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» Incompleteness in Data Mining
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SEAL
2010
Springer
13 years 8 months ago
Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms
During engineering design, it is often difficult to quantify product reliability because of insufficient data or information for modeling the uncertainties. In such cases, one need...
Rupesh Kumar Srivastava, Kalyanmoy Deb
ICC
2007
IEEE
146views Communications» more  ICC 2007»
14 years 4 months ago
Correlation Based Rate Adaptation via Insights from Incomplete Observations in 802.11 Networks
—Rate adaptation, as a challenging issue for wireless purpose. Relatively little attention has been paid on identifying network design, has been an active research topic for year...
Xia Zhou, Jun Zhao, Guang-Hua Yang
ICDM
2002
IEEE
132views Data Mining» more  ICDM 2002»
14 years 3 months ago
Speed-up Iterative Frequent Itemset Mining with Constraint Changes
Mining of frequent itemsets is a fundamental data mining task. Past research has proposed many efficient algorithms for the purpose. Recent work also highlighted the importance of...
Gao Cong, Bing Liu
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
14 years 10 months ago
An inductive database prototype based on virtual mining views
We present a prototype of an inductive database. Our system enables the user to query not only the data stored in the database but also generalizations (e.g. rules or trees) over ...
Élisa Fromont, Adriana Prado, Bart Goethals...
CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 10 months ago
Logical settings for concept learning from incomplete examples in First Order Logic
We investigate here concept learning from incomplete examples. Our first purpose is to discuss to what extent logical learning settings have to be modified in order to cope with da...
Dominique Bouthinon, Henry Soldano, Véroniq...