Computers -- Database Management

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In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-b…

Learning with uncertainty covers a broad range of scenarios in machine learning, this book mainly focuses on: Decision tree learning with uncertainty; clustering under uncertainty environment; active learning based on uncertainty criterion; and ensemble learning in a framework o…

"This comprehensive text offers readers a detailed, reader-friendly description of the variable length codes used in the field of data compression. Readers are only required to have a general familiarity with computer methods and essentially an understanding of the representatio…

Discover how graph databases can help you manage and query highly connected data. With this practical book, you will learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your …

If you think of data as raw material, the information that you can refine can give you the power to make informed decisions. Discover how data mining can help you push your company to the top. Brown gives you common-sense steps to achieve data mining success.

Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applica…