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CINQ
2004
Springer
180views Database» more  CINQ 2004»
15 years 1 months ago
Interactivity, Scalability and Resource Control for Efficient KDD Support in DBMS
The conflict between resource consumption and query performance in the data mining context often has no satisfactory solution. This not only stands in sharp contrast to the need of...
Matthias Gimbel, Michael Klein, Peter C. Lockemann
KDD
1997
ACM
143views Data Mining» more  KDD 1997»
15 years 2 months ago
Anytime Exploratory Data Analysis for Massive Data Sets
Exploratory data analysis is inherently an iterative, interactive endeavor. In the context of massive data sets, however, many current data analysis algorithms will not scale appr...
Padhraic Smyth, David Wolpert
SDM
2004
SIAM
144views Data Mining» more  SDM 2004»
14 years 11 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
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
15 years 10 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
RSFDGRC
2005
Springer
15 years 3 months ago
Ontological Framework for Approximation
We discuss an ontological framework for approximation, i.e., to approximation of concepts and vague dependencies specified in a given ontology. The presented approach is based on ...
Jaroslaw Stepaniuk, Andrzej Skowron