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Frequent Pattern Mining. Softcover reprint of the original 1st ed. 2014
・ISBN 978-3-319-34689-2 paper EUR 129.99
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★★★
| 著者・編者 | Aggarwal, Charu C. / Han, Jiawei (eds.), |
|---|---|
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2016 |
| ページ数 | 471 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-40009＞ |
解説
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.