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» Association Mining in Large Databases: A Re-examination of I...
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KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 8 months ago
Correlation search in graph databases
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, the research of correlation ...
Yiping Ke, James Cheng, Wilfred Ng
BMCBI
2007
167views more  BMCBI 2007»
13 years 8 months ago
Applying negative rule mining to improve genome annotation
Background: Unsupervised annotation of proteins by software pipelines suffers from very high error rates. Spurious functional assignments are usually caused by unwarranted homolog...
Irena I. Artamonova, Goar Frishman, Dmitrij Frishm...
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
14 years 8 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
VLDB
2004
ACM
94views Database» more  VLDB 2004»
14 years 1 months ago
Whither Data Mining?
The last decade has witnessed tremendous advances in data mining. We take a retrospective look at these developments, focusing on association rules discovery, and discuss the chal...
Rakesh Agrawal, Ramakrishnan Srikant
AUSDM
2006
Springer
124views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Analyzing Harmonic Monitoring Data Using Data Mining
Harmonic monitoring has become an important tool for harmonic management in distribution systems. A comprehensive harmonic monitoring program has been designed and implemented on ...
Ali Asheibi, David Stirling, Danny Soetanto