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» Compressing Pattern Databases
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110
Voted
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
16 years 29 days 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
78
Voted
KDD
2005
ACM
89views Data Mining» more  KDD 2005»
16 years 29 days 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...
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 29 days 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
ICDM
2002
IEEE
148views Data Mining» more  ICDM 2002»
15 years 5 months ago
SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint
Over the years, a variety of algorithms for finding frequent sequential patterns in very large sequential databases have been developed. The key feature in most of these algorith...
Masakazu Seno, George Karypis
110
Voted
AMW
2009
15 years 1 months ago
Temporal Support in Sequential Pattern Mining
In sequential pattern discovery, the support of a sequence is computed as the number of data-sequences satisfying a pattern with respect to the total number of data-sequences in th...
Leticia I. Gómez, Bart Kuijpers, Alejandro ...