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KDD
2003
ACM
180views Data Mining» more  KDD 2003»
16 years 6 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
KDD
2002
ACM
183views Data Mining» more  KDD 2002»
16 years 6 months ago
E-CAST: A Data Mining Algorithm for Gene Expression Data
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 6 months ago
Exploiting response models: optimizing cross-sell and up-sell opportunities in banking
The banking industry regularly mounts campaigns to improve customer value by offering new products to existing customers. In recent years this approach has gained significant mome...
Andrew Storey, Marc-David Cohen
KDD
2001
ACM
231views Data Mining» more  KDD 2001»
16 years 6 months ago
A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking
Web Usage Mining (WUM), a natural application of data mining techniques to the data collected from user interactions with the web, has greatly concerned both academia and industry ...
Cyrus Shahabi, Farnoush Banaei Kashani
CHI
2006
ACM
16 years 6 months ago
Interweaving mobile games with everyday life
We introduce a location?based game called Feeding Yoshi that provides an example of seamful design, in which key characteristics of its underlying technologies--the coverage and s...
Marek Bell, Matthew Chalmers, Louise Barkhuus, Mal...
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