Frequent pattern mining

Aggarwal, Charu C. (Ed.)

Frequent pattern mining - Switzerland: Springer, 2014. - xix, 471 p.; pb; 24 cm.

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.

9783319346892


Artificial Intelligence
Biometrics
Computer Science
Pattern Perception
Data Mining & Knowledge Discovery
Pattern Recognition

006.312 / AGG


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