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» Combining Two Data Mining Methods for System Identification
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KDD
2002
ACM
138views Data Mining» more  KDD 2002»
16 years 4 days ago
Learning to match and cluster large high-dimensional data sets for data integration
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
William W. Cohen, Jacob Richman
104
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WWW
2006
ACM
16 years 12 days ago
Mining search engine query logs for query recommendation
This paper presents a simple and intuitive method for mining search engine query logs to get fast query recommendations on a large scale industrial-strength search engine. In orde...
Zhiyong Zhang, Olfa Nasraoui
BIOID
2008
183views Biometrics» more  BIOID 2008»
15 years 1 months ago
POLYBIO: Multimodal Biometric Data Acquisition Platform and Security System
Biometrics is the automated method of recognizing a person based on a physiological or behavioural characteristic. Biometric technologies are becoming the foundation of an extensiv...
Anastasis Kounoudes, Nicolas Tsapatsoulis, Zenonas...
BMCBI
2007
149views more  BMCBI 2007»
14 years 12 months ago
Novel and simple transformation algorithm for combining microarray data sets
Background: With microarray technology, variability in experimental environments such as RNA sources, microarray production, or the use of different platforms, can cause bias. Suc...
Ki-Yeol Kim, Dong Hyuk Ki, Ha Jin Jeong, Hei-Cheul...
LSSC
2001
Springer
15 years 4 months ago
On the Parallelization of the Sparse Grid Approach for Data Mining
Abstract. Recently we presented a new approach [5, 6] to the classification problem arising in data mining. It is based on the regularization network approach, but in contrast to ...
Jochen Garcke, Michael Griebel