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TEC
2008
104views more  TEC 2008»
15 years 6 months ago
Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy
Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction data i...
Tzung-Pei Hong, Chun-Hao Chen, Yeong-Chyi Lee, Yu-...
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
16 years 8 months ago
OptRR: Optimizing Randomized Response Schemes for Privacy-Preserving Data Mining
The randomized response (RR) technique is a promising technique to disguise private categorical data in Privacy-Preserving Data Mining (PPDM). Although a number of RR-based methods...
Zhengli Huang, Wenliang Du
ICDAR
2009
IEEE
16 years 1 months ago
2D CAD Data Mining Based on Spatial Relation
In this research, we propose CAD data mining technique to obtain semantic elements without prior knowledge about plans being designed. Our method consists of two steps. The first ...
Hiroaki Kizu, Junko Yamamoto, Takeshi Takeda, Keij...
HPDC
2008
IEEE
16 years 1 months ago
Issues in applying data mining to grid job failure detection and diagnosis
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
Lakshmikant Shrinivas, Jeffrey F. Naughton
PKDD
2007
Springer
114views Data Mining» more  PKDD 2007»
16 years 23 days ago
Robust Visual Mining of Data with Error Information
Abstract. Recent results on robust density-based clustering have indicated that the uncertainty associated with the actual measurements can be exploited to locate objects that are ...
Jianyong Sun, Ata Kabán, Somak Raychaudhury