Shamkant B. Navathe – författare

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For database systems courses in Computer Science This book introduces the fundamental concepts necessary for designing, using, and implementing database systems and database applications. Our presentation stresses the fundamentals of database modeling and design, the languages and models provided by the database management systems, and database system implementation techniques. The book is meant to be used as a textbook for a one- or two-semester course in database systems at the junior, senior, or graduate level, and as a reference book. The goal is to provide an in-depth and up-to-date presentation of the most important aspects of database systems and applications, and related technologies. It is assumed that readers are familiar with elementary programming and data-structuring concepts and that they have had some exposure to the basics of computer organisation.

This two volume set LNCS 9642 and LNCS 9643 constitutesthe refereed proceedings of the 21st International Conference on DatabaseSystems for Advanced Applications, DASFAA 2016, held in Dallas, TX, USA, inApril 2016.

The 61 full papers presented were carefully reviewed andselected from a total of 183 submissions. The papers cover the followingtopics: crowdsourcing, data quality, entity identification, data mining andmachine learning, recommendation, semantics computing and knowledge base,textual data, social networks, complex queries, similarity computing, graphdatabases, and miscellaneous, advanced applications.

This two volume set LNCS 9642 and LNCS 9643 constitutes the refereed proceedings of the 21st International Conference on Database Systems for Advanced Applications, DASFAA 2016, held in Dallas, TX, USA, in April 2016.

The 61 full papers presented were carefully reviewed and selected from a total of 183 submissions. The papers cover the following topics: crowdsourcing, data quality, entity identification, data mining and machine learning, recommendation, semantics computing and knowledge base, textual data, social networks, complex queries, similarity computing, graph databases, and miscellaneous, advanced applications.