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201 results for “model selection”
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Research ArticleOpen accessEvery word in the titleDecision Support Model for Employee Selection Based on Data Mining and Fuzzy LogicClarissa Elfira Amos Pah, Ditdit Nugeraha UtamaThis paper explains the use of data mining and fuzzy logic in optimizing decision making for employee recruitment, especially in IT Consultant company. This method addresses the company's need to recruit employees with more objective and accurate by utilizing historical data to find patterns of potential employees for the company. First, classification will be carried out using data mining to … …Journal of Computer Science, Vol. 16, Issue 5 · 4 Jun 2020 · 7,667 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimization Techniques for Variable Selection in Binary Logistic Regression Model Applied to Desire for Children DataS. K. Sarkar, Habshah MidiProblem statement: The population problem is the biggest problem in the world. In the global and regional context, Bangladesh population has drawn considerable attention of the social scientists, policy makers and international organizations. Bangladesh is now world’s 10th populous country having about 140 million people. The recent experience of Bangladesh shows that fertility can sustain impressive declines even when women’s … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 7,095 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Efficiency of Seven-Variable Box-Behnken Experimental Design with Varying Center Runs on Full and Reduced Model TypesMary Paschal Iwundu, Joan CosmosResponse Surface Methodology is widely used in the optimization of industrial processes and products that depend on several experimental variables. One of the most tested and efficient second-order Response Surface Methodology designs is the Box-Behnken Design. This research explores the efficiency of a seven-variable Box-Behnken design with varying center runs, on full and reduced quadratic models. Backward Elimination and Forward … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 8 Dec 2022 · 7,089 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSample Selection Analysis of Wage Equation for Women In Ondo State NigeriaSola Olorunfemi, Olorunsola E. OlowofesoThe study analysis wage equation for women in Ondo State Nigeria, in other to identify the determinant factors of their wages. Data collected from 250 women heads of households through a multi-stage random system technique were analyzed. In order to deal with the zero wage problem associated with those who did not work, various single – equation models were applied. … …Journal of Social Sciences, Vol. 3, Issue 3 · 30 Sep 2007 · 7,557 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Extended Version of the Fuzzy-Euclidean Intelligent Fitness Model (FEIFM) Implementation for Selecting Personal VehicleCalvin Chang, Edwin, Ditdit Nugeraha UtamaIndeed, intelligent model is a sub-domain in computer science that its purposes utilized in numerous pieces of reality. Particularly in case of automotive industry, to select the most appropriate personal vehicle is challenging for the customers. The challenge was taken as a main problem of this study. In this research, the reasonableness is characterized by the customer parameters which portray … …Journal of Computer Science, Vol. 15, Issue 8 · 9 Aug 2019 · 7,623 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA ROBUST OPTIMIZATION APPROACH FOR INDEX TRACKING PROBLEMMohsen Gharakhani, Forough Zarea Fazlelahi, S. J. SadjadiIndex tracking is an investment approach where the primary objective is to keep portfolio return as close as possible to a target index without purchasing all index components. The main purpose is to minimize the tracking error between the returns of the selected portfolio and a benchmark. In this study, quadratic as well as linear models are presented for minimizing … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Dec 2014 · 8,872 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Accuracy of MultiplesStauropoulos Antonios, Samaras Ioannis, Arsenos PanagiotisProblem statement: Equity valuation with the use of multiples is widely used by academics and practitioners concerning its functionality. This study aims to explore the sensitivity of three multiples in terms of accuracy. Approach: Price-to-Sales (P/S) multiple, the price-to-book value of equity (P/B) multiple and the Price-to-Earnings (P/E) multiple are three multiples under consideration, using both current and one-year-ahead earnings … …American Journal of Applied Sciences, Vol. 8, Issue 8 · 19 Jul 2011 · 6,830 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBayesian Exploration of Multilocus Interactions on the Genome-Wide ScaleIvan Kozyryev, Jing ZhangProblem statement: Recent technological and scientific advances propelled the field of Genome-Wide Association Study (GWAS), which promises to be instrumental in linking many common complex diseases to their genetic origin. While so far such large-scale surveys have been moderately successful in identifying disease related genetic variants, much of disease heritability is still not accounted for by the discovered loci. There … …Current Research in Bioinformatics, Vol. 1, Issue 1 · 2 Jul 2012 · 7,401 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Experimental Comparison Between Demand Systems of Major Food Groups in Urban EconomicsMahmoud Daneshvar Kakhki, Naser Shahnoushi, Fatemeh RezapourProblem statement: This study examined the eleven major food groups demand for urban areas of Iran during1361-1386. Approach: AIDS, ROTTERDAM, CBS and NBR models was compare together and Sur method was applied for estimating of systems, too. Results: Results of study showed cream and fresh fruits have smallest and largest income elasticity, respectively. Also, cream, bread, dairy, egg, fresh vegetables, … …American Journal of Applied Sciences, Vol. 7, Issue 8 · 31 Aug 2010 · 6,991 accessesView PDFCite
Research ArticleOpen accessIn the abstractPandemic Analysis and Preparedness Using a Three Layer Machine Learning ApproachArtika Singh, Manisha JailiaOutbreak analysis provides research-based information and data to enable scientific decision-making to manage an effective response to a pandemic. Pandemic analysis has its own set of challenges, such as limited data, the need for real time analysis, and the complexity of outbreak patterns. This study proposes a hybrid approach to manage such a spread through a 3-layer machine learning-based outbreak … …Journal of Computer Science, Vol. 22, Issue 11 · 15 Oct 2026 · 614 accessesView PDFCite