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» Mining with Noise Knowledge: Error Aware Data Mining
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KDD
2008
ACM
138views Data Mining» more  KDD 2008»
14 years 8 months ago
Quantitative evaluation of approximate frequent pattern mining algorithms
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
Rohit Gupta, Gang Fang, Blayne Field, Michael Stei...
KDD
2009
ACM
170views Data Mining» more  KDD 2009»
14 years 8 months ago
Genre-based decomposition of email class noise
Corruption of data by class-label noise is an important practical concern impacting many classification problems. Studies of data cleaning techniques often assume a uniform label ...
Aleksander Kolcz, Gordon V. Cormack
EGICE
2006
13 years 11 months ago
Combining Two Data Mining Methods for System Identification
System identification is an abductive task which is affected by several kinds of modeling assumptions and measurement errors. Therefore, instead of optimizing values of parameters ...
Sandro Saitta, Benny Raphael, Ian F. C. Smith
CHI
2004
ACM
14 years 8 months ago
Interactive Comprehensible Data Mining
This paper discusses a novel data mining system devised and developed at Birmingham, which attempts to provide a more effective data mining system. It ties in with the workshop go...
Andy Pryke, Russell Beale
KAIS
2007
112views more  KAIS 2007»
13 years 7 months ago
The pairwise attribute noise detection algorithm
Analyzing the quality of data prior to constructing data mining models is emerging as an important issue. Algorithms for identifying noise in a given data set can provide a good me...
Jason Van Hulse, Taghi M. Khoshgoftaar, Haiying Hu...