Sciweavers

917 search results - page 25 / 184
» Mining interesting sets and rules in relational databases
Sort
View
KDD
1997
ACM
221views Data Mining» more  KDD 1997»
15 years 1 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
79
Voted
ICSE
2009
IEEE-ACM
15 years 4 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
15 years 3 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»
15 years 2 months 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»
15 years 4 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...