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» Discovering Predictive Association Rules
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WWW
2007
ACM
14 years 8 months ago
Mirror site maintenance based on evolution associations of web directories
Mirroring Web sites is a well-known technique commonly used in the Web community. A mirror site should be updated frequently to ensure that it reflects the content of the original...
Ling Chen 0002, Sourav S. Bhowmick, Wolfgang Nejdl
SIGMOD
2005
ACM
161views Database» more  SIGMOD 2005»
14 years 7 months ago
Mining Top-k Covering Rule Groups for Gene Expression Data
In this paper, we propose a novel algorithm to discover the topk covering rule groups for each row of gene expression profiles. Several experiments on real bioinformatics datasets...
Gao Cong, Kian-Lee Tan, Anthony K. H. Tung, Xin Xu
EDBT
2000
ACM
13 years 12 months ago
Quality Assessment and Uncertainty Handling in Data Mining Process
The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
Maria Halkidi
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
14 years 8 months ago
Empirical Bayesian data mining for discovering patterns in post-marketing drug safety
Because of practical limits in characterizing the safety profiles of therapeutic products prior to marketing, manufacturers and regulatory agencies perform post-marketing surveill...
David M. Fram, June S. Almenoff, William DuMouchel
ISNN
2007
Springer
14 years 1 months ago
A Hierarchical Self-organizing Associative Memory for Machine Learning
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
Janusz A. Starzyk, Haibo He, Yue Li