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» A Pattern Mining Approach Using QVT
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KDD
2003
ACM
135views Data Mining» more  KDD 2003»
16 years 2 months ago
Efficiently handling feature redundancy in high-dimensional data
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
Lei Yu, Huan Liu
PKDD
1999
Springer
118views Data Mining» more  PKDD 1999»
15 years 6 months ago
Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions
We describe the problem of mining possibilistic set-valued rules in large relational tables containing categorical attributes taking a finite number of values. An example of such a...
Alexandr A. Savinov
VLDB
2007
ACM
204views Database» more  VLDB 2007»
15 years 8 months ago
Optimization of Frequent Itemset Mining on Multiple-Core Processor
Multi-core processors are proliferated across different domains in recent years. In this paper, we study the performance of frequent pattern mining on a modern multi-core machine....
Eric Li, Li Liu
KDD
2004
ACM
211views Data Mining» more  KDD 2004»
16 years 2 months ago
Towards parameter-free data mining
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...
DAC
2010
ACM
15 years 5 months ago
Scalable specification mining for verification and diagnosis
Effective system verification requires good specifications. The lack of sufficient specifications can lead to misses of critical bugs, design re-spins, and time-to-market slips. I...
Wenchao Li, Alessandro Forin, Sanjit A. Seshia