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HICSS
2003
IEEE
171views Biometrics» more  HICSS 2003»
14 years 24 days ago
Improving the Efficiency of Interactive Sequential Pattern Mining by Incremental Pattern Discovery
The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...
Ming-Yen Lin, Suh-Yin Lee
KDD
1997
ACM
142views Data Mining» more  KDD 1997»
13 years 11 months ago
Knowledge Discovery in Integrated Call Centers: A Framework for Effective Customer-Driven Marketing
As call centersbecomemorepervasive,the customersseek individualized service and greater attention. The call centers are becoming the contact centers - a one-stop, singleinterfacef...
Paul Xia
AUSDM
2008
Springer
227views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Exploratory Mining over Organisational Communications Data
Exploratory data mining is fundamental to fostering an appreciation of complex datasets. For large and continuously growing datasets, such as obtained by regular sampling of an or...
Alan Allwright, John F. Roddick
KDD
2003
ACM
132views Data Mining» more  KDD 2003»
14 years 8 months ago
PaintingClass: interactive construction, visualization and exploration of decision trees
Decision trees are commonly used for classification. We propose to use decision trees not just for classification but also for the wider purpose of knowledge discovery, because vi...
Soon Tee Teoh, Kwan-Liu Ma
PAKDD
2010
ACM
173views Data Mining» more  PAKDD 2010»
13 years 5 months ago
Distributed Knowledge Discovery with Non Linear Dimensionality Reduction
Data mining tasks results are usually improved by reducing the dimensionality of data. This improvement however is achieved harder in the case that data lay on a non linear manifol...
Panagis Magdalinos, Michalis Vazirgiannis, Dialect...