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285 results for “Datasets”
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Research ArticleOpen accessIn the abstractOn the Fly Negotiation for Urgent Service Level Agreement on Intercloud EnvironmentNawfal A. Mehdi, Ali Mamat, Hamidah Ibrahim, Shamala K. SubramaniamProblem statement: Impatient jobs are the jobs that have strict constraints in starting and completion time and need a fast response and attention in mapping to resources. The negotiation process in cloud computing needs a customer-provider agreement that leads to loss of a significant amount of time for impatient jobs. The huge increasing in cloud service providers makes selecting the … …Journal of Computer Science, Vol. 7, Issue 10 · 11 Aug 2011 · 7,948 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Rough Set based Gene Expression Clustering AlgorithmJ. Jeba Emilyn, K. RamarProblem statement: Microarray technology helps in monitoring the expression levels of thousands of genes across collections of related samples. Approach: The main goal in the analysis of large and heterogeneous gene expression datasets was to identify groups of genes that get expressed in a set of experimental conditions. Results: Several clustering techniques have been proposed for identifying gene signatures and … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,830 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpatient Task Mapping in Elastic Cloud using Genetic AlgorithmNawfal A. Mehdi, Ali Mamat, Hamidah Ibrahim, Shamala K. SubramaniamProblem statement: Task scheduling is the main factor that determines the performance of any distributed system. Cloud computing comes with a paradigm of distributed datacenters. Each datacenter consists of physical machines that host virtual machines to execute customers’ tasks. Resources allocation on the cloud is different from other paradigms and the mapping algorithms need to be adapted to the new … …Journal of Computer Science, Vol. 7, Issue 6 · 14 Jun 2011 · 8,034 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Soil and Water Assessment Tools Model for Runoff EstimationM. Hosseini, M.S.M. Amin, A.M. Ghafouri, M.R. TabatabaeiProblem statement: The most of the distributed or physically-based hydrologic and water quality models from developed countries are not directly applicable in developing countries due to both lack of data and different climatic conditions. Hence, there is a need for a study to be conducted a catchment of developed countries. Approach: From a review of various models to estimate runoff … …American Journal of Applied Sciences, Vol. 8, Issue 5 · 17 May 2011 · 8,516 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultilevel Classifier in Recognition of Handwritten Arabic CharactersRawan Ismail Zaghloul, Enas Faisal AlRawashdeh, Dojanah Mohammad Kadri BaderProblem statement: Arabic offline handwriting recognition is considered one of the most challenging topics. This is probably caused by the fact that Arabic recognition system faced many problems during the development stage. It faces the usual problems of character recognition in general, in addition to the problems that are specific to Arabic language only. The aim of this study was … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 7,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Independent Rough Set Approach Hybrid with Artificial Bee Colony Algorithm for Dimensionality ReductionNambiraj Suguna, Keppana Gowder ThanushkodiProblem statement: Dimensionality reduction is viewed as an important pre-processing step for pattern recognition and data mining. As the classical rough set model considers the entire attribute set as a whole to find the subset, comparing all possible combinations of sets of attributes is difficult. Approach: In this study, we have introduced an improved Rough Set-based Attribute Reduction (RSAR) namely … …American Journal of Applied Sciences, Vol. 8, Issue 3 · 25 Mar 2011 · 8,334 accessesView PDFCite
Research ArticleOpen accessIn the abstractMining Rare Itemset with Automated Support ThresholdsKanimozhi Selvi Chenniangirivalsu Sadhasivam, Tamilarasi AngamuthuProblem statement: Frequent itemset mining is an important task in data mining to discover the hidden, interesting associations between items in the database based on the user-specified support and confidence thresholds. Approach: In order to find important associations, an appropriate support threshold has to be specified. The support threshold plays a key role in deciding the interesting itemsets. The rare … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 6,844 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Study in Classification Techniques for Unsupervised Record Linkage ModelMohammadreza Ektefa, Fatimah Sidi, Hamidah Ibrahim et al.Problem statement: Record linkage is a technique which is used to detect and match duplicate records which are generated in data integration process. A variety of record linkage algorithms with different steps have been developed in order to detect such duplicate records. To find out whether two records are duplicate or not, supervised and unsupervised classification techniques are utilized in … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 8,199 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient and Effective Immune Based ClassifierShahram Golzari, Shyamala Doraisamy, Md Nasir Sulaiman, Nur Izura UdzirProblem statement: Artificial Immune Recognition System (AIRS) is most popular and effective immune inspired classifier. Resource competition is one stage of AIRS. Resource competition is done based on the number of allocated resources. AIRS uses a linear method to allocate resources. The linear resource allocation increases the training time of classifier. Approach: In this study, a new nonlinear resource allocation … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,768 accessesView PDFCite
Research ArticleOpen accessIn the abstractFish Classification Based on Robust Features Extraction From Color Signature Using Back-Propagation ClassifierMutasem Khalil Alsmadi, Khairuddin Bin Omar, Shahrul Azman Mohd NoahProblem statement: Image recognition was a challenging problem researchers had been research into this area for so long especially in the recent years, due to distortion, noise, segmentation errors, overlap and occlusion of objects in digital images. In our study, there are many fields concern with pattern recognition, for example, fingerprint verification, face recognition, iris discrimination, chromosome shape discrimination, optical … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,636 accessesView PDFCite