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Research ArticleOpen accessIn the abstractSummarizing Relational Data Using Semi-Supervised Genetic Algorithm-Based Clustering TechniquesRayner AlfredProblem statement: In solving a classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets stored in multiple tables into a single table. Unfortunately, we may loss some information when we join tables with a high degree of one-to-many association. Therefore, data transformation becomes a tedious trial-and-error work and … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 7,585 accessesView PDFCite
Research ArticleOpen accessIn the abstractPattern Trees for Fault-Proneness Detection in Object-Oriented SoftwareRomana Ishrat, Rafat Parveen, Syed I. AhsonProblem statement: This study introduced an application of pattern tree based classification technique in the area of object-oriented software quality estimation. This application explored the fault prediction accuracy of pattern trees. Approach: Similarity measures and fuzzy aggregations employed in the pattern tree technique had been used to generate tree models for fault detection in software modules. Experiments had been performed … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Jul 2010 · 6,949 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Speaker Recognition: Babylon Levantine Subset Case StudyMansour Alsulaiman, Youssef Alotaibi, Muhammad Ghulam et al.Problem statement: Researchers on Arabic speaker recognition have used local data bases unavailable to the public. In this study we would like to investigate Arabic speaker recognition using a publically available database, namely Babylon Levantine available from the Linguistic Data Consortium (LDC). Approach: Among the different methods for speaker recognition we focus on Hidden Markov Models (HMM). We studied the … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,243 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Derivative-Free Optimization Method for Solving Classification ProblemParvaneh Shabanzadeh, Malik Abu Hassan, Wah June LeongProblem statement: The aim of data classification is to establish rules for the classification of some observations assuming that we have a database, which includes of at least two classes. There is a training set for each class. Those problems occur in a wide range of human activity. One of the most promising ways to data classification is based on … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,505 accessesView PDFCite
Research ArticleOpen accessIn the abstractSingle Pass Seed Selection Algorithm for k-MeansK. Karteeka Pavan, Allam Appa Rao, A.V. Dattatreya Rao, G. R. SridharProblem statement: The k-means method is one of the most widely used clustering techniques for various applications. However, the k-means often converges to local optimum and the result depends on the initial seeds. Inappropriate choice of initial seeds may yield poor results. k-means++ is a way of initializing k-means by choosing initial seeds with specific probabilities. Due to the random … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 7,541 accessesView PDFCite
Research ArticleOpen accessIn the abstractLoad Allocation Model for Scheduling Divisible Data Grid ApplicationsMonir Abdullah, Mohamed Othman, Hamidah Ibrahim, Shamala SubramaniamProblem statement: In many data grid applications, data can be decomposed into multiple independent sub-datasets and distributed for parallel execution and analysis. Approach: This property had been successfully employed by using Divisible Load Theory (DLT), which had been proved as a powerful tool for modeling divisible load problems in data-intensive grid. Results: There were some scheduling models had been studied … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 6,900 accessesView PDFCite
Research ArticleOpen accessIn the abstractWavelet-Based Geometry Coding for Three Dimensional Mesh Using Space Frequency QuantizationShymaa T. El-Leithy, Walaa M. ShetaProblem statement: Recently, 3D objects have been used in several applications like internet games, virtual reality and scientific visualization. These applications require real time rendering and fast transmission of large objects through internet. However, due to limitation of bandwidth, the compression and streaming of 3D object is still an open research problem. Approach: Novel procedure for compression and coding of … …Journal of Computer Science, Vol. 5, Issue 8 · 31 Aug 2009 · 6,603 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Performance Study of Improved Heap Sort Algorithm on Different HardwareVandana Sharma, Satwinder Singh, K. S. KahlonProblem statement: Several efficient algorithms were developed to cope with the popular task of sorting. Improved heap sort is a new variant of heap sort. Basic idea of new algorithm is similar to classical Heap sort algorithm but it builds heap in another way. The improved heap sort algorithm requires nlogn-0.788928n comparisons for worst case and nlogn-n comparisons in average … …Journal of Computer Science, Vol. 5, Issue 7 · 31 Jul 2009 · 6,824 accessesView PDFCite
Research ArticleOpen accessIn the abstractSupport Measure Admissibility Based on Operations on Instance GraphsFord Lumban GaolThe concept of support is central to data mining. While the definition of support in transaction databases is intuitive and simple, that is not the case in graph datasets and databases. Most mining algorithms require the support of a pattern to be no grater than that of its subpatterns, a property called anti-monotonicity or admissibility. This study examines the requirements … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,825 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligence System for Software Maintenance Severity PredictionParvinder Singh Sandhu, Sunil Kumar, Hardeep SinghThe software industry has been experiencing a software crisis, a difficulty of delivering software within budget, on time, and of good quality. This may happen due to number of defects present in the different modules of the project that may require maintenance. This necessitates the need of predicting maintenance urgency of the particular module in the software. In this paper, … …Journal of Computer Science, Vol. 3, Issue 5 · 31 May 2007 · 6,941 accessesView PDFCite