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KDD
1997
ACM
104views Data Mining» more  KDD 1997»
15 years 11 months ago
Proposal and Empirical Comparison of a Parallelizable Distance-Based Discretization Method
Many classification algorithms are designed to work with datasets that contain only discrete attributes. Discretization is the process of converting the continuous attributes of ...
Jesús Cerquides, Ramon López de M&aa...
KDD
1997
ACM
72views Data Mining» more  KDD 1997»
15 years 11 months ago
Detecting Atmospheric Regimes Using Cross-Validated Clustering
Low-frequency variability in geopotential height records of the Northern Hemisphere is a topic of significance in atmospheric science, having profound implications for climate mod...
Padhraic Smyth, Michael Ghil, Kayo Ide, Joseph Rod...
KDD
1994
ACM
98views Data Mining» more  KDD 1994»
15 years 11 months ago
Rule Induction for Semantic Query Optimization
Semantic query optimization can dramatically speed up database query answering by knowledge intensive reformulation. But the problem of how to learn required semantic rules has no...
Chun-Nan Hsu, Craig A. Knoblock
KDD
1994
ACM
97views Data Mining» more  KDD 1994»
15 years 11 months ago
From Facts to Rules to Decisions: An Overview of the FRD-1 System
Oneof the central goals of knowledgediscovery in databases is to produceknowledgeuseful for decision making. However,the form in which knowledgecan be easily discovered is often d...
Ibrahim F. Imam, Ryszard S. Michalski
AUSDM
2007
Springer
94views Data Mining» more  AUSDM 2007»
15 years 11 months ago
Classification for accuracy and insight: A weighted sum approach
This research presents a classifier that aims to provide insight into a dataset in addition to achieving classification accuracies comparable to other algorithms. The classifier c...
Anthony Quinn, Andrew Stranieri, John Yearwood