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SIGKDD
2010
125views more  SIGKDD 2010»
13 years 3 months ago
A framework for mining interesting pattern sets
This paper suggests a framework for mining subjectively interesting pattern sets that is based on two components: (1) the encoding of prior information in a model for the data min...
Tijl De Bie, Kleanthis-Nikolaos Kontonasios, Eirin...
IDA
2011
Springer
13 years 3 months ago
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets
The amount of data produced by ubiquitous computing applications is quickly growing, due to the pervasive presence of small devices endowed with sensing, computing and communicatio...
Annalisa Appice, Michelangelo Ceci, Antonio Turi, ...
ICDE
2005
IEEE
176views Database» more  ICDE 2005»
14 years 2 months ago
LAPIN-SPAM: An Improved Algorithm for Mining Sequential Pattern
Sequence pattern mining is an important research problem because it is the basis of many other applications. Yet how to efficiently implement the mining is difficult due to the ...
Zhenglu Yang, Masaru Kitsuregawa
ICASSP
2010
IEEE
13 years 8 months ago
Graph based event detection from realistic videos using weak feature correspondence
We study the problem of event detection from realistic videos with repetitive sequential human activities. Despite the large body of work on event detection and recognition, very ...
Lei Ding, Quanfu Fan, Jen-Hao Hsiao, Sharath Panka...
KDD
2004
ACM
144views Data Mining» more  KDD 2004»
14 years 9 months ago
IncSpan: incremental mining of sequential patterns in large database
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
Hong Cheng, Xifeng Yan, Jiawei Han