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CSDA
2008
126views more  CSDA 2008»
15 years 6 months ago
A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data
Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
Christelle Reynès, Robert Sabatier, Nicolas...
TEC
2008
146views more  TEC 2008»
15 years 6 months ago
An Evolutionary Algorithm Approach to Optimal Ensemble Classifiers for DNA Microarray Data Analysis
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
Kyung-Joong Kim, Sung-Bae Cho
PVLDB
2008
232views more  PVLDB 2008»
15 years 5 months ago
FINCH: evaluating reverse k-Nearest-Neighbor queries on location data
A Reverse k-Nearest-Neighbor (RkNN) query finds the objects that take the query object as one of their k nearest neighbors. In this paper we propose new solutions for evaluating R...
Wei Wu, Fei Yang, Chee Yong Chan, Kian-Lee Tan
AND
2009
15 years 4 months ago
Kernel-based relation extraction from investigative data
In a specific process of business intelligence, i.e. investigation on organized crime, empirical language processing technologies can play a crucial role. In the data used on inve...
Cristina Giannone, Roberto Basili, Chiara Del Vesc...
ADC
2010
Springer
214views Database» more  ADC 2010»
15 years 1 months ago
Building a dynamic classifier for large text data collections
Due to the lack of in-built tools to navigate the web, people have to use external solutions to find information. The most popular of these are search engines and web directories....
Pavel Kalinov, Bela Stantic, Abdul Sattar