000			01621nam a2200289Ia 4500
003			OSt
005			20250714151638.0
008			220909b |||||||| |||| 00| 0 eng d
020			_a9783319078205
037			_cTextual
040			_aCSL _beng _cCSL
041			_aeng
084			_aD65,8(B),27 Q4 _qCSL
245		0	_aFrequent pattern mining
260			_aNew York _bSpringer _c2014
300			_axix, 471p. _b: ill.
500			_aIndex 469-471p.
520			_aThis 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.
650			_a Pattern-growth methods _9815551
650			_a Sequential pattern mining _9815552
650			_a Uncertain frequent _9815553
650			_aMining algorithms _9815554
700			_aAggarwal, Charu C _eeditor
700			_aHan, Jiawei _eeditor
942			_hD65,8(B),27 Q4 _cTEXL _2CC _n0
999			_c14663 _d14663