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IDA
2005
Springer
14 years 1 months ago
From Local Pattern Mining to Relevant Bi-cluster Characterization
Clustering or bi-clustering techniques have been proved quite useful in many application domains. A weakness of these techniques remains the poor support for grouping characterizat...
Ruggero G. Pensa, Jean-François Boulicaut
WSDM
2010
ACM
197views Data Mining» more  WSDM 2010»
14 years 5 months ago
Adapting Information Bottleneck Method for Automatic Construction of Domain-oriented Sentiment Lexicon
Domain-oriented sentiment lexicons are widely used for finegrained sentiment analysis on reviews; therefore, the automatic construction of domain-oriented sentiment lexicon is a f...
Songbo Tan, Weifu Du, Xiaochun Yun, Xueqi Cheng
KDD
2001
ACM
118views Data Mining» more  KDD 2001»
14 years 8 months ago
Infominer: mining surprising periodic patterns
In this paper, we focus on mining surprising periodic patterns in a sequence of events. In many applications, e.g., computational biology, an infrequent pattern is still considere...
Jiong Yang, Wei Wang 0010, Philip S. Yu
AUSDM
2008
Springer
221views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Mining Medical Specialist Billing Patterns for Health Service Management
This paper presents an application of association rule mining in compliance in the context of health service management. There are approximately 500 million transactions processed...
Yin Shan, David Jeacocke, D. Wayne Murray, Alison ...
KDD
2008
ACM
165views Data Mining» more  KDD 2008»
14 years 8 months ago
Colibri: fast mining of large static and dynamic graphs
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, P...