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» An Overview of Database Mining Techniques
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ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
14 years 1 months ago
Active Sampling for Feature Selection
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
Sriharsha Veeramachaneni, Paolo Avesani
KDD
1997
ACM
122views Data Mining» more  KDD 1997»
14 years 10 days ago
KDD Process Planning
KDD (Knowledge Discovery in Databases) processhas become a new and important research area. Within the framework of KDD process and the GLS (Global Learning Scheme) system recentl...
Ning Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Set...
AUSDM
2006
Springer
102views Data Mining» more  AUSDM 2006»
13 years 12 months ago
Weighted Kernel Model For Text Categorization
Traditional bag-of-words model and recent wordsequence kernel are two well-known techniques in the field of text categorization. Bag-of-words representation neglects the word orde...
Lei Zhang, Debbie Zhang, Simeon J. Simoff, John K....
KCAP
2003
ACM
14 years 1 months ago
LitLinker: capturing connections across the biomedical literature
The explosive growth in the biomedical literature has made it difficult for researchers to keep up with advancements, even in their own narrow specializations. In addition, this c...
Wanda Pratt, Meliha Yetisgen-Yildiz
GIS
2006
ACM
14 years 9 months ago
ST-ACTS: a spatio-temporal activity simulator
Creating complex spatio?temporal simulation models is a hot issue in the area of spatio?temporal databases [7]. While existing Moving Object Simulators (MOSs) address different ph...
Gyözö Gidófalvi, Torben Bach Pede...