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DOOD
1995
Springer
171views Database» more  DOOD 1995»
15 years 1 months ago
An Overview of Database Mining Techniques
This paper presents an overview of data mining techniques in the context of of the deductiveinductive cycle model. The claim made in this paper is that a combination of both of th...
Bob Kero, Lucian Russell, Shalom Tsur, Wei-Min She...
ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
15 years 2 months ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano
INCDM
2010
Springer
204views Data Mining» more  INCDM 2010»
15 years 27 days ago
Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways
Hospitals increasingly use process models for structuring their care processes. Activities performed to patients are logged to a database but these data are rarely used for managin...
Jonas Poelmans, Guido Dedene, Gerda Verheyden, Her...
KDD
2004
ACM
314views Data Mining» more  KDD 2004»
15 years 10 months ago
Assessment of discretization techniques for relevant pattern discovery from gene expression data
In the domain of gene expression data analysis, various researchers have recently emphasized the promising application of pattern discovery techniques like association rule mining...
Ruggero G. Pensa, Claire Leschi, Jéré...
PPOPP
2005
ACM
15 years 3 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...