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» 1.6-Bit Pattern Databases
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99
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AEI
2007
91views more  AEI 2007»
15 years 2 months ago
MICF: An effective sanitization algorithm for hiding sensitive patterns on data mining
Data mining mechanisms have widely been applied in various businesses and manufacturing companies across many industry sectors. Sharing data or sharing mined rules has become a tr...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
149
Voted
APBC
2006
181views Bioinformatics» more  APBC 2006»
15 years 3 months ago
Analyzing Inconsistency Toward Enhancing Integration of Biological Molecular Databases
: The rapid growth of biological databases not only provides biologists with abundant data but also presents a big challenge in relation to the analysis of data. Many data analysis...
Yi-Ping Phoebe Chen, Qingfeng Chen
119
Voted
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
16 years 2 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
91
Voted
KDD
2005
ACM
89views Data Mining» more  KDD 2005»
16 years 2 months ago
Mining risk patterns in medical data
In this paper, we discuss a problem of finding risk patterns in medical data. We define risk patterns by a statistical metric, relative risk, which has been widely used in epidemi...
Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen...
128
Voted
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 2 months ago
Ordering patterns by combining opinions from multiple sources
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
Pang-Ning Tan, Rong Jin