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Database system concepts
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ISBN: 0071122680 9780071122689 0072283637 9780072283631 Year: 2002 Publisher: Boston McGraw-Hill

A first course in database systems
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ISBN: 9780136006374 013600637X Year: 2008 Publisher: Upper Saddle River, N.J. Pearson/Prentice Hall

Building the data warehouse
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ISBN: 0471081302 9780471081302 Year: 2002 Publisher: New York Wiley

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First international conference on knowledge discovery and data mining: proceedings
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ISBN: 0929280822 Year: 1995 Publisher: Menlo Park, Calif. AAAI Press

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Data mining: methods for knowledge discovery
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ISBN: 0792382528 9780792382522 Year: 2000 Volume: 458 Publisher: Boston, Mass. Kluwer Academic

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Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, machine learning, neural networks, and preprocessing techniques. The book then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Numerous illustrative examples and experimental findings are also included. Each chapter comes with an extensive bibliography. Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems.


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Meta-analysis with R
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ISBN: 9783319214153 9783319214160 9783319214177 Year: 2015 Publisher: Cham Springer

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This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: publication bias and small study effects; missing data; multivariate meta-analysis, network meta-analysis; and meta-analysis of diagnostic studies. .


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Principles of database management : the practical guide to storing, managing and analyzing big and small data
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ISBN: 9781107186125 1107186129 Year: 2018 Publisher: New York : Cambridge University Press,

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"This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more. Written by experienced educators and experts in big data, analytics, data quality, and data integration, it provides an up-to-date approach to database management. This full-color, illustrated text has a balanced theory-practice focus, covering essential topics, from established database technologies to recent trends, like Big Data, NoSQL, and more. Fundamental concepts are supported by real-world examples, query and code walkthroughs, and figures, making it perfect for introductory courses for advanced undergraduates and graduate students in information systems or computer science. These examples are further supported by an online playground with multiple learning environments, including MySQL; MongoDB; Neo4j Cypher; and tree structure visualization. This combined learning approach connects key concepts throughout the text to the important, practical tools to get started in database management." [Publisher]

Knowledge discovery in inductive databases : 3rd International Workshop, KDID 2004, Pisa, Italy, September 20, 2004
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ISBN: 3540250824 9783540250821 3540318410 Year: 2005 Publisher: Berlin Springer


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Database systems : design, implementation & management
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ISBN: 9781844807321 1844807320 Year: 2008 Publisher: London Cengage Learning

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This new international version of Database Systems maintains its engaging writing style and brevity, its unique balance between theory and practice and its wealth of examples throughout the text, inspiring student-friendly learning at its best. This new international version includes new chapters on Relational Algebra and Physical Database Design, and UML modelling notation. It has been updated with all the latest developments and technologies and incorporates a generous number of localised and motivating business vignettes that tie the concepts to real-life situations.

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