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» Mining Default Rules from Statistical Data
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IDA
2008
Springer
14 years 9 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 1 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
WWW
2005
ACM
15 years 10 months ago
XAR-miner: efficient association rules mining for XML data
In this paper, we propose a framework, called XAR-Miner, for mining ARs from XML documents efficiently. In XAR-Miner, raw data in the XML document are first preprocessed to transf...
Sheng Zhang, Ji Zhang, Han Liu, Wei Wang
ICDM
2007
IEEE
206views Data Mining» more  ICDM 2007»
15 years 4 months ago
A Novel Rule Weighting Approach in Classification Association Rule Mining
Classification Association Rule Mining (CARM) is a recent Classification Rule Mining (CRM) approach that builds an Association Rule Mining (ARM) based classifier using Classificat...
Yanbo J. Wang, Qin Xin, Frans Coenen
JUCS
2006
102views more  JUCS 2006»
14 years 9 months ago
Data Mining Methods for Discovering Interesting Exceptions from an Unsupervised Table
Abstract: In this paper, we survey efforts devoted to discovering interesting exceptions from data in data mining. An exception differs from the rest of data and thus is interestin...
Einoshin Suzuki