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AUSDM
2007
Springer
164views Data Mining» more  AUSDM 2007»
14 years 2 months ago
SemGrAM - Integrating Semantic Graphs into Association Rule Mining
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
John F. Roddick, Peter Fule
HICSS
2006
IEEE
138views Biometrics» more  HICSS 2006»
14 years 2 months ago
An Efficient Algorithm for Real-Time Frequent Pattern Mining for Real-Time Business Intelligence Analytics
Finding frequent patterns from databases has been the most time consuming process in data mining tasks, like association rule mining. Frequent pattern mining in real-time is of in...
Rajanish Dass, Ambuj Mahanti
ICDM
2003
IEEE
96views Data Mining» more  ICDM 2003»
14 years 2 months ago
Mining Plans for Customer-Class Transformation
We consider the problem of mining high-utility plans from historical plan databases that can be used to transform customers from one class to other, more desirable classes. Tradit...
Qiang Yang, Hong Cheng
HICSS
1999
IEEE
137views Biometrics» more  HICSS 1999»
14 years 1 months ago
A Methodology for Evaluating and Selecting Data Mining Software
As data mining evolves and matures more and more businesses are incorporating this technology into their business practices. However, currently data mining and decision support so...
Ken W. Collier, Donald Sautter, Curt Marjaniemi, B...
VLDB
1995
ACM
181views Database» more  VLDB 1995»
14 years 7 days ago
NeuroRule: A Connectionist Approach to Data Mining
Classification, which involves finding rules that partition a given da.ta set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining cla...
Hongjun Lu, Rudy Setiono, Huan Liu