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» Numbers in Multi-relational Data Mining
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109
Voted
KDD
1998
ACM
102views Data Mining» more  KDD 1998»
15 years 9 months ago
Joins that Generalize: Text Classification Using WHIRL
WHIRL is an extensionof relational databasesthat canperform "soft joins" basedon the similarity of textual identifiers;thesesoftjoins extendthe traditional operationof j...
William W. Cohen, Haym Hirsh
146
Voted
KDD
1994
ACM
98views Data Mining» more  KDD 1994»
15 years 9 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
146
Voted
CINQ
2004
Springer
133views Database» more  CINQ 2004»
15 years 8 months ago
Inductive Querying for Discovering Subgroups and Clusters
We introduce the problem of cluster-grouping and show that it integrates several important data mining tasks, i.e. subgroup discovery, mining correlated patterns and aspects from c...
Albrecht Zimmermann, Luc De Raedt
AUSDM
2006
Springer
139views Data Mining» more  AUSDM 2006»
15 years 8 months ago
Integrated Scoring For Spelling Error Correction, Abbreviation Expansion and Case Restoration in Dirty Text
An increasing number of language and speech applications are gearing towards the use of texts from online sources as input. Despite such rise, not much work can be found in the as...
Wilson Wong, Wei Liu, Mohammed Bennamoun
KDD
1995
ACM
109views Data Mining» more  KDD 1995»
15 years 8 months ago
An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian Classifiers
The Bayesianclassifier is a simple approachto classification that producesresults that are easy for people to interpret. In many cases, the Bayesianclassifieris at leastasaccurate...
Michael J. Pazzani