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» Using Data Mining in MURA Graphic Problems
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IEAAIE
2000
Springer
15 years 7 months ago
Dynamic Data Mining
Business information received from advanced data analysis and data mining is a critical success factor for companies wishing to maximize competitive advantage. The use of tradition...
Vijay V. Raghavan, Aladdin Hafez
VLDB
1995
ACM
181views Database» more  VLDB 1995»
15 years 7 months ago
NeuroRule: A Connectionist Approach to Data Mining
Classification, which involves finding rules that partition a given da.ta set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining cla...
Hongjun Lu, Rudy Setiono, Huan Liu
KDD
2001
ACM
181views Data Mining» more  KDD 2001»
16 years 3 months ago
Co-clustering documents and words using bipartite spectral graph partitioning
Both document clustering and word clustering are well studied problems. Most existing algorithms cluster documents and words separately but not simultaneously. In this paper we pr...
Inderjit S. Dhillon
113
Voted
NLUCS
2004
15 years 4 months ago
A Text Mining Approach to Tracking Elements of Decision Making: a pilot study
Understanding rework, the causes of rework, and the relationship between issues, decisions and the associated actions, is crucial in minimizing the fundamental industrial problems ...
Caroline Chibelushi, Bernadette Sharp, Andy Salter
KDD
2000
ACM
129views Data Mining» more  KDD 2000»
15 years 7 months ago
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
Siddhartha Bhattacharyya