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ICDM
2007
IEEE
155views Data Mining» more  ICDM 2007»
15 years 10 months ago
Transitional Patterns and Their Significant Milestones
Mining frequent patterns in transaction databases has been studied extensively in data mining research. However, most of the existing frequent pattern mining algorithms do not con...
Qian Wan, Aijun An
AUSDM
2006
Springer
110views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Discovering Debtor Patterns of Centrelink Customers
Data mining is currently becoming an increasingly hot research field, but a large gap still remains between the research of data mining and its application in real-world business....
Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming...
AUSDM
2006
Springer
177views Data Mining» more  AUSDM 2006»
15 years 10 months ago
On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
Tatjana Eitrich, Bruno Lang
AUSDM
2006
Springer
107views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Using a Kernel-Based Approach to Visualize Integrated Chronic Fatigue Syndrome Datasets
We describe the use of a kernel
Ahmad Al-Oqaily, Paul J. Kennedy
DMKD
2004
ACM
121views Data Mining» more  DMKD 2004»
15 years 10 months ago
Discovery of ads web hosts through traffic data analysis
One of the most actual problems on web crawling
V. Bacarella, Fosca Giannotti, Mirco Nanni, Dino P...