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» Mining Default Rules from Statistical Data
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WWW
2001
ACM
16 years 6 hour ago
WebLQM : A Web Community Examiner
WebLQM is a system with capabilities to locate, query and mine web communities on the Internet. WebLQM has a special way to define the World Wide Web, its contents and relations. ...
Jesús Ubaldo Quevedo, Shou-Hsuan Stephen Hu...
SIGMOD
1999
ACM
112views Database» more  SIGMOD 1999»
15 years 3 months ago
A New Method for Similarity Indexing of Market Basket Data
In recent years, many data mining methods have been proposed for finding useful and structured information from market basket data. The association rule model was recently propos...
Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
JUCS
2008
187views more  JUCS 2008»
14 years 11 months ago
Semantic Information in Medical Information Systems: Utilization of Text Mining Techniques to Analyze Medical Diagnoses
: Most information in Hospitals is still only available in text format and the amount of this data is immensely increasing. Consequently, text mining is an essential area of medica...
Andreas Holzinger, Regina Geierhofer, Felix Mö...
RSFDGRC
2005
Springer
187views Data Mining» more  RSFDGRC 2005»
15 years 4 months ago
Handling Missing Attribute Values in Preterm Birth Data Sets
The objective of our research was to find the best approach to handle missing attribute values in data sets describing preterm birth provided by the Duke University. Five strategi...
Jerzy W. Grzymala-Busse, Linda K. Goodwin, Witold ...
FASE
2006
Springer
15 years 3 months ago
Argus: Online Statistical Bug Detection
Statistical debugging is a powerful technique for identifying bugs that do not violate programming rules or program invariants. Previously known statistical debugging techniques ar...
Long Fei, Kyungwoo Lee, Fei Li, Samuel P. Midkiff