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ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
15 years 8 months ago
Cross-Mining Binary and Numerical Attributes
We consider the problem of relating itemsets mined on binary attributes of a data set to numerical attributes of the same data. An example is biogeographical data, where the numer...
Gemma C. Garriga, Hannes Heikinheimo, Jouni K. Sep...
PKDD
2007
Springer
130views Data Mining» more  PKDD 2007»
15 years 7 months ago
Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach
Abstract. Spatial Data Mining (SDM) has great potential in supporting public policy and in underpinning society functioning. One task in SDM is the discovery of characterization an...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
107
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ISBRA
2007
Springer
15 years 7 months ago
Clustering Algorithms Optimizer: A Framework for Large Datasets
Clustering algorithms are employed in many bioinformatics tasks, including categorization of protein sequences and analysis of gene-expression data. Although these algorithms are r...
Roy Varshavsky, David Horn, Michal Linial
CLUSTER
2007
IEEE
15 years 8 months ago
Sequential and parallel implementation of a constraint-based algorithm for searching protein structures
— Data mining in biological structure libraries can be a powerful tool to better understand biochemical processes. This article introduces the LISA algorithm which enables the re...
Sascha Hunold, Thomas Rauber, Georg Wille
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
15 years 7 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...