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» Mining association rules from imprecise ordinal data
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CIKM
2004
Springer
15 years 11 months ago
Discovering frequently changing structures from historical structural deltas of unordered XML
Recently, a large amount of work has been done in XML data mining. However, we observed that most of the existing works focus on the snapshot XML data, while XML data is dynamic i...
Qiankun Zhao, Sourav S. Bhowmick, Mukesh K. Mohani...
CIKM
2005
Springer
15 years 11 months ago
Concept-based interactive query expansion
Despite the recent advances in search quality, the fast increase in the size of the Web collection has introduced new challenges for Web ranking algorithms. In fact, there are sti...
Bruno M. Fonseca, Paulo Braz Golgher, Bruno P&ocir...
ASC
2011
15 years 1 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa
PAKDD
2005
ACM
128views Data Mining» more  PAKDD 2005»
15 years 11 months ago
A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
Traditional association rules mining cannot meet the demands arising from some real applications. By considering the different values of individual items as utilities, utility mini...
Ying Liu, Wei-keng Liao, Alok N. Choudhary
CIB
2002
100views more  CIB 2002»
15 years 6 months ago
Web-log Mining for Quantitative Temporal-Event Prediction
The web log data embed much of web users' browsing behavior. From the web logs, one can discover patterns that predict the users' future requests based on their current b...
Qiang Yang, Hui Wang, Wei Zhang