Dr. A.V. Senthil Kumar

Director
Hindusthan College of Arts and Science, Coimbatore, India

Highest Degree
D.Litt. in Computer Sciences from The International Tamil University, United States of America

My URL
https://livedna.org/91.29543

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Area of Interest:

Computer Sciences
Database
Computer Application
Computer Technology
Information Technology

Selected Publications

  1. Venugopal, V. and A.V.S. Kumar, 2019. Public distribution system. Int. J. Adv. Innov. Res., 6: 267-269.

  2. Sundar, P.V.P. and A.V.S. Kumar, 2019. A Novel Approach Towards Online Learning for Identifying Disengaged Learners. In: Handbook on Computer and Information Technology (HCIT), Al- Akaidi, P.M., (Ed.). Research India Publications, India, ISBN No: 978-93-84443-46-7, pp: 113-125.

  3. Senthil Kumar, A.V. and M. Rathi, 2019. Keystroke Dynamics: A Behavioral Biometric Model for User Authentication in Online Exams. In: Biometric Authentication in Online Learning Environment, Senthil Kumar, A.V., (Ed.) Chapter 8, IGI Global, USA, pp: 183-207.

  4. Rathi, M. and A.V.S. Kumar, 2019. Exploration of keystroke dynamics based authentication on fixed-text and on free-text. Int. J. Comput. Sci. Eng., 7: 780-785.
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  5. Poornimha, J. and A.V.S. Kumar, 2019. An enhanced design of AODV protocol to increase the energy consumption in the MANET. Int. J. Res., 8: 71-77.
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  6. Lakshmi, A. and A.V.S. Kumar, 2019. Automatic timetable generator. Int. J. Adv. Innov. Res., 6: 261-263.

  7. Kumar, A.V.S., 2019. Biometric Authentication in Online Learning Environments. IGI Global, USA, ISBN13: 9781522577249 Pages: 314.

  8. Kanirajan, K. and A.V. Senthil Kumar, 2019. An Efficient Device for Women Safety. In: Recent Research Trends in Management and Social Science, Rahman, T., (Ed). Empyreal Publishing House, India, pp: 47-51.

  9. Athinamarun and A.V.S. Kumar, 2019. Crime records management system. Int. J. Adv. Innov. Res., 6: 279-285.

  10. Amuthavani, C., S. Swathi and A.V. Senthil Kumar, 2019. A Secure Group Sharing Framework for Batch Files in Public Cloud Computing. In: Recent Research Trends in Management and Social Science, Rahman, T.,(Ed.). Empyreal Publishing House, India, pp: 40-46.

  11. Ali, A.A. and A.V.S. Kumar, 2019. Credit card fraud detection system. Int. J. Adv. Innov. Res., 6: 264-266.

  12. Abdullah, H.M.A. and A.V. Senthil Kumar, 2019. Selective Cooperative Jamming Based Relay Selection and Blowfish Encryption for Enhancing Channel and Data Security in CRAHN Routing. In: Enabling Technologies and Architectures for Next-Generation Networking Capabilities, Elkhodr, M.,(Ed.), Chapter I, IGI Global, USA, pp: 1-27.

  13. Venkateshprasath and A.V.S. Kumar, 2018. Online employee voting. Int. J. Scient. Res. Comput. Sci. Applic. Manage. Stud., Vol. 7. .
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  14. Swathi, S. and A.V.S. Kumar, 2018. Web based personal savings claim process. J. Emerg. Technol. Innov. Res., 5: 918-943.

  15. Sivaranjani, R. and A.V.S. Kumar, 2018. Particle swarm optimization based approach for reduction of energy consumption and time period in wireless sensor network. J. Eng. Applied Sci., 13: 3927-3934.

  16. Sasi, A.N. and A.V.S. Kumar, 2018. Mapping of organization using google map. Int. J. Adv. Res. Ideas Innov. Technol., 4: 368-375.

  17. Rathi, M. and A.V.S. Kumar, 2018. Biometric authentication techniques-A review. Int. J. Scient. Res. Comput. Sci. Applic. Manage. Stud., Vol. 7. .
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  18. Jose, J. and A.V.S. Kumar, 2018. Sales for automation system. J. Emerg. Technol. Innov. Res., 5: 228-231.

  19. Ilango, M. and A.V.S. Kumar, 2018. Stepwise regression based resource optimized routing in mobile Ad Hoc networks. Int. J. Res. Applied Sci. Eng. Technol., 6: 504-514.

  20. Deeksha, K. and A.V.S. Kumar, 2018. Development of lost articles and reconciliation system for post office. Int. J. Adv. Res. Ideas Innov. Technol., 4: 431-438.

  21. Abirami, T.A. and A.V.S. Kumar, 2018. E-payment system for municipality. Int. J. Adv. Res. Ideas Innov. Technol., 4: 65-81.

  22. Abdullah, H.M.A. and A.V.S. Kumar, 2018. Vertex search based energy-efficient optimal resource allocation in cognitive radio Ad Hoc networks. Digital Inform. Telecommun. Technol., 2: 5-25.
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  23. Abdullah, H.M.A. and A.V.S. Kumar, 2018. Proficient opportunistic routing by queuing based optimal channel selection for the primary users in CRAHN. ARPN J. Eng. Applied Sci., 13: 1649-1656.
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  24. Vijisha, P.O. and A.V.S. Kumar, 2017. RTO office management system. Int. J. Adv. Res. Dev., 2: 69-72.

  25. Sivaranjini, R. and A.V.S. Kumar, 2017. Survey on healthcare management using wireless sensor networks (WSNS). Int. J. Innov. Res. Adv. Eng., 4: 5-10.

  26. Shruti Kohli, A.V., S. Kumar, J.M. Easton and C. Roberts, 2017. Innovative Applications of Big Data in the Railway Industry. IGI Global, USA, ISBN13: 9781522531760, Pages: 395.

  27. Senthil Kumar, A.V., 2017. Optimizing Student Engagement in Online Learning Environments. IGI Global, USA, ISBN13: 9781522536345, Pages: 338.

  28. Senthil Kumar, A.V. and P.V. Praveen Sundar, 2017. Impact of Student Engagement in Online Learning Environments. In: Optimizing Student Engagement in Online Learning Environments, Senthil Kumar, A.V., (Ed.), Chapter 5, IGI Global, Hershey, USA, pp: 116-124.

  29. Selvan, P.T. and A.V.S. Kumar, 2017. Multisample classification in clinical decisions using multi-aggregative factored K-NN classifier. Int. J. Trend Scient. Res. Dev., 1: 1037-1042.

  30. Selvan, P.T. and A.V.S. Kumar, 2017. Analysis on multi-aggregative factor using electromyographic data. Int. J. Trend Scient. Res. Manage., 5: 7474-7484.
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  31. Mary, A.C. and A.V.S. Kumar, 2017. Effective scheduling in networks-TRUMP. Int. J. Res. Network Security Commun., 5: 27-30.
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  32. Kumar, A.V.S., 2017. Ensemble online sequential extreme learning machine and swarm intelligent based feature selection for cleveland heart disease prediction system. Int. J. Adv. Trends Comput. Sci Eng., 6: 84-91.

  33. Kumar, A.V.S. and V. Vineeth, 2017. An intelligent car parking allotment system using CCTV camera. Int. J. Emerg. Technol. Eng. Res., 5: 165-168.

  34. Kumar, A.V.S. and V. Kumar, 2017. Face matching algorithm for gate pass automation system. Int. J. Emerg. Technol. Eng. Res., 5: 161-164.

  35. Kumar, A.V.S. and J. Thiyagarajan, 2017. A new conditional key based authentication for secure shopping. Int. J. Emerg. Technol. Eng. Res., 5: 156-160.

  36. Kumar, A.V.S. and E.S. Prakash, 2017. DNA sequence analysis and matching for forensic science used in crime department. Int. J. Emerg. Technol. Eng. Res., 5: 152-155.

  37. Kaviyarasu, B. and A.V.S. Kumar, 2017. Web interaction mining using penta layered artificial neural network classifier. Int. J. Comput. Sci. Eng. Technol., 3: 64-70.

  38. Kaviyarasu, B. and A.V.S. Kumar, 2017. Web interaction mining using improved extreme learning machine classifier. Int. J. Res. Sci. Eng. Technol., 3: 45-51.

  39. Kaviyarasu, B. and A.V.S. Kumar, 2017. Web interaction mining using adaptive feature selection basedpenta layered artificial neural network (AFS-Plan) classifier. Int. J. Emerg. Trends Sci. Technol., 4: 5879-5886.

  40. Kaviyarasu, B. and A.V.S. Kumar, 2017. An improved support vector machine classifier using adaboost and genetic algorithmic approach towards web interaction mining. Int. J. Adv. Networking Applic., 8: 3201-3208.
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  41. Kaviyarasu, B. and A.V.S. Kumar, 2017. Adaptive feature selection based improved vector machine classifier using adaboost and genetic algorithm for web interaction mining. Int. J. Applied Eng. Res., 12: 10138-10144.

  42. Dutta, A. and A.V.S. Kumar, 2017. Analysis and predictions on students’ academic performance using ID3 algorithm. Int. J. Data Mining Emerg. Technol., 7: 107-113.
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  43. Banu, D.S. and A.V.S. Kumar, 2017. Review on different protocols of wireless sensor networks involving in different areas. Int. J. Res. Dev. Technol., 7: 24-26.

  44. Banu, D.S. and A.V.S. Kumar, 2017. Facilitating efficient routing using protracted biclustering protocol for wireless sensor networks (PBP_WSN). Int. J. Eng. Sci. Res. Technol., 6: 9-14.
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  45. Abraham, R.T. and A.V.S. Kumar, 2017. Wild life conservation and management system. Int. J. Emerg. Technol. Eng. Res., 5: 169-173.

  46. Abdullah, H.M.A. and A.V.S. Kumar, 2017. Modified SMOR using sparsity aware distributed spectrum map for enhanced opportunistic routing in cognitive radio Adhoc networks. J. Adv. Res. Dynamical Control Syst., 9: 184-196.

  47. Abdullah, H.M.A. and A.V.S. Kumar, 2017. HB-SOR: Hybrid bat spectrum map empowered opportunistic routing and energy reduction for Cognitive Radio Ad Hoc Networks (CRAHNs). Int. J. Sci. Res. Publications, 7: 284-297.

  48. Vijayakumar, P. and A.V.S. Kumar, 2016. Threshold based filtering technique for efficient moving object detection and tracking in video surveillance. Int. J. Res. Eng. Technol., 5: 303-310.
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  49. Vijayakumar, P. and A.V.S. Kumar, 2016. Performance of various filters for noise cancellation in video surveillance. Int. J. Eng. Technol. Manage. Applied Sci., 4: 19-26.
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  50. Vijayakumar, P. and A.V.S. Kumar, 2016. Enhanced denoising algorithm for improving quality of objects in frames for video surveillance. IOSR J. Comput. Eng., 18: 25-31.

  51. Vijayakumar, P. and A.V.S. Kumar, 2016. An enhanced multi featured video object detection and tracking using threshold filters. Int. J. Applied Eng. Res., 11: 5400-5407.

  52. Vijayakumar, P. and A.V.S. Kumar, 2016. An effective multiple moving objects tracking using Bayesian particle filter-based median enhanced laplacian thresholding. Int. J. Eng. Res. Technol., 5: 91-93.

  53. Umagandhi, R. and A.V. Senthil Kumar, 2016. Search Query Recommendations in Web Information Retrieval Using Query Logs. In: Web Usage Mining Techniques and Applications across Industries, Senthil Kumar, A.V. (Ed.). Chapter 8, IGI Global, Hershey, PA., USA., ISBN-13: 9781522506140, pp: 199-222.

  54. Sundar, P.V.P. and A.V.S. Kumar, 2016. Disengagement detection in online learning using log file analysis. Int. J. Control Theory Applic., 9: 295-301.

  55. Sundar, P.V.P. and A.V.S. Kumar, 2016. Automated discrimination of the learners attitude in online learning. Int. J. Educ. Psychol. Res., 5: 81-86.

  56. Sundar, P.V.P. and A.V.S. Kumar, 2016. An improved user verification in online learning systems using behavioral profile. Int. J. Adv. Res. Educ. Technol., 3: 7-12.

  57. Sundar, P.V.P. and A.V.S. Kumar, 2016. A systematic approach to identify the unmotivated learners in online learning. Indian J. Sci. Technol., 9: 1-6.

  58. Senthil Kumar, A.V., 2016. Web Usage Mining Techniques and Applications across Industries. IGI Global, Hershey, PA., USA., ISBN-13: 9781522506140, Pages: 424.

  59. Senthil Kumar, A.V. and R. Umagandhi, 2016. Applications of Web Usage Mining across Industries. In: Web Usage Mining Techniques and Applications across Industries, Senthil Kumar, A.V. (Ed.). Chapter 4, IGI Global, Hershey, PA., USA., ISBN-13: 9781522506140, pp: 92-115.

  60. Mythili, S. and A.V.S. Kumar, 2016. Identifying circulating tumor cells in breast cancer with data mining algorithms by using microarray. Int. J. Eng. Sci. Res. Technol., 5: 11-23.

  61. Mythili, S. and A.V.S. Kumar, 2016. Identifying circulating tumor cell information to metastatic cancer breast cancer therapy with data mining algorithms in microarray technology. Int. J. Trend Res. Dev., 3: 255-264.

  62. Mythili, S. and A.V.S. Kumar, 2016. Identification of breast cancer by artificial bee colony algorithm with least square support vector machine. Int. J. Comput. Sci. Inform. Security, 14: 178-183.

  63. Mythili, S. and A.V.S. Kumar, 2016. Hybrid feature selection and heterogeneous clustering ensemble framework for detection of circulating tumor cells. J. Med. Imag. Health Inform., 6: 1160-1166.
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  64. Maheswari, I.S. and A.V.S. Kumar, 2016. Earthquake analysis system in twitter network. Int. J. Eng. Technol. Sci., 3: 24-30.

  65. Kumar, A.V.S., 2016. Feature selection based on correlation and information gain for plant leaf classification. Int. J. Control Theory Applic., 9: 513-519.

  66. Ilango, M. and A.V.S. Kumar, 2016. Probablistic and link based energy efficient routing in MANET. Int. J. Comput. Trends Technol., 38: 38-45.
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  67. Dutta, A. and A.V.S. Kumar, 2016. Identifying disengaged learners using educational data mining techniques. Int. J. Control Theory Applic., 9: 521-529.

  68. Abdullah, H.M.A. and A.V.S. Kumar, 2016. A hybrid artificial bee colony based spectrum opportunistic routing algorithm for cognitive radio Ad hoc networks. Int. J. Scient. Eng. Res., 7: 294-303.

  69. Vijayakumar, P. and A.V.S. Kumar, 2015. Moving object segmentation using median filter-based enhanced laplacian thresholding. Eur. J. Scient. Res., 133: 415-427.

  70. Vijayakumar, P. and A.V.S. Kumar, 2015. Improvising enhanced laplacian thresholding technique for efficient moving object detection in video surveillance. IOSR J. Eng., 6: 42-52.

  71. Vijayakumar, P. and A.V.S. Kumar, 2015. An improved video object segmentation and tracking based on features using threshold filtering technique. J. Comput. Sci. Eng. Software Testing, 2: 1-17.

  72. Vijayakumar, P. and A.V.S. Kumar, 2015. A novel framework for specific object tracking in the multiple moving objects environment. Int. J. Applied Eng. Res., 10: 36540-36545.

  73. Umagandhi, R. and A.V.S. Kumar, 2015. Query recommendations and its evaluation in web information retrieval. J. Soft Comput., 5: 991-998.
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  74. Umagandhi, R. and A.V.S. Kumar, 2015. Evaluation of reranked recommended queries in web information retrieval using NDCG and CV. Int. J. Inf. Technol. Comput. Sci., 7: 23-30.
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  75. Sundar, P.V.P. and A.V.S. Kumar, 2015. Disengagement detection in online learning using quasi framework. IOSR J. Eng., 5: 4-9.

  76. Sundar, P.V.P. and A.V.S. Kumar, 2015. A hybrid classification method for disengagement detection in online learning. IOSR J. Educ. Inform. Stud., 5: 67-74.

  77. Sumathi, C.S. and A.V.S. Kumar, 2015. Feature selection for plant leaf classification based on information gain. Int. J. Adv. Res. Comput. Sci. Software Eng., 4: 856-861.

  78. Senthil Kumar, A.V., 2015. Fuzzy Expert Systems for Disease Diagnosis. IGI Global, Hershey, PA., USA., ISBN-13: 9781466672413, Pages: 401.

  79. Senthil Kumar, A.V. and M. Kalpana, 2015. Fuzzy Expert System to Diagnose Diabetes using S Weights for S Fuzzy Assessment Methodology. In: Fuzzy Expert Systems for Disease Diagnosis, Senthil Kumar, A.V. (Ed.). Chapter 10, IGI Global, Hershey, PA., USA., ISBN-13: 9781466672413, pp: 280-301.

  80. Senthil Kumar, A.V. and M. Kalpana, 2015. Emerging Application of Fuzzy Expert System in Medical Domain. In: Fuzzy Expert Systems for Disease Diagnosis, Senthil Kumar, A.V. (Ed.). Chapter 1, IGI Global, Hershey, PA., USA., ISBN-13: 9781466672413, pp: 1-20.

  81. Savitha, J. and A.V.S. Kumar, 2015. SVD and HMM based borns matching. Int. J. Adv. Foundation Res. Comput., 2: 53-61.

  82. Savitha, J. and A.V.S. Kumar, 2015. Image segmentation based face recognition using enhanced SPCA-KNN Method. Int. J. Comp. Sci. Inf. Technol., 6: 2115-2120.

  83. Savitha, J. and A.V.S. Kumar, 2015. Face recognition for appearance model and neural network based on illumination images. Int. J. Software Hardware Res. Eng., 3: 37-49.

  84. Savitha, J. and A.V.S. Kumar, 2015. Active appearance model and PCA based face recognition system. Int. J. Comput. Sci. Mobile Comput., 4: 722-731.
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  85. Kumar, A.V.S., 2015. Hybrid ensemble feature selection for heart disease prediction system using an NMF hierarchical clustering. Int. J. Data Mining Emerg. Technol., 5: 49-62.
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  86. Kumar, A.V.S., 2015. Generating weights for fuzzy decision making mechanism to diagnose heart disease. J. Comput. Technol. Applic., 6: 7-13.

  87. Gokilavani, M. and A.V.S. Kumar, 2015. Enhancing the privacy of crowdsourcing database using STA. Int. J. Res. Comput. Applic. Robotics, 3: 114-118.

  88. Baluswami, K. and A.V.S. Kumar, 2015. Survey on cloud computing and service model based security analysis in cloud computing. Int. J. Res. Sci. Eng. Technol., 2: 27-32.

  89. Akilandeswari, S. and A.V.S. Kumar, 2015. A novel low utility based infrequent weighted itemset mining approach using frequent pattern. Int. J. Comput. Sci. Eng., 3: 181-185.

  90. Akilandeswari, S. and A.V.S. Kumar, 2015. A novel approach for mine infrequent weighted itemset using coherent rule mining algorithm. Indian J. Innov. Dev., 4: 1-6.

  91. Abdullah, H.M.A. and A.V.S. Kumar, 2015. A survey on spectrum-map based on normal opportunistic routing methods for cognitive radio Ad hoc networks. Int. J. Adv. Networking Applic., 7: 2761-2770.
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  92. Vijayakumar, P. and A.V.S. Kumar, 2014. Moving object segmentation using enhanced laplacian thresholding method for video surveillance. Int. J. Comp. Applicat., 100: 13-17.
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  93. Umagandhi, R. and A.V.S. Kumar, 2014. Time heuristics ranking approach for recommended queries using search engine query logs. Kuwait J. Sci., 41: 127-149.
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  94. Umagandhi, R. and A.V.E. Kumar, 2014. Time independent query recommendations using concept based user profile from search engine query logs. World Applied Sci. J., 31: 846-853.
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  95. Sumathi, C.S. and A.V.S. Kumar, 2014. Enhancing accuracy of plant leaf classification techniques. Int. J. Eng. Res. Applicat., 04: 40-46.

  96. Sumathi, C.S. and A.V. Kumar, 2014. Validation of a neural network based leaf classification algorithm. Int. J. Adv. Res. Comp. Sci., 5: 5-8.

  97. Sumathi, C.S. and A.S. Kumar, 2014. Neural network based plant identification using leaf characteristics fusion. Int. J. Comp. Applicat., 89: 31-35.
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  98. Savitha, J. and A.V.S. Kumar, 2014. Face tracking and detection using s-pca & klt method. Int. J. Adv. Res. Comput. Sci. Manage. Stud., 2: 224-229.

  99. Mellah, M.A., A. Amine, R.M. Hamou and A.V.S. Kumar, 2014. Link analysis for communities detection on facebook. World Int. J. Data Mining Emerg. Technol., 4: 16-23.

  100. Krishnaveni, S., A.V.S. Kumar, M.A. Mellah, A. Amine and R.M. Hamou, 2014. Mitigating sybil attacks by using sybil based defense mechanism in large social networks. Int. J. Innov. Sci., Eng. Technol., 1: 193-201.

  101. Krishnaveni, S. and A.V.S. Kumar, 2014. HMAC Construction for defense mechanism for sybil attacks in large social networks. Int. J. Adv. Res. Comp. Sci. Software Eng., 04: 646-651.

  102. Krishnaveni, S. and A.S. Kumar, 2014. A survey on defense mechanism for sybil attacks in large social networks. Int. J. Adv. Res. Comput. Sci., 5: 105-110.
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  103. Umagandhi, R. and A.V. Senthilkumar, 2013. Time dependent approach for query and URL recommendations using search engine query logs. IAENG Int. J. Comput. Sci., Vol. 40. .
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  104. Umagandhi, R. and A.V. Senthilkumar, 2013. Search query recommendations using hybrid user profile with query logs. Int. J. Comput. Appl., 80: 7-18.
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  105. Sundar, P.P. and A.S. Kumar, 2013. Evaluation of regional benchmark impact in EDM. Int. J. Comp. Sci., 10: 531-535.
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  106. Sumathi, C.S. and A.S. Kumar, 2013. Plant leaf classification using soft computing techniques. Intl. J. Future Comput. Commun., 2: 196-199.
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  107. Sumathi, C.S. and A.S. Kumar, 2013. Optimized neural network for plant leaf classification. Adv. Nat. Applied Sci., 7: 449-455.

  108. Sumathi, C.S. and A.S. Kumar, 2013. Identification of Arable and tree crops by edge and texture fusion techniques. Int. J. Comput. Eng. Technol., 4: 167-174.

  109. Savitha, J. and A.V.S. Kumar, 2013. Efficient method for face recognition from pose and expression. Int. J. Adv. Res. Comp. Sci. Software Eng., 03: 305-308.

  110. Priya, K.S. and A.V.S. Kumar, 2013. Improving the Student’s performance using Educational Data Mining. Int. J. Adv. Networking Applicat., 04: 1680-1685.

  111. Kumar, A.S., 2013. Generating rules for advanced fuzzy resolution mechanism to diagnosis heart disease. Int. J. Comp. Applicat., 77: 6-12.
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  112. Kalpana, M. and A.V.S. Kumar, 2013. Similarity measure between fuzzy set, fuzzy numbers and fuzzy rules using t fuzzy assessment methodology. Australian J. Basic Applied Sci., 7: 72-80.

  113. Kalpana, M. and A.V. Senthilkumar, 2013. Diagnosis of diabetes using enhanced fuzzy assessment methodology. Eur. J. Sci. Res., 97: 14-27.
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  114. Kalpana, K. and A.V.S. Kumar, 2013. S fuzzy assessment methodology using S Value to diagnosis diabetes. Int. J. Adv. Res. Comp. Sci. Software Eng., 03: 1350-1358.

  115. Atig, Y., A. Amine, A. Zahaf and A.V. Kumar, 2013. Alignment evolution between ontologies using a change log. Int. J. Data Mining Emerg. Technol., 3: 81-87.
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  116. Alrabea, A., A. Senthilkumar, H. Al-Shalabi and A. Bader, 2013. Enhancing K-means algorithm with initial cluster centers derived from data partitioning along the data axis with PCA. J. Adv. Comput. Networks, 1: 137-142.
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  117. Umagandhi, R. and A.V. Senthilkumar, 2012. Frequent web access pattern mining for web users using query logs. Int. J. Comput. Sci. Technol., 3: 223-228.

  118. Umagandhi, R. and A.V. Senthilkumar, 2012. Approaches to find URL click count from search engine query logs. Int. J. Comput. Inform. Syst., 4: 30-36.

  119. Umagandhi, R. and A.V. Senthilkumar, 2012. An efficient method to identify users and sessions from web logs. Int. J. Adv. Res. Comput. Sci., 3: 50-54.
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  120. Sumathi, C.S. and A.S. Kumar, 2012. Edge and texture fusion for plant leaf classification. Int. J. Comput. Sci. Telecommun., 3: 6-9.
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  121. Senthil Kumar, A.V. and H. Rahman, 2012. Mobile Computing Techniques in Emerging Markets: Systems, Applications and Services: Systems, Applications and Services. IGI Global, Hershey, PA., USA., ISBN-13: 9781466600812, Pages: 376.

  122. Rahman, H. and A.V. Senthil Kumar, 2012. Mobile Computing : An emerging issue in the digitized world. In: Mobile computing Techniques in Emerging Markets : Systems, Applications and Services Senthil Kumar, A.V. and H. Rahman, (Eds), Chapter I, IGI Global, USA, pp: 1- 22.

  123. Priya, K.S. and A.V. Kumar, 2012. Predicting students’ performance using the machine learning approach in educational data mining. Int. J. Data Mining Emerg. Technol., 2: 66-70.
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  124. Margaret, M.R. and A.V.S. Kumar, 2012. Decision support in hear disease systtem with subset selection using a hybrid bacteriological algorithm. Int. J. Adv. Res. Comput. Sci. Software Eng., 02: 1-5.

  125. Kumar, S., A. Alrabea, I. El Emary and J. Sivakami, 2012. Optimized clustering algorithm for content-based image retrieval. Int. J. Adv. Res. Comput. Sci., 3: 121-124.
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  126. Kumar, A.V.S., 2012. Diagnosis of heart disease using fuzzy resolution mechanism. J. Artif. Intell., 5: 47-55.
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  127. Kumar, A.V.S., 2012. Adaptive neuro-fuzzy inference system based on substractive clustering to diagnosis the heart disease. Int. J. Adv. Knowl. Eng. Comput. Sci., 1: 01-11.

  128. Kumar, A.V.S. and J.Savitha, 2012. Face comparison using PSO Algorithm. Int. J. Comp. Trend Technol., 03: 216-219.

  129. Kumar, A.V.S. and J. Sivakami, 2012. A content based approach for image retrieval from relevance feedback. Int. J. Sci. Applied Inf. Technol., 01: 65-69.

  130. Kumar, A.S. and S. Mythili, 2012. Parallel implementation of genetic algorithm using k-means clustering. Int. J. Adv. Networking Applic., 3: 1450-1455.
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  131. Kalpana, M. and A.V. Kumar, 2012. Diagnosis of diabetes using correlation fuzzy logic in fuzzy expert system. Int. J. Adv. Res. Comput. Sci., 3: 244-250.
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  132. Kalpana, M. and A.S. Kumar, 2012. Design and implementation of fuzzy expert system using fuzzy assessment methodology. Int J., 1: 39-45.
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  133. Al-Shalabi, H., A. Swidan, A. Alrabea and A.S. Kumar, 2012. V model of E-learning using gagne nine steps of education. J. Software Eng. Applic., 5: 850-854.

  134. Al Rabea, A.I., I.M.M. El Emary and A.V.S. Kumar, 2012. The Essential security aspects of wireless sensor networks: Issues, goals and challenges. Sci. Ser. Data Rep., 4: 116-127.

  135. Kumar, S.A.V., A. Al-Rabea and I.M.M. El Emary, 2011. Frequent Itemsets Mining: An efficient graphical approach. World Applied Programm, 1: 330-338.

  136. Kalpana, M. and A.V.S. Kumar, 2011. Fuzzy expert system for diagnosis of diabetes using fuzzy determination mechanism. Int. J. Comput. Sci. Emerg. Technol., 02: 354-361.

  137. Kalpana, M. and A.V. Senthilkumar, 2011. Enhanced fuzzy verdict mechanism for diabetes using fuzzy expert system. J. Comput. Intellig. Inf. Security, 2: 43-54.

  138. Kalpana, M. and A.V. Senthil Kumar, 2011. Fuzzy Expert System for Diabetes using Fuzzy Verdict Mechanism. Int. J. Advanced Net. Applic., 3: 1128-1134.
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  139. Frank, C., L. Frank and A.V. Kumar, 2011. Evaluation of various database architectures for datawarehouses: A case study on ETL integrated EHR. Int. J. Data Mining Emerg. Technol., 1: 46-53.
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  140. Senthil Kumar, A.V., A. Alrabea and P.C. Sekhar, 2010. Temporal Association Rule Mining in Large Databases. In: Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains, Senthil Kumar, A.V. (Ed.). Chapter 3, IGI Global, Hershey, PA., USA., ISBN-13: 9781609600693, pp: 48-65.

  141. Senthil Kumar, A.V., 2010. Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains. IGI Global, Hershey, PA., USA., ISBN-13: 9781609600693, Pages: 414.

  142. Kumar, A.V.S., 2009. Mining frequent itemsets using direct hashing technique. Int. J. Eng. Res. Ind. Applic., 2: 281-296.

  143. Senthil Kumar, A.V. and R.S.D. Wahidabanu, 2008. Data Mining Association Rules for Making Knowledgeable Decisions. In: Data Mining Applications for Empowering Knowledge Societies, Rahman, H. (Ed.). Chapter 3, IGI Global, Hershey, PA., USA., ISBN-13: 9781599046594, pp: 43-53.

  144. Kumar, A.V.S. and R.S.D. Wahidabanu, 2008. Mining frequent itemsets : Efficient hashing and tree-Based approach. Int. J. Comp. Sci. Software Technol., 1: 1-7.

  145. Kumar, A.V.S. and R.S.D. Wahidabanu, 2008. DHFI-tree mining: A new approach for frequent itemset mining. Adv. Comput. Sci. Eng. (ACSE), 2: 115-132.
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  146. Kumar, A.V.S. and R.S.D. Wahidabanu, 2007. Discovery of frequent itemsets: Frequent item tree-based approach. ITB J. ICT, 1: 42-55.
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  147. Kaviyarasu, B. and A.V.S. Kumar, 2007. Web interaction mining using adaptive feature selection based improved extreme learning machine (AFS-IELM) classifier. Global J. Pure Applied Math., 13: 7695-7707.
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