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Research ArticleOpen accessIn the abstractSentence Annotation based Enhanced Semantic Summary Generation from Multiple DocumentsA. Kogilavani, P. BalasubramanieProblem statement: The goal of document summarization is to provide a summary or outline of manifold documents with reduction in time. Sentence extraction could be a technique that is employed to pick out relevant and vital sentences from documents and presented as a summary. So there is a need to develop more meaningful sentence selection strategy so as to extract … …American Journal of Applied Sciences, Vol. 9, Issue 7 · 17 May 2012 · 7,001 accessesView PDFCite
Research ArticleOpen accessIn the abstractSupplier Selection and Performance Evaluation of Telecommunication CompanyAtefeh Amindoust, Shamsuddin Ahmed, Ali SaghafiniaProblem statement: In today’s manufacturing outsourcing of resources has significant importance. Efficient supplier selection process is a central part in supply chain management for enterprises for outsourcing. Approach: The nature of supplier selection is a multi criteria decision making problem and in the selection process multiple criteria must be considered. In this study a multiple attribute utility theory base on … …American Journal of Engineering and Applied Sciences, Vol. 5, Issue 1 · 28 Feb 2012 · 9,339 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Classification of Cancer using Support Vector Machines and Modified Extreme Learning Machine based on Analysis of Variance FeaturesA. Bharathi, A.M. NatarajanProblem statement: The primary objective is to propose efficient cancer classification techniques which provide reliable and significant classification accuracy. To achieve this primary research goal is to find the smallest set of genes that can ensure high accuracy in classification using supervised machine learning algorithms. The significance of finding the minimum subset is three fold: (a) The computational burden and … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 22 Oct 2011 · 7,441 accessesView PDFCite
Research ArticleOpen accessIn the abstractCancer Classification using Support Vector Machines and Relevance Vector Machine based on Analysis of Variance FeaturesA. Bharathi, A.M. NatarajanProblem statement: The objective of this study is, to find the smallest set of genes that can ensure highly accurate classification of cancer from micro array data by using supervised machine learning algorithms. The significance of finding the minimum subset is three fold: The computational burden and noise arising from irrelevant genes are much reduced; the cost for cancer testing … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 7,593 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Selection for High Dimensional Data: An Evolutionary Filter ApproachAnwar Ali Yahya, Addin Osman, Abd Rahman Ramli, Adlan BalolaProblem statement: Feature selection is a task of crucial importance for the application of machine learning in various domains. In addition, the recent increase of data dimensionality poses a severe challenge to many existing feature selection approaches with respect to efficiency and effectiveness. As an example, genetic algorithm is an effective search algorithm that lends itself directly to feature selection; … …Journal of Computer Science, Vol. 7, Issue 5 · 9 May 2011 · 7,946 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Performance of the Peer to Peer Network by Introducing an Assortment of MethodsM. Sadish Sendil, N. NagarajanProblem Statement: Peer to Peer (P2P) systems have grown dramatically in recent years. The most popular type of P2P systems are file sharing networks, which are used to share various types of content over the Internet. Due to the increase in popularity of P2P systems, the network performance of these systems has become a very important issue in the design … …Journal of Computer Science, Vol. 7, Issue 1 · 16 Dec 2010 · 7,298 accessesView PDFCite
Research ArticleOpen accessIn the abstractSymmetry of Nonparametric Statistical Tests on Three SamplesAnna E. Bargagliotti, Donald G. SaariProblem statement: Many different nonparametric statistical procedures can be used to analyze ranked data. Inconsistencies among the outcomes of such procedures can occur when analyzing the same ranked data set. Understanding why these peculiarities can occur is imperative to providing an accurate analysis of the ranking data. In this context, this study addressed why inconsistent outcomes can occur and which … …Journal of Mathematics and Statistics, Vol. 6, Issue 4 · 4 Nov 2010 · 7,071 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Municipal Solid Waste Compost on the Growth and Production of Vegetable CropsA.E. Ghaly, F.N. AlkoaikProblem statement: MSW has traditionally been dealt with thorough the practice of land filling and incineration. However, deleterious environmental impacts have promoted municipalities in Canada to recycle non-putrescible wastes and compost the putrescible ones. This study aimed at evaluating the effect of MSW compost on the growth and production of three vegetable crops (potatoes, corn and squash). Approach: Each crop … …American Journal of Agricultural and Biological Sciences, Vol. 5, Issue 3 · 30 Sep 2010 · 8,798 accessesView PDFCite
Research ArticleOpen accessIn the abstractWeb Structure Mining: Exploring Hyperlinks and Algorithms for Information RetrievalP. Ravi Kumar, Ashutosh Kumar SinghProblem statement: A study on hyperlink analysis and the algorithms used for link analysis in the Web Information retrieval was done. Approach: This research was initiated because of the dependability of search engines for information retrieval in the web. Understand the web structure mining and determine the importance of hyperlink in web information retrieval particularly using the Google Search engine. … …American Journal of Applied Sciences, Vol. 7, Issue 6 · 30 Jun 2010 · 9,055 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploiting Surrounding Text for Retrieving Web ImagesS. A. Noah, A. Azilawati, T. M.T. Sembok, T. W.T.S. MeriamWeb documents contain useful textual information that can be exploited for describing images. Research had been focused on representing images by means of its content (low level) description such as color, shape and texture, little research had been directed to exploiting such textual information. The aim of this research was to systematically exploit the textual content of HTML documents for … …Journal of Computer Science, Vol. 4, Issue 10 · 31 Oct 2008 · 6,734 accessesView PDFCite