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» Mining interesting sets and rules in relational databases
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KDD
2007
ACM
179views Data Mining» more  KDD 2007»
14 years 3 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
BMCBI
2004
110views more  BMCBI 2004»
13 years 8 months ago
Tools for loading MEDLINE into a local relational database
Background: Researchers who use MEDLINE for text mining, information extraction, or natural language processing may benefit from having a copy of MEDLINE that they can manage loca...
Diane E. Oliver, Gaurav Bhalotia, Ariel S. Schwart...
KDD
1995
ACM
173views Data Mining» more  KDD 1995»
14 years 16 days ago
Knowledge Discovery in Textual Databases (KDT)
The information age is characterizedby a rapid growth in the amountof information availablein electronicmedia. Traditional data handling methods are not adequate to cope with this...
Ronen Feldman, Ido Dagan
FUIN
2007
109views more  FUIN 2007»
13 years 9 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
ICDE
1998
IEEE
103views Database» more  ICDE 1998»
14 years 10 months ago
Online Generation of Association Rules
We have a large database consisting of sales transactions. We investigate the problem of online mining of association rules in this large database. We show how to preprocess the d...
Charu C. Aggarwal, Philip S. Yu