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Frequent Pattern Mining
Aggarwal, Charu C. ; Han, Jiawei (Author)
·
Springer
· Paperback
Frequent Pattern Mining - Aggarwal, Charu C. ; Han, Jiawei
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Synopsis "Frequent Pattern Mining"
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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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