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» From Data to Knowledge: an Integrated Rule-Based Data Mining...
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KDD
1995
ACM
148views Data Mining» more  KDD 1995»
13 years 11 months ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo
IEAAIE
2005
Springer
14 years 1 months ago
Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization
Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system ...
Annalisa Appice, Paolo Buono
HICSS
2010
IEEE
235views Biometrics» more  HICSS 2010»
14 years 2 months ago
Knowledge Sourcing from Repositories: The Role of System Characteristics and Autonomy
Organizations invest in the development of knowledge repositories (KR) to foster knowledge reuse and integration. Yet many KR initiatives fail to meet expectations, in part becaus...
Alexandra Durcikova, Kelly J. Fadel
FLAIRS
2004
13 years 9 months ago
Structure Discovery from Sequential Data
In this paper we describe I-Subdue, an extension to the Subdue graph-based data mining system. I-Subdue operates over sequentially received relational data to incrementally discov...
Jeffrey Coble, Diane J. Cook, Lawrence B. Holder, ...
CBMS
2006
IEEE
14 years 1 months ago
Incoporating Data Mining Applications into Clinical Guildelines
Computer based clinical guidelines have been developed to help caregivers in practicing medicine. GLIF3 (Guideline Interchange Format 3) is one of several standards that specify t...
Reza Sherafat Kazemzadeh, Kamran Sartipi