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» Phenomenal Data Mining: From Data to Phenomena
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CIMCA
2005
IEEE
16 years 11 days ago
Mining for Useful Association Rules Using the ATMS
Association rule mining has made many achievements in the area of knowledge discovery in databases. Recent years, the quality of the extracted association rules has drawn more and...
Yue Xu, Yuefeng Li
COMPSAC
2004
IEEE
15 years 10 months ago
Mining Complex Relationships in the SDSS SkyServer Spatial Database
In this paper we describe the process of mining complex relationships in spatial databases using the Maximal Participation Index (maxPI), which has a property of discovering low s...
Bavani Arunasalam, Sanjay Chawla, Pei Sun, Robert ...
KDD
2002
ACM
175views Data Mining» more  KDD 2002»
16 years 7 months ago
Mining product reputations on the Web
Knowing the reputations of your own and/or competitors' products is important for marketing and customer relationship management. It is, however, very costly to collect and a...
Satoshi Morinaga, Kenji Yamanishi, Kenji Tateishi,...
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
16 years 1 months ago
Set-Based Boosting for Instance-Level Transfer
—The success of transfer to improve learning on a target task is highly dependent on the selected source data. Instance-based transfer methods reuse data from the source tasks to...
Eric Eaton, Marie desJardins
154
Voted
ICDM
2003
IEEE
71views Data Mining» more  ICDM 2003»
16 years 1 days ago
Tree-structured Partitioning Based on Splitting Histograms of Distances
We propose a novel clustering algorithm that is similar in spirit to classification trees. The data is recursively split using a criterion that applies a discrete curve evolution...
Longin Jan Latecki, Rajagopal Venugopal, Marc Sobe...