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A Survey of Knowledge Extraction Classification using Different Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 82 - Number 3 |
| Year of Publication: 2013 |
| Authors: Mona Shrivastava, Piyush Singh, Gaurav Shrivastava |
10.5120/14094-2106
|
Mona Shrivastava, Piyush Singh, Gaurav Shrivastava . A Survey of Knowledge Extraction Classification using Different Techniques. International Journal of Computer Applications. 82, 3 ( November 2013), 6-10. DOI=10.5120/14094-2106
Abstract
Knowledge extraction is the method of extracting some useful information from a set of databases such that the extracted information can be used in a wide variety of applications. Here a brief survey of different techniques of classification for the knowledge extraction is given. Although there are many technique used for the classification but here the knowledge extraction for useful information techniques is presented.
References
- Rogério Ishibashi, Cairo Lúcio Nascimento Júnior "Knowledge Extraction using a Genetic Fuzzy Rule-based System with Increased Interpretability" 2012 SAMI 10th IEEE Jubilee International Symposium on Applied Machine Intelligence and Informatics,January 2012.
- M. J. Gacto, R. Alcalá, F. Herrera "Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures" 2011 Information Sciences 181 , 2011.
- Francisco Herrera "Genetic Fuzzy Systems: Status, Critical Considerations and Future Directions" 2005 International Journal of Computational Intelligence Research, ISSN 0973-1873 Vol. 1, No. 1, pp. 59-67, 2005
- Hanli Wang, Sam Kwong, Yaochu Jin, Se, Wei Wei, and Kim-Fung Man "Agent-Based Evolutionary Approach for Interpretable Rule-Based Knowledge Extraction" 2005 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C: APPLICATIONS AND REVIEWS, VOL. 35, NO. 2, MAY 2005.
- Kunjal Mankad1, Priti Srinivas Sajja2 and Rajendra Akerkar "EVOLVING RULES USING GENETIC FUZZY APPROACH - AN EDUCATIONAL CASE STUDY" 2011 International Journal on Soft Computing( IJSC ), Vol. 2, No. 1, February 2011.
- Shakti Kumar, Parul Narula, Tazeem Ahmed, "Knowledge extraction from numerical data for the Mamdani type fuzzy systems: a BBO approach," in proceedings of the international conference on Innovative Practices in Management and Information Technology for Excellence, Jagadhri, India, May 2010.
- N. Alavi "Date grading using rule-based fuzzy inference system" 2012 Journal of Agricultural Technology, Vol. 8, pp:1243-1254, ISSN 1686-9141.
- JUN LIU, JIAN-BO YANG, JIN WANGb, HOW-SING SIIb, and YING-MING WANG "FUZZY RULE-BASED EVIDENTIAL REASONING APPROACH FOR SAFETY ANALYSIS" 2004 International Journal of General Systems, Vol. 33, pp. 183–204, June 2004.
- Jos´e M. Alonso, Manuel Oca˜na, Miguel A. Sotelo, Luis M. Bergasa, and Luis Magdalena "WiFi Localization System Using Fuzzy Rule-Based Classification" 2009 Book Computer Aided Systems Theory - EUROCAST, pp. 383-390, 2009.
- Jos´e M. Alonso, Luis Magdalena, Serge Guillaume "Designing Highly Interpretable Fuzzy Rule-Based Systems with Integration of Expert and Induced Knowledge" 2008 In proceeding of 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Volume: 682-689, 2008.
- Teresa Garcia-Valverde, Alberto Garcia-Sola, Antonio Gomez-Skarmeta and Juan A. Botia, Hani Hagras, James Dooley and Victor Callaghan " An Adaptive Learning Fuzzy Logic System for Indoor Localisation using Wi-Fi in Ambient Intelligent Environments" 2012 IEEE World Congress on Computational Intelligence (WCCI 2012) June, 2012.
- Jingjing Cao and Sam Kwong proposed "Combining Interpretable Fuzzy Rule-Based Classifiers via Multi-Objective Hierarchical Evolutionary Algorithm" 2011 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1771 – 1776, 2011.
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