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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»
14 years 8 months 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
WWW
2006
ACM
14 years 8 months 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»
13 years 9 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»
13 years 7 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
14 years 4 hour 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