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[1] H. Hannah Inbarani and K. Thangavel. “Effective web personalisation based on rough biclustering." International Journal of Granular Computing, Rough Sets and Intelligent Systems. Volume 3, pp 59-84, 2013. [2] Laurence Aroquiaraj and K. Thangavel, “Mammogram Edge Detection Using Hybrid Soft Computing Methods”, International Journal of Scientific & Engineering Research, Volume 4, Issue 6, June-2013, ISSN 2229-5518. [3] E. Elayaraja, K.Thangavel, P. Ashok, and T.Chandrasekhar, “ Extraction of Motif Pattern from Protein Sequences using K-Means Segment Pruning Methods”, International Journal of Scientific & Engineering Research, Volume 4, Issue 5, May-2013 1745 – 1753, ISSN 2229-5518. [4] E.N.Sathishkumar, K.Thangavel and T.Chandrasekhar, “A Novel Approach for Single Gene Selection Using Clustering and Dimensionality Reduction”, International Journal of Scientific & Engineering Research, Volume 4, Issue 5, May-2013 1540 – 1545, ISSN 2229-5518. [5] R. Subash Chandra Boss, K. Thangavel and D. Arul Pon Daniel, “Automatic Mammogram image Breast Region Extraction and Removal of Pectoral Muscle”, International Journal of Scientific & Engineering Research, Volume 4, Issue 5, 1722-1729 May-2013, ISSN 2229-5518. [6] J.Bagyamani, K.Thangavel and R.Rathipriya, “Comparison of Biological Significance of Biclusters of SIMBIC and SIMBIC+ Biclustering Models”, ACEEE International Journal on Information Technology, Vol. 3, No. 1, March 2013. [7] A. Kaja Mohideen And K. Thangavel “Region-Based Contrast Enhancement Of Digital Mammograms Using An Improved Watershed Segmentation”, International [8] U. S. Ragupathya, A. Tamilarasi and K. Thangavel, “Investigation On Mammographic Image Compression And Microcalcification Analysis Using Multiwavelets And Neural Networks”, Applied Artificial Intelligence: An International Journal, Volume 27, Issue 2, 2013. [9] Thangavel, K.and Velayutham, C, “Mammogram Image Segmentation using Rough Set Theory” ”, IJCII International Journals of Computational intelligence and Informatics, Vol.1, No.4, March 2012. [10] B U Sajeev and K Thangavel “Evaluation of Socio-Economic Patterns of SHG Members in Kerala State Using Clustering Analysis”, International Journal of Computer Science Issues, 9, 386-397, 2012. [11] B U Sajeev and K Thangavel “Impact Analysis of Financial Inclusion Through SHG Bank Linkage Using Clustering Tecniques”, International Journal of Research Review in Computer Science, 3, 1580-1589, 2012. [12] T.Chandrasekhar, K.Thangaveland E.N.Sathishkumar “Verdict Accuracy of Quick Reduct Algorithm using Clustering and Classification Techniques for Gene Expression Data”, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 1, No 1, January 2012 [13] M Chitralegha, and Dr K Thangavel, “A Novel Entropy Based Segment Selection Technique for Extraction of Protein Sequence Motifs”, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 4, No 3, July 2012 [14] T.Chandrasekhar, K.Thangavel and E. Elayaraja, “Performance Analysis of Clustering Algorithms for Gene Expression Data”, International Journal of Scientific & Engineering Research Volume 3, Issue 12, December-2012 [15] E.Elayaraja, K.Thangavel, M.Chitralegha and T.Chandrasekhar “Extraction of Motif Patterns from Protein Sequences Using SVD with Rough K-Means Algorithm”, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 6, No 2, November 2012 [16] T. Chandrasekhar, K. Thangavel and E. N. Sathiskumar “Verdict Accuracy of Quick Reduct Algorithm for Gene Expression Data”, IJCII International Journals of Computational intelligence and Informatics, Vol.1, No.1, October -December 2011. ISSN: 2231- 0258. [17] C Velayutham, and K. Thangavel “Entropy based unsupervised Feature Selection in digital mammogram image using rough set theory”, International Journal of Computational Biology and Drug Design - Vol. 5, No.1 pp. 16 – 34., 2012 [18] Thangavel, K. and Velayutham, C."Rough Set Based Unsupervised Feature Selection in Mammogram Image Classification Using Entropy Measure", International Journal of Medical Imaging and Health Informatics, Volume 2, Number 3,pp. 320-326, September 2012. [19] M Chitralegha and K. Thangavel, "A Novel Entropy Based Segment Selection Technique for Extraction of Protein Sequence Motifs", International Journal of Computer Science Issues, Vol. 9, Issue 4, No 3, July 2012 [20] H. Hannah Inbarani, and K. Thangavel. "Web Usage Mining Approaches for Web Page Recommendation: ASurvey." Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods (2012): 271. [21] H. Hannah Inbarani and K. Thangavel. "Rough Web Intelligent Techniques for Page Recommendation." Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods (2012): 170. [22] K Thangavel, and R Roselin “Fuzzy-Rough Feature Selection With π- Membership Function For Mammogram Classification” IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 4, No 3, July 2012 [23] R Rathipriya, and K Thangavel “A Discrete Artificial Bees Colony Inspired Biclustering Algorithm”, International Journal of Swarm Intelligence Research (IJSIR) 3 (1), 30-42., 2012. [24] T Chandrasekhar, K Thangavel, and E Elayaraja “Effective Clustering Algorithms for Gene Expression Data”, International Journal of Computer Applications (0975 – 8887) Volume 32– No.4, October 2011. [25] T Chandrasekhar, K Thangavel, and E Elayaraja “Performance Analysis of Enhanced Clustering Algorithm for Gene Expression Data”, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 6, No 3, November 2011 [26] R Rathipriya, K Thangavel, and J Bagyamani “Binary Particle Swarm Optimization based Biclustering of Web usage Data”, International Journal of Computer Applications (0975 – 8887) Volume 25– No.2, July 2011 [27] J. Bagyamani, and K Thangavel “Discovering maximal size coherent biclusters from gene expression data”, International Journal of Healthcare Technology and Management 12 (5), 405-421., 2011. [28] R Rathipriya, K Thangavel, and J Bagyamani “Extraction of Target User Group from Web Usage Data Using Evolutionary Biclustering Approach”, International Journal of Applied Metaheuristic Computing (IJAMC) 2 (3), pp. 69-79 2011. [29] J Bagyamani, K Thangavel, and R Rathipriya “Bottom up Biclustering Using One Leave out Correlation”, Global Journal of Computer Science and Technology, Volume 11 Issue 2 Version 1.0, pp. 09-15, February 2011. [30] H Inbarani, and K Thangavel “Discovery of user profiles using fuzzy web intelligent techniques”, International Journal of Web Based Communities - Vol. 7, No.3 pp. 357 - 375., 2011. [31] D Devakumari, K Thangavel, and K Sarojini “Unsupervised bidirectional feature selection based on contribution entropy for medical databases”, International Journal of Healthcare Technology and Management 12 (5), 364-378., 2011. [32] R Rathipriya, K Thangavel, and J Bagyamani “Usage Profile Generation from Web Usage Data Using Hybrid Biclustering Algorithm”, International Journal of Applied Evolutionary Computation (IJAEC) 2 (4), 37-49 2011 [33] R Manavalan and K Thangavel “Evaluation of Textural Feature Extraction Methods For Prostate Cancer TRUS Medical images”, International Journal of Computer Applications 36(12):33-39, December 2011. [34] B U Sajeev and K Thangavel “Impact Assessment of Financial Status of SHG Members: A Clustering Approach”, International Journal of Computer Applications 32 (2), 7-15, 2011. [35] C. Velayutham, and K. Thangavel, “Unsupervised Quick Reduct Algorithm Using Rough Set Theory”, Journal of Electronic Science and Technology (JEST), Vol. 9, No. 3, pp. 193-201, 2011. [36] Roselin. R., Thangavel. K and Velayutham, C., “Fuzzy Rough Feature Selection for Mammogram Classification”, Journal of Electronic Science and Technology, Vol 9, No. 2, pp 124-132, 2011. [37] Velayutham, C., and Thangavel. K, “Improved Rough Set Algorithms for Optimal Attribute Reduct”, Journal of Electronic Science and Technology (JEST)(International), Vol. 9, No. 2, pp 108-117,June 2011. [38] Rathipriya, R., Thangavel, K., and Bagyamani, J., “Evolutionary Biclustering of Clickstream Data”, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 3, No. 1, pp 341-347, May 2011. [39] R Rathipriya, K Thangavel., “A Fuzzy Co-Clustering approach for Clickstream Data Pattern”, Global Journal of Computer Science and Technology Vol. 10 Issue 6 Ver. 1.0 July 2010 [40] Devakumari, D., Thangavel, K., Alagambigai, P., and Sarojini K., “Prediction of Classification Accuracy with selected features in Unsupervised Data”, International Journal of Recent Trends in Engineering and Technology, Vol 3, No: 1, pp 30-36, 2010 (ACEEE Publications, USA, ISSN: 2158-5563). [41] Laurence Aroquiaraj, I., and Thangavel., K., “Impulse Noise Removal from Mammogram Images using Combiner Approach”, Journal of Global Research in Computer Science, Vol. 1, No. 2, pp 22-27, October 2010. [42] Karthikeyani Visalakshi, K., Thangavel, K., and Parvathi, R., “An Intuitionistic Fuzzy Approach to Distributed Fuzzy Clustering”, International Journal of Computer Theory and Engineering, Vol. 2, No. 2 April, 2010. [43] Aranganayagi, S., and Thangavel, K., “Extended K-modes with new weighted measure based on the domains International”, Journal of Data Mining, Modelling and Management. Vol. 2, No.3, pp. 288 – 299, 2010. [44] Aranganayagi, S., and Thangavel, K., “Visual clustering through weight entropy” International Journal of Data Mining, Modelling and Management. Vol. 2, No.3, pp. 196 – 215, 2010. [45] Bagyamani, J. Thangavel, K and Rathipriya, R., “Biological Significance of Gene Expression Data using Similarity based Biclustering Algorithm”, International Journal of Biometrics and Bioinformatics (IJBB), Volume (4): Issue (6), pp 201-216, 2010. [46] Aranganayagi, S., Thangavel, K. “Incremental Algorithm to Cluster the Categorical Data with Frequency Based Similarity Measure”, International Journal of information and mathematics science , pp 21-29, 2010. [47] Aranganayagi.S and Thangavel. K, “Extended K-Modes with Probability Measure”, International Journal of Computer Theory and Engineering, Vol. 2, No. 3, June, 2010, 1793-8201 [48] Sarojini, K., Thangavel, K., Devakumari, D. “Supervised Feature Subset Selection based on Modified Fuzzy Relative Information Measure for Classifier CART”, International Journal of Engineering Science and Technology, Vol. 2(5), 2010, Engg Journals Publications, pp 2456-2465, ISSN: 0975-5462. [49] Thangavel, K., and Pethalakshmi. A, “Dimensionality reduction based on rough set theory:A review”, Applied Soft Computing Volume 9, Issue 1, pp. 1-12, 2009. [50] Aranganayagi.S, Thangavel. K, “Clustering Categorical Data using Bayesian Concept”, International Journal of Computer Theory and Engineering. Vol.1, No.2, pp. 119 – 125, 2009. [51] Thangavel, K., Manavalan, R., and I. Laurence Aroquiaraj, “Removal of Speckle Noise from Ultrasound Medical Image based on Special Filters: Comparative Study”, ICGST International Journal on Graphics, Vision and Image Processing, GVIP, 9, pp. 25-32, 2009 [52] Thangavel . K and Alagambigai,P., “EVISTA- Interactive Visual Clustering System”, International Journal of Recent Trends in Engineering [ISSN: 1797-9617] (Academy Publishers, Finland)Vol. 2, No. 1, pp. 83-87, 2009. [53] Hannah Inbarani, H. and Thangavel, K., “Rough set based User profiling for Web Personalization”, International Journal of Recent Trends in Engineering [ISSN: 1797-9617] (Academy Publishers, Finland)Vol. 2, No. 1, pp. 103-107, 2009. [54] Thangavel . K and Karthikeyani Visalakshi, K., “Ensemble based Distributed K- Harmonic Means Clustering”, International Journal of Recent Trends in Engineering [ISSN: 1797-9617] (Academy Publishers, Finland) Vol. 2, No. 1, pp. 125-129, 2009. [55] Laurence Aroquiaraj, I., and Thangavel, K, “Comparative Analysis of Speckle Filtering Techniques”, International Journal of Recent Trends in Engineering [ISSN: 1797-9617] (Academy Publishers, Finland)Vol. 2, No. 2, pp. 120-127, 2009. [56] Thangavel. K and Kaja Mohideen, A., “Classification of Microcalcifications Using Multi-Dimensional Genetic Association Rule Miner”, International Journal of Recent Trends in Engineering [ISSN: 1797-9617] (Academy Publishers, Finland) Vol. 2, No. 2, pp. 233-237, 2009. [57] Thangavel . K and Roselin, R., “Mammogram Mining with Genetic Optimization of Ant-Miner Parameters”, The International Journal of Recent Trends in Engineering, [ISSN: 1797-9617] Academy Publishers, Finland, Vol.2, No. 3, pp. 67-69, 2009. [58] Karnan, M., and Thangavel, K, “Feature Extraction and Classification of Microcalcifications in Mammograms”, International Journal of Applied Computing, 1, 1, PP.17-32, 2008. [59] Jaganathan, P., Thangavel, K., Pethalakshmi, A., and Karnan, M., “Classification Rule Discovery with Ant Colony Optimization with Improved Quick Reduct Algorithm”, IAENG International Journal of Computer Science, Vol. 33, pp: 50-55, 2007. [60] Karnan, M and Thangavel, K,, “Automatic detection of the breast border and nipple position on digital mammograms using genetic algorithm for asymmetry approach to detection of Microcalcifications”, Computer Methods and Programs in Biomedicine, Volume 87 , Issue 1, 12-20 , 2007. [61] Karnan, M and Thangavel, K., “Weight updating in BPN Network using Ant Colony Optimization algorithm for classification of Microcalcifications in mammograms”, International Journal of Computing and Applications, Vol. 2, No. 1, pp: 95-109, 2007. [62] Geetharamani, G Thangavel, K and Elango, C., “Fuzzy Multi-Echelon Inventory System”, Research Journal of Applied Science 2(5), pp: 568-573, 2007. [63] G. Geethamani, G Thangavel, K, and Elango, C., “Multi-item Inventory Control with Backlogging”, International Journal of Soft Computing, vol. 2, 3, pp: 440-444, 2007. [64] Thangavel, K and Pethalakshmi, A., “Feature Selection for Medical Database Using Rough System”, International Journal on Artificial Intelligence and Machine Learning, 6(1): 11-17, 2006. [65] Thangavel, K and Karnan, M., “CAD system for Preprocessing and Enhancement of Digital Mammograms,” International Journal on Graphics Vision and Image Processing, Vol. 9, no. 9, pp: 69-74, 2006. [66] Geetharamani. G, Thangavel. K, Karnan. M, and Elango. C, “Fuzzy Dynamic Programming Model for Perishable Inventory Control System”, International Journal on Automatic Control System and Engineering Vol. 6, no. 3, 2006. [67] Thangavel, K., and Ashok Kumar, D., “Optimization of Code Book in Vector Quantization”, International journal: Annals of Operations Research Vol.143, No.1, 317-325, 2006. [68] Thangavel, K., and Ashok Kumar, D., “A Combined Standard Deviation Based Data Clustering Algorithm”, Journal of Modern Applied Statistical Methods (JMASM). Vol. 5(1), 2006. [69] Thangavel, K., Jaganathan, P and Esmi, P. O., “Subgroup Discovery in Cervical Cancer Analysis using Data Mining”, The International Journal of Artificial Intelligence and Machine Learning, Volume (6), Issue(1), pp. 29-36, 2006. [70] Thangavel, K., Pethalakshmi, A and Esmi, P. O., “Data Mining Approach to Cervical Cancer Patients Analysis using Clustering Technique”, Asian Journal of Information Technology, volume 5, Number 4, 413-417, 2006. [71] Thangavel, K., Pethalakshmi, A., and Jaganathan, P., “A Novel Reduct Algorithm for Dimensionality Reduction with Missing Values based on Rough Set Theory”, International Journal of Soft Computing, Volume 1 Number 2, pp:111-117, 2006. [72] Thangavel, K., Pethalakshmi, A and Jaganathan, P., “A Comparative Analysis of Feature Selection Algorithms Based on Rough Set Theory”, International Journal of Soft Computing, Vol. 1, no. 4, pp: 288-294, 2006. [73] Thangavel, K., Karnan, M., Pethalakshmi, A., Sivakumar. R and Geetharamani, G., “Ant Colony Algorithms in Diverse Combinational Optimization Problems -A Survey”, International Journal on Automatic Control and System Engineering, Vol. 6, no. 1, pp: 7-26, 2006. [74] Geetharamani, G., Thangavel, K., Karnan, M., and Elango, C., “Fuzzy inventory systems with Poisson demand in different membership functions” International Journal on Automatic Control System and Engineering vol. 6, no. 4, pp: 2006. [75] Karnan, M., Thangavel, K., Chitra, K., Sivakumar, R., Dwarakanath, G. K., “BLDC Motor Controlled Using Resonant Pole Inverter with Variable Pulse Width Method” International Journal on Automatic Control System and Engineering, Vol. 06, Issue IV, PP. 47-54, 2006. [76] Thangavel, K., and Ashok Kumar, D., “A Novel K-CSD Large Data Clustering algorithm” International Journal of Mathematical Sciences, Vol. 5, No. 2, PP: 391-402, 2006. [77] Thangavel, K., and Ashok Kumar, D., “Simple Multipass Pattern Clustering Neural Networks”, International Journal on Artificial Intelligence and Machine Learning, Vol.5, Issue 3. PP 69-78, 2005. [78] Thangavel, K and Ashok Kumar, D., “Real Time Simple Unsupervised Self- Organizing Learning Vector Quantization Algorithm”, , International Journal on Artificial Intelligence and Machine Learning, Vol.5, Issue 3, pp. 63-67, 2005. [79] Thangavel, K, Karnan, M., Sivakumar, R and Kaja Mohideen, A., “Automatic Detection of Microcalcifications in Mammograms-A Review,” International Journal on Graphics Vision and Image Processing, Vol. 5, No. 5, pp: 31-61, 2005. [80] Thangavel, K and Karnan, M., “Computer Aided Diagnosis in Digital Mammograms: Detection of Microcalcifications by Meta Heuristic Algorithms,” International Journal on Graphics Vision and Image Processing, Vol. 7, No. 7, pp: 41-55, 2005. [81] Thangavel, K and Karnan, M., “Automatic Detection of Asymmetries in Mammograms Using Genetic Algorithm,” International Journal on Artificial Intelligence and Machine Learning, Vol. 5, No. 3, pp: 55-62, 2005. [82] Thangavel, K, Karnan, M., Siva Kumar, R and Kaja Mohideen, A., “Segmentation and Classification of Microcalcifications in Mammograms Using the Ant Colony System,” International Journal on Artificial Intelligence and Machine Learning, Vol. 5, no. 3, pp: 29-40, 2005. [83] Thangavel, K and Karnan. M., and Sivakumar, R and Kaja Mohideen, A., “Ant Colony System for Segmentation and Classification of Microcalcifications in Mammograms”, The International Journal of Artificial Intelligence and Machine Learning, Vol. (3), 3, pp:29-40, 2005. [84] Thangavel, K., Karnan, M and Pethalakshmi, A., “Performance Analysis of Rough Reduct Algorithms in Mammogram,” International Journal on Graphics Vision and Image Processing, Vol. 5, no. 8, pp: 13-21, 2005. [85] Thangavel, K, Jaganathan, P.,, Pethalakshmi, A and Karnan, M., “Effective Classification with improved quick reduct for medical data base”, International Journal on Bio Informatics and Medical Engineering Vol. 5, no. 1, pp: 69-74, 2005. [86] Thangavel, K and Karnan, M., “Meta-Heuristic Algorithms for Automatic Detection of Microcalcifications in Digital Mammograms”, International Journal on Graphics Vision and Image Processing, Vol. 7, pp:41-55, 2005. [87] Thangavel, K, Quang Shen and Pethalakshmi, A., “Application of Clustering for Feature Selection Based on Rough Set Theory Approach”, International Journal on Artificial Intelligence and Machine Learning, Vol. 6, no.1, pp: 19-27, 2006. [88] Thangavel, K., and Geetharamani, G., “Fuzzy Logic in Medical Decision Support System”, Acta Ciencia Indica, Vol. XXX M, No. 3, 2004 [89] Thangavel, K., Radhakrishnan, S and Balasubraman, K., “Management as an input and its influence on output”, Research bulletin of the Institute of cost and works accountants of India, Vol. XXII, pp.53-60, 2003. [90] Kanniappan, P and Thangavel, K., “Unidimensional search scheme using Identric mean for optimization problems”, OPSEARCH, Vol. 38, No. 2, pp. 197-209, 2001. [91] Kanniappan, P and Thangavel, K., “Improved Pattern search algorithm for solving unconstrained optimization problems”, Pure and Applied Mathematika Science, Vol. LIV, No. 1-2, 2001. [92] Kanniappan, P and Thangavel, K., “Efficient Unidimensional direct search schemes for optimization problems”, OPSEARCH, Vol. 36, No. 3, pp. 270-283, 1999. [93] Kanniappan, P and Thangavel, K., “Modified Fourier method of solving Linear Programming problems”, OPSEARCH, Vol. 35, No. 1, pp 47-56, 1998. [94] Kanniappan, P and Thangavel, K., “An optimization model for selection of IRDP schemes”, ORiON, Vol.9, No. 1, pp. 13-20, 1993.

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