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» Compressing Pattern Databases
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245
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ICDE
1995
IEEE
192views Database» more  ICDE 1995»
16 years 1 months ago
Mining Sequential Patterns
Abstract. The problem of mining sequential patterns was recently introduced in 3 . We are given a database of sequences, where each sequence is a list of transactions ordered by tr...
Rakesh Agrawal, Ramakrishnan Srikant
88
Voted
KDD
2006
ACM
109views Data Mining» more  KDD 2006»
16 years 1 months ago
Extracting redundancy-aware top-k patterns
Observed in many applications, there is a potential need of extracting a small set of frequent patterns having not only high significance but also low redundancy. The significance...
Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han
DASFAA
2010
IEEE
225views Database» more  DASFAA 2010»
15 years 25 days ago
Mining Regular Patterns in Data Streams
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed,...
SIGMOD
2008
ACM
144views Database» more  SIGMOD 2008»
16 years 23 days ago
Mining significant graph patterns by leap search
With ever-increasing amounts of graph data from disparate sources, there has been a strong need for exploiting significant graph patterns with user-specified objective functions. ...
Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu
102
Voted
ICPR
2006
IEEE
1161views computer vision» more  ICPR 2006»
16 years 1 months ago
Local Binary Pattern Descriptors for Dynamic Texture Recognition
Dynamic texture is an extension of texture to the temporal domain. In this paper, a new method for recognizing dynamic textures is proposed. The textures are modeled with concaten...
Guoying Zhao, Matti Pietikäinen