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Opis

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.

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Databases Data mining

• Pełny tytuł: Frequent Pattern Mining
• Autor: Charu C. Aggarwal, Jiawei Han
• Język: Angielski
• Oprawa: Twarda
• Liczba stron: 471
• EAN: 9783319078205
• ISBN: 3319078208
• ID: 02684299
• Wydawca: Springer International Publishing AG
• Waga: 868 g
• Wymiary: 241 × 163 × 32 mm
• Data wydania: 30. August 2014

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