Updated and revised, Data Mining and Knowledge Discovery Handbook, 2nd Edition, presents the concepts, theories, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD). The text includes over 25 new topics, new case studies based on real-word examples, and more.
This inaugural volume on a topic of increasing importance collates research on databases, statistics, information retrieval, data mining and machine learning to provide a detailed discussion of the practical aspects and limitations of data matching.
Covering a vital aspect of the Semantic Web, itself the subject of virtually exponential increases in research dollars, this volume focuses on high-performance data management and the processing of queries in complex, real-world web applications.
This book introduces the algorithms, technologies, and systems used to process, manage and understand existing spatial trajectories. It also presents an overview on both fundamentals and the state-of-the-art research inspired by spatial trajectory data.
This book addresses the issue of “hiding” sensitive association rules, and introduces a number of heuristic answers. It presents recently discovered solutions of increased time complexity, as well as a number of computationally efficient parallel approaches.