Frequent Pattern Mining 2014 Edition Contributor(s): Aggarwal, Charu C. (Editor), Han, Jiawei (Editor) |
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ISBN: 3319078208 ISBN-13: 9783319078205 Publisher: Springer
Binding Type: Hardcover - See All Available Formats & Editions Published: September 2014 |
Additional Information |
BISAC Categories: - Computers | Databases - Data Mining - Computers | Computer Vision & Pattern Recognition - Computers | System Administration - Storage & Retrieval |
Dewey: 005.74 |
Physical Information: 1.06" H x 6.14" W x 9.21" L (1.90 lbs) 471 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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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