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» Discovering Relational Patterns across Multiple Databases
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AAAI
2012
11 years 10 months ago
Towards Discovering What Patterns Trigger What Labels
In many real applications, especially those involving data objects with complicated semantics, it is generally desirable to discover the relation between patterns in the input spa...
Yu-Feng Li, Ju-Hua Hu, Yuang Jiang, Zhi-Hua Zhou
FLAIRS
2000
13 years 9 months ago
Discovering Structural Patterns in Telecommunications Data
With the increasing amount and complexity of data being collected, there is an urgent need to create automated techniques for mining the data. In particular, data being generated ...
Andi Baritchi, Diane J. Cook, Lawrence B. Holder
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
14 years 2 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov
DATAMINE
1998
106views more  DATAMINE 1998»
13 years 7 months ago
Discovering Robust Knowledge from Databases that Change
Many applications of knowledge discovery and data mining such as rule discovery for semantic query optimization, database integration and decision support, require the knowledge t...
Chun-Nan Hsu, Craig A. Knoblock
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