knowledge discovery in computer databases

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Mourad Elloumi Biological Knowledge Discovery Handbook. Preprocessing, Mining and Postprocessing of Biological Data Mourad Elloumi Biological Knowledge Discovery Handbook. Preprocessing, Mining and Postprocessing of Biological Data
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Mourad Elloumi Biological Knowledge Discovery Handbook. Preprocessing, Mining and Postprocessing of Biological Data


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14022.96 руб.

The first comprehensive overview of preprocessing, mining, and postprocessing of biological data Molecular biology is undergoing exponential growth in both the volume and complexity of biological data—and knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD)—providing in-depth fundamental and technical field information on the most important topics encountered. Written by top experts, Biological Knowledge Discovery Handbook: Preprocessing, Mining, and Postprocessing of Biological Data covers the three main phases of knowledge discovery (data preprocessing, data processing—also known as data mining—and data postprocessing) and analyzes both verification systems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological Data Mining Combining sound theory with practical applications in molecular biology, Biological Knowledge Discovery Handbook is ideal for courses in bioinformatics and biological KDD as well as for practitioners and professional researchers in computer science, life science, and mathematics.

Evgeniy Goryushkin Databases in DMS of Microsoft Access: methodical handbook on computer science Evgeniy Goryushkin Databases in DMS of Microsoft Access: methodical handbook on computer science
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Evgeniy Goryushkin Databases in DMS of Microsoft Access: methodical handbook on computer science


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69.9 руб.

The educational and methodical manual is a complex set of tasks for the development of databases, as well as a set of tasks for independent work and control questions. There are tasks which are provided for work in the program MS Access, and included in the package of application programs Microsoft Office 2010. The development contains both theoretical and practical parts. This publication is recommended for the teacher for effective formation of both theoretical knowledge and practical skills of students of the international faculty of various specialties. It will be also useful for students who are starting to study this program for the first time and wish to increase and consolidate their level of knowledge and skills in the field of database development.

Walter Piegorsch W. Statistical Data Analytics. Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual Walter Piegorsch W. Statistical Data Analytics. Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual
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Walter Piegorsch W. Statistical Data Analytics. Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual


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2061.82 руб.

Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and knowledge discovery. Extensive solutions using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, astronomy, socioeconomics, marketing, advertising and finance, among many others.

Ken Cook Access 2019 For Dummies Ken Cook Access 2019 For Dummies
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Ken Cook Access 2019 For Dummies


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2333.08 руб.

Easy steps to practical databases People who really know how to build, populate, and simplify databases are few and far between. Access 2019 For Dummies is here to help you join the ranks of office heroes who possess these precious skills. This book offers clear and simple advice on how to build and operate databases as well as create simple forms, import data from outside sources, query databases for information, and share knowledge in reports. In short, it’s the book that holds all the secrets behind the mysteries of Access! Build effective databases from the ground up Simplify your data entry with forms and tables Write queries that produce answers to your data questions Simplify input with forms There’s no time like the present to get your hands on the insight that database beginners need to become Access gurus.

Malcolm Atkinson The Data Bonanza. Improving Knowledge Discovery in Science, Engineering, and Business Malcolm Atkinson The Data Bonanza. Improving Knowledge Discovery in Science, Engineering, and Business
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Malcolm Atkinson The Data Bonanza. Improving Knowledge Discovery in Science, Engineering, and Business


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8548.95 руб.

Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them. This book frames for the first time a new systematic approach for tackling the challenges of data-intensive computing, providing decision makers and technical experts alike with practical tools for dealing with our exploding data collections. Emphasizing data-intensive thinking and interdisciplinary collaboration, The Data Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business examines the essential components of knowledge discovery, surveys many of the current research efforts worldwide, and points to new areas for innovation. Complete with a wealth of examples and DISPEL-based methods demonstrating how to gain more from data in real-world systems, the book: Outlines the concepts and rationale for implementing data-intensive computing in organizations Covers from the ground up problem-solving strategies for data analysis in a data-rich world Introduces techniques for data-intensive engineering using the Data-Intensive Systems Process Engineering Language DISPEL Features in-depth case studies in customer relations, environmental hazards, seismology, and more Showcases successful applications in areas ranging from astronomy and the humanities to transport engineering Includes sample program snippets throughout the text as well as additional materials on a companion website The Data Bonanza is a must-have guide for information strategists, data analysts, and engineers in business, research, and government, and for anyone wishing to be on the cutting edge of data mining, machine learning, databases, distributed systems, or large-scale computing.

Паклин Николай Борисович, Орешков Вячеслав Игоревич Бизнес-аналитика: от данных к знаниям (+СD) Паклин Николай Борисович, Орешков Вячеслав Игоревич Бизнес-аналитика: от данных к знаниям (+СD)
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Паклин Николай Борисович, Орешков Вячеслав Игоревич Бизнес-аналитика: от данных к знаниям (+СD)


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391 руб.

Книга представляет собой руководство для бизнес-аналитиков, занимающихся внедрением корпоративных аналитических систем. В теоретической части последовательно освещаются современные технологии сбора и анализа структурированной информации: хранилища данных, ETL, OLAP, Data Mining, Knowledge Discovery in Databases. В практической части иллюстрируются примеры решения бизнес-задач на аналитической платформе Deductor Academic. Книга будет полезна всем интересующимся вопросами интеллектуального анализа данных и методами автоматического поиска закономерностей в массивах информации. Для специалистов в области анализа данных, студентов и аспирантов.

Rankovic Zoran Lead Generation Approaches in Drug Discovery Rankovic Zoran Lead Generation Approaches in Drug Discovery
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Rankovic Zoran Lead Generation Approaches in Drug Discovery


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9490.51 руб.

An integrated overview of modern approaches to lead discovery Lead generation is increasingly seen as a distinct and success-determining phase of the drug discovery process. Over recent years, there have been major advances in the understanding of what constitutes a good lead compound and how to improve the chances of finding such a compound. Written by leading scientists and established opinion leaders from industry and academia, this book provides an authoritative overview of the field, as well as the theory, practice, and scope, of the principal Lead Generation Approaches in Drug Discovery, including: The evolution of the lead discovery process, key concepts, current challenges, and future directions Strategies and technologies driving the high-throughput screening (HTS) approach to lead discovery, including the shifting paradigms in the design of compound collections and best practice in the hit confirmation process Knowledge-based in silico or «virtual» screening Theory and practice of the fragment-based approach to lead discovery The opportunities and challenges presented by multi-target drug discovery (MTDD) De novo design of lead compounds and new approaches to estimating the synthetic accessibility of de novo–designed molecules The impact of natural products on drug discovery, and potential of natural product–like compounds for exploring regions of biologically relevant chemical space Using early screening of hits and leads for metabolic, pharmacokinetic, and toxicological liabilities to reduce attrition during the later phases of drug discovery The utility of parallel synthesis and purification in lead discovery With each topic supported by numerous case studies, this is indispensable reading for researchers in industry and academia who wish to keep up to date with the latest strategies and approaches in drug discovery.

Jonathan Eckstein Introductory Relational Database Design for Business, with Microsoft Access Jonathan Eckstein Introductory Relational Database Design for Business, with Microsoft Access
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Jonathan Eckstein Introductory Relational Database Design for Business, with Microsoft Access


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7498.83 руб.

A hands-on beginner’s guide to designing relational databases and managing data using Microsoft Access Relational databases represent one of the most enduring and pervasive forms of information technology. Yet most texts covering relational database design assume an extensive, sophisticated computer science background. There are texts on relational database software tools like Microsoft Access that assume less background, but they focus primarily on details of the user interface, with inadequate coverage of the underlying design issues of how to structure databases. Growing out of Professor Jonathan Eckstein’s twenty years’ experience teaching courses on management information systems (MIS) at Rutgers Business School, this book fills this gap in the literature by providing a rigorous introduction to relational databases for readers without prior computer science or programming experience. Relational Database Design for Business, with Microsoft Access helps readers to quickly develop a thorough, practical understanding of relational database design. It takes a step-by-step, real-world approach, using application examples from business and finance every step the way. As a result, readers learn to think concretely about database design and how to address issues that commonly arise when developing and manipulating relational databases. By the time they finish the final chapter, students will have the knowledge and skills needed to build relational databases with dozens of tables. They will also be able to build complete Microsoft Access applications around such databases. This text: Takes a hands-on approach using numerous real-world examples drawn from the worlds of business, finance, and more Gets readers up and running, fast, with the skills they need to use and develop relational databases with Microsoft Access Moves swiftly from conceptual fundamentals to advanced design techniques Leads readers step-by-step through data management and design, relational database theory, multiple tables and the possible relationships between them, Microsoft Access features such as forms and navigation, formulating queries in SQL, and normalization Introductory Relational Database Design for Business, with Microsoft Access is the definitive guide for undergraduate and graduate students in business, finance, and data analysis without prior experience in database design. While Microsoft Access is its primary “hands-on” learning vehicle, most of the skills in this text are transferrable to other relational database software such as MySQL.

Jie Jack Li Drug Discovery. Practices, Processes, and Perspectives Jie Jack Li Drug Discovery. Practices, Processes, and Perspectives
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Jie Jack Li Drug Discovery. Practices, Processes, and Perspectives


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9973.3 руб.

Sets forth the history, state of the science, and future directions of drug discovery Edited by Jie Jack Li and Nobel laureate E. J. Corey, two leading pioneers in drug discovery and medicinal chemistry, this book synthesizes great moments in history, the current state of the science, and future directions of drug discovery into one expertly written and organized work. Exploring all major therapeutic areas, the book introduces readers to all facets and phases of drug discovery, including target selection, biological testing, drug metabolism, and computer-assisted drug design. Drug Discovery features chapters written by an international team of pharmaceutical and medicinal chemists. Contributions are based on a thorough review of the current literature as well as the authors' firsthand laboratory experience in drug discovery. The book begins with the history of drug discovery, describing groundbreaking moments in the field. Next, it covers such topics as: Target identification and validation Drug metabolism and pharmacokinetics Central nervous system drugs In vitro and in vivo assays Cardiovascular drugs Cancer drugs Each chapter features a case study, helping readers understand how science is put into practice throughout all phases of drug discovery. References at the end of each chapter serve as a gateway to groundbreaking original research studies and reviews in the field. Drug Discovery is ideal for newcomers to medicinal chemistry and drug discovery, providing a comprehensive overview of the field. Veterans in the field will also benefit from the perspectives of leading international experts in all aspects of drug discovery.

Erik Laykin Investigative Computer Forensics. The Practical Guide for Lawyers, Accountants, Investigators, and Business Executives Erik Laykin Investigative Computer Forensics. The Practical Guide for Lawyers, Accountants, Investigators, and Business Executives
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Erik Laykin Investigative Computer Forensics. The Practical Guide for Lawyers, Accountants, Investigators, and Business Executives


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6612.24 руб.

Having worked with Erik on some of the most challenging computer forensic investigations during the early years of this industry's formation as well as having competed with him earnestly in the marketplace…I can truly say that Erik is one of the unique pioneers of computer forensic investigations. He not only can distill complex technical information into easily understandable concepts, but he always retained a long-term global perspective on the relevancy of our work and on the impact of the information revolution on the social and business structures of tomorrow. —From the Foreword by James Gordon, Managing Director, Navigant Consulting, Inc. Get the knowledge you need to make informed decisions throughout the computer forensic investigation process Investigative Computer Forensics zeroes in on a real need felt by lawyers, jurists, accountants, administrators, senior managers, and business executives around the globe: to understand the forensic investigation landscape before having an immediate and dire need for the services of a forensic investigator. Author Erik Laykin—leader and pioneer of computer forensic investigations—presents complex technical information in easily understandable concepts, covering: A primer on computers and networks Computer forensic fundamentals Investigative fundamentals Objectives and challenges in investigative computer forensics E-discovery responsibilities The future of computer forensic investigations Get the knowledge you need to make tough decisions during an internal investigation or while engaging the capabilities of a computer forensic professional with the proven guidance found in Investigative Computer Forensics.

Ekins Sean Drug Efficacy, Safety, and Biologics Discovery. Emerging Technologies and Tools Ekins Sean Drug Efficacy, Safety, and Biologics Discovery. Emerging Technologies and Tools
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Ekins Sean Drug Efficacy, Safety, and Biologics Discovery. Emerging Technologies and Tools


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11590.87 руб.

Drug Efficacy, Safety, and Biologics Discovery: Emerging Technologies and Tools covers key emerging technologies in pharmaceutical R & D and how they have substantially impacted (or are currently impacting) drug discovery. The cross-disciplinary collaborations implicit in integrating these technologies with drug discovery operations will fuel the engine for future innovations. This book cuts across the multiple areas of drug discovery, each chapter authored by pioneers in that field, making for a broad appeal to the chemical and biological scientists and technologists involved in drug discovery and development.

Renaud Fabre New Challenges for Knowledge. Digital Dynamics to Access and Sharing Renaud Fabre New Challenges for Knowledge. Digital Dynamics to Access and Sharing
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Renaud Fabre New Challenges for Knowledge. Digital Dynamics to Access and Sharing


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8623.66 руб.

Digital technologies are reshaping every field of social and economic lives, so do they in the world of scientific knowledge. “The New Challenges of Knowledge” aims at understanding how the new digital technologies alter the production, diffusion and valorization of knowledge. We propose to give an insight into the economical, geopolitical and political stakes of numeric in knowledge in different countries. Law is at the center of this evolution, especially in the case of national and international confusion about Internet, Science and knowledge.

Ian Redpath e-Discovery For Dummies Ian Redpath e-Discovery For Dummies
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Ian Redpath e-Discovery For Dummies


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2073.78 руб.

Discover the process of e-discovery and put good practices in place. Electronic information involved in a lawsuit requires a completely different process for management and archiving than paper information. With the recent change to Federal Rules of Civil Procedure making all lawsuits subject to e-discovery as soon as they are filed, it is more important than ever to make sure that good e-discovery practices are in place. e-Discovery For Dummies is an ideal beginner resource for anyone looking to understand the rules and implications of e-discovery policy and procedures. This helpful guide introduces you to all the most important information for incorporating legal, technical, and judicial issues when dealing with the e-discovery process. You'll learn the various risks and best practices for a company that is facing litigation and you'll see how to develop an e-discovery strategy if a company does not already have one in place. E-discovery is the process by which electronically stored information sought, located, secured, preserved, searched, filtered, authenticated, and produced with the intent of using it as evidence Addresses the rules and process of e-discovery and the implications of not having good e-discovery practices in place Explains how to develop an e-discovery strategy if a company does not have one in place e-Discovery For Dummies will help you discover the process and best practices of managing electronic information for lawsuits.

Lu Chuang Enzyme Inhibition in Drug Discovery and Development. The Good and the Bad Lu Chuang Enzyme Inhibition in Drug Discovery and Development. The Good and the Bad
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Lu Chuang Enzyme Inhibition in Drug Discovery and Development. The Good and the Bad


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17421.31 руб.

The science and applied approaches of enzyme inhibition in drug discovery and development Offering a unique approach that includes both the pharmacologic and pharmaco-kinetic aspects of enzyme inhibition, Enzyme Inhibition in Drug Discovery and Development examines the scientific concepts and experimental approaches related to enzyme inhibition as applied in drug discovery and drug development. With chapters written by over fifty leading experts in their fields, Enzyme Inhibition in Drug Discovery and Development fosters a cross-fertilization of pharmacology, drug metabolism, pharmacokinetics, and toxicology by understanding the «good» inhibitions—desirable pharmacological effects—and «bad» inhibitions—drug–drug interactions and toxicity. The book discusses: The drug discovery process, including drug discovery strategy, medicinal chemistry, analytical chemistry, drug metabolism, pharmacokinetics, and safety biomarker assessment The manipulations of drug metabolizing enzymes and transporters as well as the negative consequences, such as drug–drug interactions The inhibition of several major drug target pathways, such as the GPCR pathway, the NFkB pathway, and the ion channel pathway Through this focused, single-source reference on the fundamentals of drug discovery and development, researchers in drug metabolism and pharmacokinetics (DMPK) will learn and appreciate target biology in drug discovery; discovery biologists and medicinal chemists will also broaden their understanding of DMPK.

Adam Fowler NoSQL For Dummies Adam Fowler NoSQL For Dummies
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Adam Fowler NoSQL For Dummies


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2268.26 руб.

Get up to speed on the nuances of NoSQL databases and what they mean for your organization This easy to read guide to NoSQL databases provides the type of no-nonsense overview and analysis that you need to learn, including what NoSQL is and which database is right for you. Featuring specific evaluation criteria for NoSQL databases, along with a look into the pros and cons of the most popular options, NoSQL For Dummies provides the fastest and easiest way to dive into the details of this incredible technology. You'll gain an understanding of how to use NoSQL databases for mission-critical enterprise architectures and projects, and real-world examples reinforce the primary points to create an action-oriented resource for IT pros. If you're planning a big data project or platform, you probably already know you need to select a NoSQL database to complete your architecture. But with options flooding the market and updates and add-ons coming at a rapid pace, determining what you require now, and in the future, can be a tall task. This is where NoSQL For Dummies comes in! Learn the basic tenets of NoSQL databases and why they have come to the forefront as data has outpaced the capabilities of relational databases Discover major players among NoSQL databases, including Cassandra, MongoDB, MarkLogic, Neo4J, and others Get an in-depth look at the benefits and disadvantages of the wide variety of NoSQL database options Explore the needs of your organization as they relate to the capabilities of specific NoSQL databases Big data and Hadoop get all the attention, but when it comes down to it, NoSQL databases are the engines that power many big data analytics initiatives. With NoSQL For Dummies, you'll go beyond relational databases to ramp up your enterprise's data architecture in no time.

Ekins Sean Pharmaceutical Data Mining. Approaches and Applications for Drug Discovery Ekins Sean Pharmaceutical Data Mining. Approaches and Applications for Drug Discovery
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Ekins Sean Pharmaceutical Data Mining. Approaches and Applications for Drug Discovery


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12446.57 руб.

Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challenges facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses important theoretical and practical aspects of pharmaceutical data mining, focusing on diverse approaches for drug discovery—including chemogenomics, toxicogenomics, and individual drug response prediction. The five main sections of this volume cover: A general overview of the discipline, from its foundations to contemporary industrial applications Chemoinformatics-based applications Bioinformatics-based applications Data mining methods in clinical development Data mining algorithms, technologies, and software tools, with emphasis on advanced algorithms and software that are currently used in the industry or represent promising approaches In one concentrated reference, Pharmaceutical Data Mining reveals the role and possibilities of these sophisticated techniques in contemporary drug discovery and development. It is ideal for graduate-level courses covering pharmaceutical science, computational chemistry, and bioinformatics. In addition, it provides insight to pharmaceutical scientists, principal investigators, principal scientists, research directors, and all scientists working in the field of drug discovery and development and associated industries.

Urban Laszlo Predictive ADMET. Integrated Approaches in Drug Discovery and Development Urban Laszlo Predictive ADMET. Integrated Approaches in Drug Discovery and Development
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Urban Laszlo Predictive ADMET. Integrated Approaches in Drug Discovery and Development


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12057.62 руб.

This book helps readers integrate in silico, in vitro, and in vivo ADMET (absorption, distribution, metabolism, elimination and toxicity) and PK (pharmacokinetics) data with routine testing applications so that pharmaceutical scientists can diagnose ADMET problems and present appropriate recommendations to move drug discovery programs forward. The book introduces the current clinical practice for drug discovery and development along with the impact on early risk assessment; consolidates the tools and models to intelligently integrate existing in silico, in vitro and in vivo ADMET data; and demonstrates successful cases and lessons learned from real drug discovery and development. In short, it is a book aimed to provide a practical road map for drug discovery and development scientists to generate efficacious and safe drugs for unmet medical needs.

Brunt James W. Ecological Data. Design, Management and Processing Brunt James W. Ecological Data. Design, Management and Processing
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Brunt James W. Ecological Data. Design, Management and Processing


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11586.98 руб.

Ecologists are increasingly tackling difficult issues like global change, loss of biodiversity and sustainability of ecosystem services. These and related topics are enormously challenging, requiring unprecedented multidisciplinary collaboration and rapid synthesis of large amounts of diverse data into information and ultimately knowledge. New sensors, computers, data collection and storage devices and analytical and statistical methods provide a powerful tool kit to support analyses, graphics and visualizations that were unthinkable even a few years ago. New and increased emphasis on accessibility, management, processing and sharing of high-quality, well-maintained and understandable data represents a significant change in how scientists view and treat data. These issues are complex and despite their importance, are typically not addressed in database, ecological and statistical textbooks. This book addresses these issues, providing a much needed resource for those involved in designing and implementing ecological research, as well as students who are entering the environmental sciences. Chapters focus on the design of ecological studies, data management principles, scientific databases, data quality assurance, data documentation, archiving ecological data and information and processing data into information and knowledge. The book stops short of a detailed treatment of data analysis, but does provide pointers to the relevant literature in graphics, statistics and knowledge discovery. The central thesis of the book is that high quality data management systems are critical for addressing future environmental challenges. This requires a new approach to how we conduct ecological research, that views data as a resource and promotes stewardship, recycling and sharing of data. Ecological Data will be particularly useful to those ecologists and information specialists that actively design, manage and analyze environmental databases. However, it will also benefit a wider audience of scientists and students in the ecological and environmental sciences.

Jens-Uwe Peters Polypharmacology in Drug Discovery Jens-Uwe Peters Polypharmacology in Drug Discovery
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Jens-Uwe Peters Polypharmacology in Drug Discovery


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10657.38 руб.

An essential outline of the main facets of polypharmacology in drug discovery research Extending drug discovery opportunities beyond the «one drug, one target» philosophy, a polypharmacological approach to the treatment of complex diseases is emerging as a hot topic in both industry and academic research. Polypharmacology in Drug Discovery presents an overview of the various facets of polypharmacology and how it can be applied as an innovative concept for developing medicines for treating bacterial infections, epilepsy, cancer, psychiatric disorders, and more. Filled with a collection of instructive case studies that reinforce the material and illuminate the subject, this practical guide: Covers the two-sided nature of polypharmacology—its contribution to adverse drug reactions and its benefit in certain therapeutic drug classes Addresses the important topic of polypharmacology in drug discovery, a subject that has not been thoroughly covered outside of scattered journal articles Overviews state-of-the-art approaches and developments to help readers understand concepts and issues related to polypharmacology Fosters interdisciplinary drug discovery research by embracing computational, synthetic, in vitro and in vivo pharmacological and clinical aspects of polypharmacology A clear road map for helping readers successfully navigate around the problems involved with promiscuous ligands and targets, Polypharmacology in Drug Discovery provides real examples, in-depth explanations and discussions, and detailed reviews and opinions to spark inspiration for new drug discovery projects.

Daniel Larose T. Discovering Knowledge in Data. An Introduction to Data Mining Daniel Larose T. Discovering Knowledge in Data. An Introduction to Data Mining
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Daniel Larose T. Discovering Knowledge in Data. An Introduction to Data Mining


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7230.68 руб.

The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before. This book provides the tools needed to thrive in today’s big data world. The author demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”. By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining. The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis. Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization Offers extensive coverage of the R statistical programming language Contains 280 end-of-chapter exercises Includes a companion website for university instructors who adopt the book

Reynaldo Anzaldua Computer Forensics For Dummies Reynaldo Anzaldua Computer Forensics For Dummies
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Reynaldo Anzaldua Computer Forensics For Dummies


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2488.67 руб.

Uncover a digital trail of e-evidence by using the helpful, easy-to-understand information in Computer Forensics For Dummies! Professional and armchair investigators alike can learn the basics of computer forensics, from digging out electronic evidence to solving the case. You won’t need a computer science degree to master e-discovery. Find and filter data in mobile devices, e-mail, and other Web-based technologies. You’ll learn all about e-mail and Web-based forensics, mobile forensics, passwords and encryption, and other e-evidence found through VoIP, voicemail, legacy mainframes, and databases. You’ll discover how to use the latest forensic software, tools, and equipment to find the answers that you’re looking for in record time. When you understand how data is stored, encrypted, and recovered, you’ll be able to protect your personal privacy as well. By the time you finish reading this book, you’ll know how to: Prepare for and conduct computer forensics investigations Find and filter data Protect personal privacy Transfer evidence without contaminating it Anticipate legal loopholes and opponents’ methods Handle passwords and encrypted data Work with the courts and win the case Plus, Computer Forensics for Dummies includes lists of things that everyone interested in computer forensics should know, do, and build. Discover how to get qualified for a career in computer forensics, what to do to be a great investigator and expert witness, and how to build a forensics lab or toolkit. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Young Daniel L. Systems Biology in Drug Discovery and Development Young Daniel L. Systems Biology in Drug Discovery and Development
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Young Daniel L. Systems Biology in Drug Discovery and Development


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9879.47 руб.

The first book to focus on comprehensive systems biology as applied to drug discovery and development Drawing on real-life examples, Systems Biology in Drug Discovery and Development presents practical applications of systems biology to the multiple phases of drug discovery and development. This book explains how the integration of knowledge from multiple sources, and the models that best represent that integration, inform the drug research processes that are most relevant to the pharmaceutical and biotechnology industries. The first book to focus on comprehensive systems biology and its applications in drug discovery and development, it offers comprehensive and multidisciplinary coverage of all phases of discovery and design, including target identification and validation, lead identification and optimization, and clinical trial design and execution, as well as the complementary systems approaches that make these processes more efficient. It also provides models for applying systems biology to pharmacokinetics, pharmacodynamics, and candidate biomarker identification. Introducing and explaining key methods and technical approaches to the use of comprehensive systems biology on drug development, the book addresses the challenges currently facing the pharmaceutical industry. As a result, it is essential reading for pharmaceutical and biotech scientists, pharmacologists, computational modelers, bioinformaticians, and graduate students in systems biology, pharmaceutical science, and other related fields.

Lesley Crane Knowledge and Discourse Matters. Relocating Knowledge Management's Sphere of Interest onto Language Lesley Crane Knowledge and Discourse Matters. Relocating Knowledge Management's Sphere of Interest onto Language
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Lesley Crane Knowledge and Discourse Matters. Relocating Knowledge Management's Sphere of Interest onto Language


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8248.71 руб.

This book provides a practical approach to harnessing knowledge in organizations. Its focus is on knowledge sharing, tacit knowing, and a view of knowledge as an accomplishment in social interaction. The aim of this book is to explore and show how the phenomena of trust, risk and identity, as contexts constructed by speakers themselves, influence and mediate knowledge sharing in organizational encounters. The research particularly reveals how tacit knowledge (knowing), affects the scope and directions of everyday conversation. The first part of the book presents a comprehensive critical appraisal and analysis of the field of organizational knowledge management, followed by an introduction to the theory and methodology of discourse analysis, and a view of tacit knowing drawn from studies in implicit learning. The second part reports the detailed analysis and findings of original field research, investigating how participants in regular organizational meetings, including a discussion forum, manage the business of sharing knowledge. From the perspective of the research methodology, drawing on Discursive Psychology, knowledge is approached as an accomplishment in social interaction, with talk and text shown to be constructive, functional and action-oriented. Presents a rigorous, evidence-based approach to Knowledge Management using original research Approaches discourse as the location of knowledge work, and the site to which knowledge management practice should be focused Positions the actions of knowledge work in everyday talk and text, thus giving practitioners a ready toolset to improve their strategies, practices and understanding of knowledge within organizations Knowledge and Discourse Matters: Relocating Knowledge Management’s Sphere of Interest onto Language is a great reference for organizational leaders, knowledge managers, and human resource managers. Dr. Lesley Crane is an independent consultant specializing in knowledge management, and technology supported learning for adults (e-learning). Much of her consultancy work involves providing strategic advice and research on the effective use of e-content, e-tools and the use of new technologies in the delivery of teaching and learning. Prior to working as a consultant, Lesley was Managing Director of her own SME business specializing in creative e-learning design and development for public and private sector organizations.

Ramoni Marco Knowledge-Based Bioinformatics. From analysis to interpretation Ramoni Marco Knowledge-Based Bioinformatics. From analysis to interpretation
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Ramoni Marco Knowledge-Based Bioinformatics. From analysis to interpretation


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6767.82 руб.

There is an increasing need throughout the biomedical sciences for a greater understanding of knowledge-based systems and their application to genomic and proteomic research. This book discusses knowledge-based and statistical approaches, along with applications in bioinformatics and systems biology. The text emphasizes the integration of different methods for analysing and interpreting biomedical data. This, in turn, can lead to breakthrough biomolecular discoveries, with applications in personalized medicine. Key Features: Explores the fundamentals and applications of knowledge-based and statistical approaches in bioinformatics and systems biology. Helps readers to interpret genomic, proteomic, and metabolomic data in understanding complex biological molecules and their interactions. Provides useful guidance on dealing with large datasets in knowledge bases, a common issue in bioinformatics. Written by leading international experts in this field. Students, researchers, and industry professionals with a background in biomedical sciences, mathematics, statistics, or computer science will benefit from this book. It will also be useful for readers worldwide who want to master the application of bioinformatics to real-world situations and understand biological problems that motivate algorithms.


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A hands-on beginner’s guide to designing relational databases and managing data using Microsoft Access Relational databases represent one of the most enduring and pervasive forms of information technology. Yet most texts covering relational database design assume an extensive, sophisticated computer science background. There are texts on relational database software tools like Microsoft Access that assume less background, but they focus primarily on details of the user interface, with inadequate coverage of the underlying design issues of how to structure databases. Growing out of Professor Jonathan Eckstein’s twenty years’ experience teaching courses on management information systems (MIS) at Rutgers Business School, this book fills this gap in the literature by providing a rigorous introduction to relational databases for readers without prior computer science or programming experience. Relational Database Design for Business, with Microsoft Access helps readers to quickly develop a thorough, practical understanding of relational database design. It takes a step-by-step, real-world approach, using application examples from business and finance every step the way. As a result, readers learn to think concretely about database design and how to address issues that commonly arise when developing and manipulating relational databases. By the time they finish the final chapter, students will have the knowledge and skills needed to build relational databases with dozens of tables. They will also be able to build complete Microsoft Access applications around such databases. This text: Takes a hands-on approach using numerous real-world examples drawn from the worlds of business, finance, and more Gets readers up and running, fast, with the skills they need to use and develop relational databases with Microsoft Access Moves swiftly from conceptual fundamentals to advanced design techniques Leads readers step-by-step through data management and design, relational database theory, multiple tables and the possible relationships between them, Microsoft Access features such as forms and navigation, formulating queries in SQL, and normalization Introductory Relational Database Design for Business, with Microsoft Access is the definitive guide for undergraduate and graduate students in business, finance, and data analysis without prior experience in database design. While Microsoft Access is its primary “hands-on” learning vehicle, most of the skills in this text are transferrable to other relational database software such as MySQL.
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