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Articles by C. P. Sumathi
Total Records ( 2 ) for C. P. Sumathi
  K. Meenakshi Sundaram , T. Santhanam , M. Saroja and C. P. Sumathi
  Problem statement: An important tool in the field of education methodology is examination. As far as teaching-learning-evaluation process is concerned, the major task associated with the objective-type examination system is the administration of question paper setting. The lack of expertise and time are the major constraints that are encountered in the task of setting objective type question papers. During retrieval of records from a objective type question bank, redundancy may occur. To solve this problem, an approach needed to retrieve records from a database without redundancy. Approach: The task associated in generating the required collection of questions from a question bank, with minimal redundancy as far as possible in the retrieval of records from the question bank using mid-square and mid-product techniques for random number generation were discussed in this study. Results: A modified approach was identified and handled to generate random numbers and used to retrieve records from a database Conclusion: The suggested modified approach was more suitable for retrieving records from a database of even smaller size.
  C. P. Sumathi , R. Padmaja Valli and T. Santhanam
  Problem statement: With the continued growth and proliferation of e-commerce, Web services and Web-based information systems, the volumes of click-stream and user data collected by Web-based organizations in their daily operations have reached astronomical proportions. Analyzing such data can help these organizations optimize the functionality of web-based applications and provide more personalized content to visitors. This type of analysis involved the automatic discovery of usage interest on the web pages which are often stored in web and applications server access logs. Approach: The usage interest on the web pages in various sessions was partitioned into clusters such that sessions with "similar" interest were placed in the same cluster using expectation maximization clustering technique as discussed in this study. Results: The approach results in the generation of usage profiles and automatic identification of user interest in each profile. Conclusion: The significance of the results will be helpful for organizations for web site improvement based on their navigational interest and provide recommendations for page(s) not yet visited by the user.
 
 
 
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