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» Discovering Predictive Association Rules
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ML
2008
ACM
13 years 7 months ago
Layered critical values: a powerful direct-adjustment approach to discovering significant patterns
Standard pattern discovery techniques, such as association rules, suffer an extreme risk of finding very large numbers of spurious patterns for many knowledge discovery tasks. The...
Geoffrey I. Webb
KDD
1995
ACM
85views Data Mining» more  KDD 1995»
13 years 11 months ago
Estimating the Robustness of Discovered Knowledge
This paper introduces a new measurement, robustness, to measure the quality of machine-discovered knowledge from real-world databases that change over time. A piece of knowledge i...
Chun-Nan Hsu, Craig A. Knoblock
JMLR
2010
102views more  JMLR 2010»
13 years 2 months ago
Discover Local Causal Network around a Target to a Given Depth
For a given target node T and a given depth k 1, we propose an algorithm for discovering a local causal network around the target T to depth k. In our algorithm, we find parents,...
You Zhou, Changzhang Wang, Jianxin Yin, Zhi Geng
MIE
2008
112views Healthcare» more  MIE 2008»
13 years 9 months ago
Mining Knowledge from Corpora: an Application to Retrieval and Indexing
The present work aims at discovering new associations between medical concepts to be exploited as input in retrieval and indexing. Material and Methods: Association rules method is...
Lina Fatima Soualmia, Badisse Dahamna, Stéf...
DAWAK
2001
Springer
14 years 4 days ago
A Theoretical Framework for Association Mining Based on the Boolean Retrieval Model
Data mining has been defined as the non- trivial extraction of implicit, previously unknown and potentially useful information from data. Association mining is one of the important...
Peter Bollmann-Sdorra, Aladdin Hafez, Vijay V. Rag...