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» Mining Very Large Databases
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113
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AIPS
2009
15 years 4 months ago
Structural-Pattern Databases
abstraction heuristics, notably pattern-database and merge-and-shrink heuristics, are employed by some state-ofthe-art optimal heuristic-search planners. The major limitation of t...
Michael Katz, Carmel Domshlak
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
15 years 7 months ago
Using General Impressions to Analyze Discovered Classification Rules
One of the important problems in data mining is the evaluation of subjective interestingness of the discovered rules. Past research has found that in many real-life applications i...
Bing Liu, Wynne Hsu, Shu Chen
123
Voted
PAKDD
2001
ACM
121views Data Mining» more  PAKDD 2001»
15 years 7 months ago
Direct Domain Knowledge Inclusion in the PA3 Rule Induction Algorithm
Inclusion of domain knowledge in a process of knowledge discovery in databases is a complex but very important part of successful knowledge discovery solutions. In real-life data m...
Pedro de Almeida
FUIN
2007
109views more  FUIN 2007»
15 years 3 months ago
Unifying Framework for Rule Semantics: Application to Gene Expression Data
Abstract. The notion of rules is very popular and appears in different flavors, for example as association rules in data mining or as functional dependencies in databases. Their s...
Marie Agier, Jean-Marc Petit, Einoshin Suzuki
142
Voted
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
16 years 3 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo