TY - BOOK
T1 - Frequent pattern mining
AU - Aggarwal, Charu C.
AU - Han, Jiawei
N1 - Publisher Copyright:
© 2014 Springer International Publishing Switzerland. All rights are reserved.
PY - 2014/7/1
Y1 - 2014/7/1
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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84930326957&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-07821-2
DO - 10.1007/978-3-319-07821-2
M3 - Book
AN - SCOPUS:84930326957
SN - 3319078208
SN - 9783319078205
VL - 9783319078212
BT - Frequent pattern mining
PB - Springer
ER -