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» Feature Selection from Huge Feature Sets
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FIW
2003
106views Communications» more  FIW 2003»
15 years 8 months ago
Context and Intent in Call Processing
A new feature set suited for IP telephony is described. The user value of this feature set is discussed in terms of social science results. This feature set supports natural human ...
Tom Gray, Ramiro Liscano, Barry Wellman, Anabel Qu...
APBC
2003
128views Bioinformatics» more  APBC 2003»
15 years 8 months ago
Machine Learning in DNA Microarray Analysis for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
Sung-Bae Cho, Hong-Hee Won
145
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ICAISC
2004
Springer
16 years 9 hour ago
Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery
This paper presents a novel approach to financial time series analysis and prediction. It is mainly devoted to the problem of forecasting university facility and administrative co...
Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M....
CINQ
2004
Springer
151views Database» more  CINQ 2004»
15 years 10 months ago
Query Languages Supporting Descriptive Rule Mining: A Comparative Study
Recently, inductive databases (IDBs) have been proposed to tackle the problem of knowledge discovery from huge databases. With an IDB, the user/analyst performs a set of very diffe...
Marco Botta, Jean-François Boulicaut, Cyril...
SIGKDD
2010
154views more  SIGKDD 2010»
15 years 1 months ago
A brief survey on sequence classification
Sequence classification has a broad range of applications such as genomic analysis, information retrieval, health informatics, finance, and abnormal detection. Different from the ...
Zhengzheng Xing, Jian Pei, Eamonn J. Keogh