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» Mining interesting sets and rules in relational databases
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KDD
1997
ACM
221views Data Mining» more  KDD 1997»
13 years 12 months ago
MineSet: An Integrated System for Data Mining
MineSetTM , Silicon Graphics’ interactive system for data mining, integrates three powerful technologies: database access, analytical data mining, and data visualization. It sup...
Clifford Brunk, James Kelly, Ron Kohavi
ICSE
2009
IEEE-ACM
14 years 2 months ago
Mining exception-handling rules as sequence association rules
Programming languages such as Java and C++ provide exception-handling constructs to handle exception conditions. Applications are expected to handle these exception conditions and...
Suresh Thummalapenta, Tao Xie
CIS
2004
Springer
14 years 1 months ago
Mining Medline for New Possible Relations of Concepts
Scientific bibliographies in online databases provide a rich source of information for scientists in support of their research. In this paper, we propose a new method to predict po...
Wei Huang, Yoshiteru Nakamori, Shouyang Wang, Tiej...
PAKDD
2010
ACM
152views Data Mining» more  PAKDD 2010»
14 years 14 days ago
Mining Association Rules in Long Sequences
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
Boris Cule, Bart Goethals
ICDM
2008
IEEE
156views Data Mining» more  ICDM 2008»
14 years 2 months ago
Mining Allocating Patterns in One-Sum Weighted Items
An Association Rule (AR) is a common knowledge model in data mining that describes an implicative cooccurring relationship between two disjoint sets of binary-valued transaction d...
Yanbo J. Wang, Xinwei Zheng, Frans Coenen, Cindy Y...