The week's pick
Reseach Article
A Rough Set Approach towards Analysis of Cosmetic Data
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 83 - Number 4 |
| Year of Publication: 2013 |
| Authors: P. M. Prasuna, Y. Ramadevi, A. Vinaya Babu |
10.5120/14436-2585
|
P. M. Prasuna, Y. Ramadevi, A. Vinaya Babu . A Rough Set Approach towards Analysis of Cosmetic Data. International Journal of Computer Applications. 83, 4 ( December 2013), 16-20. DOI=10.5120/14436-2585
Abstract
The Global cosmetic industry borders are expanding everyday with new product launches and new packaging for old products. To cater the needs of the diverse customers, the industry has to deal with enormous features of skin, extracted from the face images of the customers, out of which few are required to identify the skin problems and necessary product rejuvenation. This paper proposes data mining techniques to meet these challenges in the cosmetic industry. The proposed approach is based on rough set theory, for discretizing the skin data which is of continuous valued in nature, feature selection using quick reducts and categorization of skin problems using rough clustering technique.
References
- D Sotiris Kotsiantis, Dimitris Kanellopoulos "Discretization Techniques: A recent survey" GESTS International Transactions on Computer Science and Engineering, Vol. 32 (1), 2006, pp. 47-58
- Zdzis?aw Pawlak "Rough set theory for intelligent industrial applications " Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Poland
- Jan Komorowski, Lech Polkowski,Andrzej Skowron "Rough Sets: A Tutorial" Fundamenta Informaticae
- Zdzis?aw Pawlak "Rough set theory and its applications", Journal of Telecommunication and information Technology, 03/2002.
- Daniela Joi?a "Unsupervised static discretization methods in data mining" Titu Maiorescu University, Bucharest, Romania
- Girish Kumar Singh, Sonajharia Minz "Discretization Using Clustering and Rough Set Theory" Proceedings of the International Conference on Computing: Theory and Applications (ICCTA'07)
- Guan Xin, Yi Xiao, "Discretization of continuous interval-valued attributes in rough set theory and its application " Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, Hong Kong, 19-22 August 2007
- Chengdong Wua, Mengxin Lia, Zhonghua Hana, Ying Zhanga Yong Yueb "Discretization Algorithms of Rough SetsUsing Clustering "Proceedings of the 2004 IEEE International Conference on Robotics and Biomimetics August 22 - 26, 2004, Shenyang, China
- Darshit Parmar, Teresa Wu , Jennifer Blackhurst "MMR: An algorithm for clustering categorical data using Rough Set Theory" Elsevier
- Andrzej Skowron1 and James F. Peters "Rough Sets: Trends and Challenges Extended Abstract Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing" Lecture Notes in Computer Science Volume 2639, 2003, pp 25-342 XXI (2001) 1001–1025 1001 IOS Press
- Shampa Sengupta1 and Asit Kumar Das " Dimension Reduction Using Clustering Algorithm and Rough Set Theory" B. K. Panigrahi et al. (Eds. ): SEMCCO 2012, LNCS 7677, pp. 705–712, 2012. © Springer-Verlag Berlin Heidelberg 2012
- E. Mohebi, M. N. N. Sap " Rough set Based Clustering of the Self Organizing Map" 2009 First Asian Conference on Intelligent Information and Database Systems
- Approximate Distributed K-Means Clustering over a Peer-to-Peer Network IEEE transactions on knowledge and data engineering, vol. 21, no. 10, october 2009
- Tutut Herawan "Rough Clustering For Cancer Datasets" International Conference Mathematical and Computational Biology 2011 International Journal of Modern Physics: Conference Series Vol. 9 (2012) 240–258
- Chengdong Wua, Mengxin Lia, Zhonghua Hana, Ying Zhanga Yong Yueb "Discretization Algorithms of Rough Sets Using Clustering " Proceedings of the 2004 IEEE International Conference on Robotics and Biomimetics August 22 - 26, 2004, Shenyang, China
- Jan G. Bazan1 and Marcin Szczuka2 "The Rough Set Exploration System" Transactions on Rough Sets III, LNCS 3400, pp. 37–56, 2005. Springer-Verlag Berlin Heidelberg 2005
- Zhengyou Zhou, Liusheng Huang, Ye Yun "Privacy Preserving Attribute Reduction Based on Rough Set "Second International Workshop on Knowledge Discovery and Data Mining 978-0-7695-3543-2/09
- Syed Sibte Raza Abidi, Kok Meng Hoe, Alwyn Goh " Analyzing Data Clusters: A Rough Set Approach to Extract Cluster-Defining Symbolic Rules " Fourth International Conference (IDA-01),2001, Cascais Portugal. Springer Verlag: Berlin.
- Roman W. Winiarski " rough sets methods in feature reduction And classification" Int. J. Appl. Math. Comput. Sci. , 2001, Vol. 11, No. 3
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