Frequent pattern mining
Material type:
TextLanguage: English Publication details: New York Springer 2014Description: xix, 471p. : illISBN: - 9783319078205
- D65,8(B),27 Q4
Textual
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Central Science Library | Central Science Library | D65,8(B),27 Q4 (Browse shelf(Opens below)) | Available | SL1598014 |
Index 469-471p.
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.
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