TY  - GEN
AU  - Aggarwal, Charu C. (Ed.)
AU  - Han, Jiawei (Eds.)
TI  - Frequent pattern mining
SN  - 9783319346892
U1  - 006.312 
PY  - 2014///
CY  - Switzerland
PB  - Springer
KW  - Artificial Intelligence
KW  - Biometrics
KW  - Computer Science
KW  - Pattern Perception
KW  - Data Mining & Knowledge Discovery
KW  - Pattern Recognition
N2  - 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
ER  -