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JASIS
2000
143views more  JASIS 2000»
13 years 8 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
KDID
2004
140views Database» more  KDID 2004»
13 years 10 months ago
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data
We are designing new data mining techniques on boolean contexts to identify a priori interesting bi-sets (i.e., sets of objects or transactions associated to sets of attributes or ...
Jérémy Besson, Céline Robarde...
ICDM
2010
IEEE
125views Data Mining» more  ICDM 2010»
13 years 6 months ago
Evolving Ensemble-Clustering to a Feedback-Driven Process
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
Martin Hahmann, Dirk Habich, Wolfgang Lehner
SEMWEB
2005
Springer
14 years 2 months ago
Rapid Benchmarking for Semantic Web Knowledge Base Systems
Abstract. We present a method for rapid development of benchmarks for Semantic Web knowledge base systems. At the core, we have a synthetic data generation approach for OWL that is...
Sui-Yu Wang, Yuanbo Guo, Abir Qasem, Jeff Heflin
CORR
2010
Springer
194views Education» more  CORR 2010»
13 years 5 months ago
An Effective Method of Image Retrieval using Image Mining Techniques
The present research scholars are having keen interest in doing their research activities in the area of Data mining all over the world. Especially, [13]Mining Image data is the o...
A. Kannan, V. Mohan, N. Anbazhagan