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112
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ICDM
2006
IEEE
143views Data Mining» more  ICDM 2006»
15 years 9 months ago
Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval
In this paper, we investigate the use of data mining, in particular the text classification and co-training techniques, to identify more relevant passages based on a small set of...
Xiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, ...
165
Voted
CIKM
2009
Springer
15 years 8 months ago
A novel approach for privacy mining of generic basic association rules
Data mining can extract important knowledge from large data collections - but sometimes these collections are split among various parties. Privacy concerns may prevent the parties...
Moez Waddey, Pascal Poncelet, Sadok Ben Yahia
122
Voted
PKDD
2005
Springer
138views Data Mining» more  PKDD 2005»
15 years 9 months ago
Indexed Bit Map (IBM) for Mining Frequent Sequences
Sequential pattern mining has been an emerging problem in data mining. In this paper, we propose a new algorithm for mining frequent sequences. It processes only one scan of the da...
Lionel Savary, Karine Zeitouni
100
Voted
AUSDM
2007
Springer
76views Data Mining» more  AUSDM 2007»
15 years 10 months ago
Evaluation of a Graduate Level Data Mining Course with Industry Participants
Data mining courses are increasingly being taught at many universities at both undergraduate and graduate levels. This paper reports on a new graduate level data mining course run...
Peter Christen
126
Voted
IKE
2010
15 years 1 months ago
Potential Application of Contextual Information Processing To Data Mining
Contextual processing is a new emerging field based on the notion that information surrounding an event lends new meaning to the interpretation of the event. Data mining is the pr...
Gregory Vert, Anitha Chennamaneni, S. Sitharama Iy...