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» A Perspective on Databases and Data Mining
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SIGKDD
2000
139views more  SIGKDD 2000»
13 years 8 months ago
Support Vector Machines: Hype or Hallelujah?
Support Vector Machines (SVMs) and related kernel methods have become increasingly popular tools for data mining tasks such as classification, regression, and novelty detection. T...
Kristin P. Bennett, Colin Campbell
ICDM
2007
IEEE
104views Data Mining» more  ICDM 2007»
14 years 3 months ago
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases
Privacy-preserving data mining (PPDM) techniques aim to construct efficient data mining algorithms while maintaining privacy. Statistical disclosure limitation (SDL) techniques a...
Aleksandra B. Slavkovic, Yuval Nardi, Matthew M. T...
AUSDM
2008
Springer
235views Data Mining» more  AUSDM 2008»
13 years 10 months ago
ShrFP-Tree: An Efficient Tree Structure for Mining Share-Frequent Patterns
Share-frequent pattern mining discovers more useful and realistic knowledge from database compared to the traditional frequent pattern mining by considering the non-binary frequen...
Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer,...
PKDD
2005
Springer
138views Data Mining» more  PKDD 2005»
14 years 2 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
SIGKDD
2000
87views more  SIGKDD 2000»
13 years 8 months ago
Integrating Data Mining into Vertical Solutions
At KDD-99, the panel on Integrating Data Mining into Vertical Solutions addressed a series of questions regarding future trends in industrial applications. Panelists were chosen t...
Ron Kohavi, Mehran Sahami