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Frequent Pattern Mining - Farid - 10-01-2023
![[Image: N3WC4C.rst3a89vlpy9.jpg]](https://i.im.ge/2023/10/01/N3WC4C.rst3a89vlpy9.jpg)
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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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Frequent Pattern Mining.pdf (11.13 MB)
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