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» Constraint-Based Pattern Set Mining
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94
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KDD
2004
ACM
170views Data Mining» more  KDD 2004»
16 years 25 days ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
116
Voted
SDM
2004
SIAM
144views Data Mining» more  SDM 2004»
15 years 1 months ago
RBA: An Integrated Framework for Regression based on Association Rules
This paper explores a novel framework for building regression models using association rules. The model consists of an ordered set of IF-THEN rules, where the rule consequent is t...
Aysel Ozgur, Pang-Ning Tan, Vipin Kumar
GECCO
2007
Springer
197views Optimization» more  GECCO 2007»
15 years 6 months ago
Computational intelligence techniques: a study of scleroderma skin disease
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining ...
Julio J. Valdés, Alan J. Barton
ICDM
2009
IEEE
145views Data Mining» more  ICDM 2009»
14 years 10 months ago
Significance of Episodes Based on Minimal Windows
Discovering episodes, frequent sets of events from a sequence has been an active field in pattern mining. Traditionally, a level-wise approach is used to discover all frequent epis...
Nikolaj Tatti
DMIN
2006
120views Data Mining» more  DMIN 2006»
15 years 1 months ago
Time Series as a Point - A Novel Approach for Time Series Cluster Visualization
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...
R. Pradeep Kumar, P. Nagabhushan