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Information systems --- Database management. --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Database management
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Information systems --- Database management --- Database management. --- 005.74 --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing
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Information systems --- Database management. --- Data warehousing.
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Information systems --- Database management --- Database searching --- Congresses.
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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.
Data mining. --- Database management. --- Information systems
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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. .
Mathematical statistics --- statistiek --- meta-analyse --- database management
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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]
Database management --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Database management. --- Bases de données --- Gestion --- 681.3*H2 --- 681.3*H2 Database management: security; integrity; protection--See also {?681.5*E5} --- Database management: security; integrity; protection--See also {?681.5*E5} --- Gestion. --- Organization theory --- Information systems --- database management --- DBMS (database management system) --- Bases de données
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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.
Information systems --- Database design --- Database management --- 681.3*H2 --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- 681.3*H2 Database management: security; integrity; protection--See also {?681.5*E5} --- Database management: security; integrity; protection--See also {?681.5*E5}
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Database management --- Bases de données --- Periodicals. --- Gestion --- Périodiques --- Database management. --- information science --- content development --- web content aggregation --- content management --- database management --- Data base management --- DBMS (Computer science) --- Generalized data management systems --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Information retrieval --- Computer. Automation --- Computer Science --- Data services (Database management) --- Database management services --- Services, Database management
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