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ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
15 years 10 months ago
PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets
PixelMaps are a new pixel-oriented visual data mining technique for large spatial datasets. They combine kerneldensity-based clustering with pixel-oriented displays to emphasize c...
Daniel A. Keim, Christian Panse, Mike Sips, Stephe...
AUSDM
2008
Springer
227views Data Mining» more  AUSDM 2008»
15 years 7 months ago
Exploratory Mining over Organisational Communications Data
Exploratory data mining is fundamental to fostering an appreciation of complex datasets. For large and continuously growing datasets, such as obtained by regular sampling of an or...
Alan Allwright, John F. Roddick
PAKDD
2007
ACM
148views Data Mining» more  PAKDD 2007»
15 years 11 months ago
Mining Frequent Itemsets from Uncertain Data
Abstract. We study the problem of mining frequent itemsets from uncertain data under a probabilistic framework. We consider transactions whose items are associated with existential...
Chun Kit Chui, Ben Kao, Edward Hung
158
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SOCIALCOM
2010
14 years 11 months ago
Incentive Compatible Distributed Data Mining
Abstract--In this paper, we propose a game-theoretic mechanism to encourage truthful data sharing for distributed data mining. Our proposed mechanism uses the classic VickreyClarke...
Murat Kantarcioglu, Robert Nix
KDD
2002
ACM
214views Data Mining» more  KDD 2002»
16 years 5 months ago
Privacy preserving association rule mining in vertically partitioned data
Privacy considerations often constrain data mining projects. This paper addresses the problem of association rule mining where transactions are distributed across sources. Each si...
Jaideep Vaidya, Chris Clifton