Mining classification rules for gene expression data using enhanced quickreduct fuzzy-rough feature selection and ant colony optimisation

Author： Chandran Chinnanambalam Ponniah  

Publisher： Inderscience Publishers

ISSN： 1757-2703

Source： International Journal of Granular Computing, Rough Sets and Intelligent Systems, Vol.2, Iss.3, 2012-05, pp. : 179-195

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Gene Expression Analysis based on Ant Colony Optimisation Classification

By  

International Journal of Rough Sets and Data Analysis (IJRSDA), Vol. 3, Iss. 3, 2016-07 ,pp. : 51-59

IGI Global_journal

Access to resources Recommend Favorite

Gene order computation using Alzheimer's DNA microarray gene expression data and the ant colony optimisation algorithm

By Pang Chaoyang   Jiang Gang   Wang Shipeng   Hu Benqiong   Liu Qingzhong   Deng Youping   Huang Xudong  

International Journal of Data Mining and Bioinformatics, Vol. 6, Iss. 6, 2012-11 ,pp. : 617-632

Inderscience Publishers

Access to resources Recommend Favorite

An empirical evaluation of a three‐tier conduit framework for multifaceted test case classification and selection using fuzzy‐ant colony optimisation approach

By  

SOFTWARE:PRACTICE AND EXPERIENCE, Vol. 45, Iss. 7, 2015-07 ,pp. : 949-971

John Wiley & Sons Inc

Access to resources Recommend Favorite

Improved feature selection algorithm with fuzzy-rough sets on compact computational domain

By Bhatt Rajen B.   Gopal M.  

International Journal of General Systems, Vol. 34, Iss. 4, 2005-08 ,pp. : 485-505

Taylor & Francis Ltd

Access to resources Recommend Favorite

Elicitation of classification rules by fuzzy data mining

By Hu Y.-C.   Tzeng G.-H.  

Engineering Applications of Artificial Intelligence, Vol. 16, Iss. 7, 2003-10 ,pp. : 709-716

Elsevier

Access to resources Recommend Favorite