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KI
2002
Springer
15 years 6 months ago
Employing Text Mining for Semantic Tagging in DIAsDEM
Both public and private organizations have been accumulating large volumes of electronically available text documents for the past years. However, to turn text archives into profi...
Karsten Winkler, Myra Spiliopoulou
ICDIM
2010
IEEE
15 years 4 months ago
Real-time business intelligence system architecture with stream mining
Business Intelligence (BI) capitalized on datamining and analytics techniques for discovering trends and reacting to events with quick decisions. We argued that a new breed of dat...
Yang Hang, Simon Fong
KDD
2008
ACM
138views Data Mining» more  KDD 2008»
16 years 7 months ago
Quantitative evaluation of approximate frequent pattern mining algorithms
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
Rohit Gupta, Gang Fang, Blayne Field, Michael Stei...
WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
16 years 1 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
KDD
2008
ACM
142views Data Mining» more  KDD 2008»
16 years 7 months ago
Efficient ticket routing by resolution sequence mining
IT problem management calls for quick identification of resolvers to reported problems. The efficiency of this process highly depends on ticket routing--transferring problem ticke...
Qihong Shao, Yi Chen, Shu Tao, Xifeng Yan, Nikos A...