9 results for “Punithavalli”

Research ArticleOpen accessIn the author namesA Novel Distinguishability Based Weighted Feature Selection Algorithms for Improved Classification of Gene Microarray DatasetJ. Jeyachidra, M. PunithavalliData mining played vital role in comprehending, analyzing, understanding and interpreting microarray technology expression data. That includes search for genes that had similar or correlated patterns of expression. For that, the feature selection was one of the frequently used important techniques for data preprocessing. Many feature selection algorithms had been developed. Yet the persisting problem was in selecting optimal subset … …Journal of Computer Science, Vol. 11, Issue 2 · 2 Feb 2015 · 6,380 accessesView PDF Cite

Research ArticleOpen accessIn the author namesDISTINGUISHABILITY BASED WEIGHTED FEATURE SELECTION USING COLUMN WISE K NEIGHBORHOOD FOR THE CLASSIFICATION OF GENE MICROARRAY DATASETJeyachidra, PunithavalliIn data mining, much research is being carried out to discover the previously unknown, valid, novel, useful and understandable patterns in large databases. The patterns must be actionable so that they might be used for decision making to a variety of applications in healthcare. In this study, feature subset selection is an important area, where many approaches have been proposed. … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 13 Nov 2013 · 6,801 accessesView PDF Cite

Research ArticleOpen accessIn the author namesEnhanced Ensemble Prediction Algorithms for Detecting Faulty Modules in Object Oriented Systems Using Quality MetricsM. Punithavalli, C. NeelamegamThe high usage of software system poses high quality demand from users, which results in increased software complexity. To address these complexities, software quality engineering methods should be updated accordingly and enhance their quality assuring methods. Fault prediction, a sub-task of SQE, is designed to solve this issue and provide a strategy to identify faulty parts of a program, so … …Journal of Computer Science, Vol. 8, Issue 12 · 20 Dec 2012 · 6,438 accessesView PDF Cite

Research ArticleOpen accessIn the author namesAn Integrated Framework for Mixed Data Clustering Using Self Organizing MapHari Prasad Devaraj, M. PunithavalliProblem statement: Clustering plays an important role in data mining of large data and helps in analysis. This develops a vast importance in research field for providing better clustering technique. There are several techniques exists for clustering the similar kind of data. But only very few techniques exists for clustering mixed data items. This leads to the requirement of better … …Journal of Computer Science, Vol. 7, Issue 11 · 18 Aug 2011 · 7,307 accessesView PDF Cite

Research ArticleOpen accessIn the author namesDecision Based Development of Productline: A Quintessence Usability ApproachR.V. Siva Balan, M. PunithavalliProblem statement: A well designed user interface is comprehensible and controllable, helping users to complete their work successfully and efficiently and to feel competent and satisfied. To improve the usability of a software system, usability patterns can be applied. However, there are short comes shows that the software architecture of a system restricts certain usability patterns from being modified after … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 6,881 accessesView PDF Cite

Research ArticleOpen accessIn the author namesConstructing a Grid Simulation for E-Governance Applications Using GridSimMrs. P. Sumathi, M. PunithavalliThis study provides a design framework for the adoption of grid computing for e-governance applications. Problem statement: E-Governance is the application of information and communication technology to achieve efficiency, effectiveness, transparency and accountability in Government to Government (G2G), Government to Employee (G2E), Government to Citizen (G2C) and Government to Business (G2B). It enables citizens to make best use of automated … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,770 accessesView PDF Cite

Research ArticleOpen accessIn the author namesTaxonomically Clustering Organisms Based on the Profiles of Gene Sequences Using PCAE. Ramaraj, M. PunithavalliThe biological implications of bioinformatics can already be seen in various implementations. Biological taxonomy may seem like a simple science in which the biologists merely observe similarities among organisms and construct classifications according to those similarities[1], but it is not so simple. By applying data mining techniques on gene sequence database we can cluster the data to find interesting similarities … …Journal of Computer Science, Vol. 2, Issue 3 · 31 Mar 2006 · 6,753 accessesView PDF Cite