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» Privacy and Data Mining: New Developments and Challenges
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GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
15 years 3 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer
ICDM
2002
IEEE
163views Data Mining» more  ICDM 2002»
15 years 2 months ago
High Performance Data Mining Using the Nearest Neighbor Join
The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such that the r...
Christian Böhm, Florian Krebs
TKDE
2002
168views more  TKDE 2002»
14 years 9 months ago
CLARANS: A Method for Clustering Objects for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. To this end, this paper has three main contrib...
Raymond T. Ng, Jiawei Han
DASFAA
2009
IEEE
252views Database» more  DASFAA 2009»
15 years 4 months ago
Optimal Privacy-Aware Path in Hippocratic Databases
Abstract. Privacy becomes a major concern for both customers and enterprises in today’s corporate marketing strategies, many research efforts have been put into developing new p...
Min Li, Xiaoxun Sun, Hua Wang, Yanchun Zhang
IDEAL
2009
Springer
14 years 7 months ago
Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool
This work is related to the KEEL1 (Knowledge Extraction based on Evolutionary Learning) tool, a non-commercial software that supports data management, design of experiments and an ...
Alberto Fernández, Julián Luengo, Jo...