Frequent Pattern Mining

471 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Themen: Informatik und Informationstechnologie Datenbanken / Datenmanagement Data Mining
• ISBN: 9783319346892
• Sprache: Englisch
• Erscheinungsdatum: 10.09.2016
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing
• Herausgegeben von: Charu C. Aggarwal, Jiawei Han