TY  - GEN
TY  - GEN
T1  - Frequent Pattern Mining
A2  - Aggarwal, Charu C.
A2  - Aggarwal, Charu C.
A2  - Han, Jiawei.
A2  - Han, Jiawei.
LA  - English
PP  - Cham
PB  - Springer International Publishing : Imprint: Springer
YR  - 2014
ED  - 1st ed. 2014.
UL  - http://discoverylib.upm.edu.my/discovery/Record/978-3-319-07821-2
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.
OP  - 471
CN  - QA76.9.D343
SN  - 9783319078212
KW  - Data mining.
KW  - Database management.
KW  - Artificial intelligence.
KW  - Pattern recognition.
KW  - Biometrics (Biology).
KW  - Data Mining and Knowledge Discovery.
KW  - Database Management.
KW  - Artificial Intelligence.
KW  - Pattern Recognition.
KW  - Biometrics.
ER  -