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54 articles for “Skew”
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Research ArticleOpen accessIn the keywordsModel for Load Balancing On Processors in Parallel Mining of Frequent ItemsetsRavindra Patel, S. S. Rana, K. R. PardasaniThe existence of many large transactions distributed databases with high data schemas, the centralized approach for mining association rules in such databases will not be feasible. Some distributed algorithms have been developed [FDM, CD], but none of them have considered the problem of data skews in distributed mining of association rules. The skewness of datasets reduces the workload balancing between … …American Journal of Applied Sciences, Vol. 2, Issue 5 · 31 May 2005 · 7,341 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnhancing Lifetime Data Modeling With the Modified Version of Weibull Distribution: A Comparative ApproachArjun Kumar Gaire, Shahid Mohammad, Yogendra Bahadur GurungThis study introduces a new two-parameter univariate distribution, a modified version of the Weibull distribution, for a non-negative realm. Originating from a framework introduced by Azzalini and Capitanio, the distribution exhibits a monotonically increasing hazard rate. It offers closed-form expressions for key statistical properties, including reliability functions, moments, moment-generating functions, and order statistics. An expression for random number generation is … …Journal of Mathematics and Statistics, Vol. 21, Issue 1 · 8 Oct 2025 · 3,085 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Comparative Study of Block Preconditioners for Incompressible Flow ProblemsJia LiuProblem statement: We consider the numerical solvers for the linearized Navier-Stokes problem. Both the Stokes problem and Oseen problems are considered. Approach: We used the Mark and Cell (MAC) discretization method to discretize the Navier-Stokes equations. We used preconditioned Krylov subspace methods to solve the resulting linear systems. Results: Numerical experimental results are performed to compare the different preconditioners. Conclusion: … …Journal of Mathematics and Statistics, Vol. 7, Issue 4 · 14 Sep 2011 · 7,063 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Modified Key Partitioning for BigData Using MapReduce in HadoopGothai Ekambaram, Balasubramanie PalanisamyIn the period of BigData, massive amounts of structured and unstructured data are being created every day by a multitude of ever-present sources. BigData is complicated to work with and needs extremely parallel software executing on a huge number of computers. MapReduce is a current programming model that makes simpler writing distributed applications which manipulate BigData. In order to make … …Journal of Computer Science, Vol. 11, Issue 3 · 15 Apr 2015 · 6,858 accessesView PDFCite
Research ArticleOpen accessIn the abstractGAUSSIAN COPULA MARGINAL REGRESSION FOR MODELING EXTREME DATA WITH APPLICATIONSutikno, Heri Kuswanto, Iis Dewi RatihRegression is commonly used to determine the relationship between the response variable and the predictor variable, where the parameters are estimated by Ordinary Least Square (OLS). This method can be used with an assumption that residuals are normally distributed (0, σ2). However, the assumption of normality of the data is often violated due to extreme observations, which are often found … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 4 Apr 2014 · 7,620 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Clock Tree Synthesis Under Stochastic Process Variation Modeling for Multi-FPGA SystemsKarthik Thirumalai Sampath, Jawahar Senthil Kumar VeerabadranIn this age of scientific computing, the experiment models and evaluation is a commonly employed rendition of the simulation methods. In addition to the optimality, the methods which depict underlying uncertainty in process variation. It is accomplished by adjusting number of samples on delay and wire width. Here addresses the thermal profile, if temperature gradually increases, also reduce worst case … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 29 Oct 2013 · 6,510 accessesView PDFCite
Research ArticleOpen accessIn the abstractMinimization of ℓ2-Norm of the KSOR OperatorA. I. Alzaki, I. K. YoussefWe consider the problem of minimizing the ℓ2-norm of the KSOR operator when solving a linear systems of the form AX = b where, A = I +B (TJ = -B, is the Jacobi iteration matrix), B is skew symmetric matrix. Based on the eigenvalue functional relations given for the KSOR method, we find optimal values of the relaxation parameter … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 8 Jan 2013 · 7,083 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Quasi Delay Insensitive Reduced Stack Pre-Charged Half Buffer based High Speed Adder using pipeline templates for Asynchronous CircuitsD. Jayanthi, M. RajaramProblem statement: Recent research in asynchronous design technique is making asynchronous circuits an increasingly practical alternative. These challenges include the increasing pressure for low power, the growing challenges of predicting the increasing impact of wire load and delay and the performance penalty associated with supporting communication between different clock domains Asynchronous is binary signals, but there is no common or … …Journal of Computer Science, Vol. 8, Issue 7 · 7 Jun 2012 · 7,078 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling and Forecasting Volatility of the Malaysian Stock MarketsAhmed Shamiri, Zaidi IsaProblem statement: One of the main purposes of modeling variance is forecasting, which is crucial in many areas of finance. Despite the burgeoning interest in and evaluation of volatility forecasts, a clear consensus on witch volatility model/or distribution specification to use has not yet been reached. Therefore, the out of-sample forecasting ability should be a natural model selection criterion for … …Journal of Mathematics and Statistics, Vol. 5, Issue 3 · 30 Sep 2009 · 7,900 accessesView PDFCite
Research ArticleOpen accessIn the abstractProbabilistic Artificial Neural Network For Recognizing the Arabic Hand Written CharactersKhalaf khatatneh, Ibrahiem M.M. El Emary, Basem Al-RifaiThe objective of this study was to present a new technique assists in developing a recognition system for handling the Arabic Hand Written text. The proposed system is called Arabic Hand Written Optical Character Recognition (AHOCR). AHOCR was concerned with recognition of hand written Alphanumeric Arabic characters. In the present work, extracted characters are represented by using geometric moment invariant … …Journal of Computer Science, Vol. 2, Issue 12 · 31 Dec 2006 · 6,911 accessesView PDFCite