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KDD
2000
ACM
82views Data Mining» more  KDD 2000»
13 years 11 months ago
Exploration mining in diabetic patients databases: findings and conclusions
Real-life data mining applications are interesting because they often present a different set of problems for data miners. One such real-life application that we have done is on t...
Wynne Hsu, Mong-Li Lee, Bing Liu, Tok Wang Ling
KDD
2001
ACM
222views Data Mining» more  KDD 2001»
14 years 4 days ago
The PERSEUS Project: Creating Personalized Multimedia News Portal
This paper describes the Perseus project, which is devoted to developing techniques and tools for creating personalized multimedia news portals. The purpose of a personalized mult...
Victor Kulesh, Valery A. Petrushin, Ishwar K. Seth...
IJCAI
2003
13 years 9 months ago
Information Extraction from Tree Documents by Learning Subtree Delimiters
Information extraction from HTML pages has been conventionally treated as plain text documents extended with HTML tags. However, the growing maturity and correct usage of HTML/XHT...
Boris Chidlovskii
KDD
2004
ACM
113views Data Mining» more  KDD 2004»
14 years 8 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
14 years 1 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...