Frequent pattern mining

書誌事項

Frequent pattern mining

Charu C. Aggarwal, Jiawei Han, editors

Springer, c2014

この図書・雑誌をさがす
注記

Including bibliographical references (p. 461-467) and index

内容説明・目次

内容説明

This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.

目次

An Introduction to Frequent Pattern Mining.- Frequent Pattern Mining Algorithms: A Survey.- Pattern-growth Methods.- Mining Long Patterns.- Interesting Patterns.- Negative Association Rules.- Constraint-based Pattern Mining.- Mining and Using Sets of Patterns through Compression.- Frequent Pattern Mining in Data Streams.- Big Data Frequent Pattern Mining.- Sequential Pattern Mining.- Spatiotemporal Pattern Mining: Algorithms and Applications.- Mining Graph Patterns.- Uncertain Frequent Pattern Mining.- Privacy in Association Rule Mining.- Frequent Pattern Mining Algorithms for Data Clustering.- Supervised Pattern Mining and Applications to Classification.- Applications of Frequent Pattern Mining.

「Nielsen BookData」 より

詳細情報
  • NII書誌ID(NCID)
    BB16782776
  • ISBN
    • 9783319078205
  • 出版国コード
    sz
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Cham
  • ページ数/冊数
    xix, 471 p.
  • 大きさ
    25 cm
  • 分類
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