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PKDD
2005
Springer
89views Data Mining» more  PKDD 2005»
15 years 9 months ago
Numbers in Multi-relational Data Mining
Numeric data has traditionally received little attention in the field of Multi-Relational Data Mining (MRDM). It is often assumed that numeric data can simply be turned into symbol...
Arno J. Knobbe, Eric K. Y. Ho
HM
2005
Springer
98views Optimization» more  HM 2005»
15 years 10 months ago
A Hybrid GRASP with Data Mining for the Maximum Diversity Problem
Abstract. The maximum diversity problem (MDP) consists in identifying, in a population, a subset of elements, characterized by a set of attributes, that present the most diverse ch...
L. F. Santos, Marcos Henrique Ribeiro, Alexandre P...
WEBI
2004
Springer
15 years 9 months ago
Mining Local Data Sources For Learning Global Cluster Models
— Distributed data mining has recently caught a lot of attention as there are many cases where pooling distributed data for mining is probibited, due to either huge data volume o...
Chak-Man Lam, Xiaofeng Zhang, William Kwok-Wai Che...
SDM
2007
SIAM
140views Data Mining» more  SDM 2007»
15 years 5 months ago
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu
ADMA
2008
Springer
114views Data Mining» more  ADMA 2008»
15 years 10 months ago
Using Data Mining Methods to Predict Personally Identifiable Information in Emails
Private information management and compliance are important issues nowadays for most of organizations. As a major communication tool for organizations, email is one of the many pot...
Liqiang Geng, Larry Korba, Xin Wang, Yunli Wang, H...