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» Algorithms for Categorical Equivalence
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VLDB
1998
ACM
127views Database» more  VLDB 1998»
13 years 11 months ago
Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases
We consider the problem of finding association rules that make nearly optimal binary segmentations of huge categorical databases. The optimality of segmentation is defined by an o...
Yasuhiko Morimoto, Takeshi Fukuda, Hirofumi Matsuz...
CORR
2011
Springer
175views Education» more  CORR 2011»
12 years 11 months ago
Heuristic Algorithm for Interpretation of Non-Atomic Categorical Attributes in Similarity-based Fuzzy Databases - Scalability Ev
- In this work we are analyzing scalability of the heuristic algorithm we used in the past [1-4] to discover knowledge from multi-valued symbolic attributes in fuzzy databases. The...
M. Shahriar Hossain, Rafal A. Angryk
APWEB
2005
Springer
14 years 1 months ago
An Incremental Subspace Learning Algorithm to Categorize Large Scale Text Data
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
Jun Yan, QianSheng Cheng, Qiang Yang, Benyu Zhang
TKDE
2002
141views more  TKDE 2002»
13 years 7 months ago
Algorithms for Finding Attribute Value Group for Binary Segmentation of Categorical Databases
We consider the problem of finding a set of attribute values that give a high quality binary segmentation of a database. The quality of a segmentation is defined by an objective fu...
Yasuhiko Morimoto, Takeshi Fukuda, Takeshi Tokuyam...