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8 results for “categorical variables”
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Research ArticleOpen accessIn the keywordsDetection of Aberrant Data Points for an effective Effort Estimation using an Enhanced Algorithm with Adaptive FeaturesS. Malathi, S. SridharProblem statement: The spiraling growth of IT industry has witnessed an unprecedented change in the software development paradigm, from algorithmic models to machine learning techniques. At present, there are no standard methods to predict the accuracy of software cost estimation, which is an important goal of the software community. Approach: This study proposes a simple and systematic algorithmic procedure for … …Journal of Computer Science, Vol. 8, Issue 2 · 21 Nov 2011 · 7,094 accessesView PDFCite
Research ArticleOpen accessIn the abstractParameter-Expanded Data Augmentation for Analyzing Nominal Data With Missing Values Using Multinomial Probit ModelsSuwash Silwal, Xiao ZhangNominal data occur in many scientific fields, such as health-related studies, transportation, and econometrics. Due to the ubiquitousness of missing data, it is inevitable to analyze nominal data with missing values. As is well known, statistical methods for analyzing nominal variables are quite limited. The Multinomial Probit (MNP) model has been an essential tool for analyzing nominal categorical data, but … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 23 May 2026 · 1,804 accessesView PDFCite
Research ArticleOpen accessIn the abstractEcological Function Evaluation of Soil and Water Conservation Measures for Power Transmission and Transformation Project Construction Based on Remote Sensing and it’s Improvement PathYang Han, Songsong Wang, Yanhui Yang et al.Assessing ecological functions is critical for determining the efficacy of soil and water conservation measures, especially during the development of power transmission and transformation projects. Efficient conservation practices are essential for reducing ecological effects and guaranteeing sustainable development. This research aims to create a resilient model, Ecological Function Prediction for Conservation Effectiveness (EFP-CE) that will classify conservation effectiveness as either … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 17 Mar 2025 · 7,725 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuel Prediction Model for Driving Patterns Using Machine Learning TechniquesManjunath TK, Ashok Kumar PSIn recent years, the demand for fuel efficiency has become a crucial aspect of the automotive industry. Predicting fuel economy accurately is essential for optimizing vehicle performance and reducing environmental impact. This proposed model presents a machine learning-based approach for developing a fuel prediction model using the real dataset. The model aims to predict fuel efficiency for different drivers by … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,480 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Mothers Knowledge Regarding the Developmental Milestone among Children Under Two Years in IraqLujain Anwar Alkhazrajy, Enas Rifaat Salah AldeenAssessing a child's growth through the observation of his/her developmental milestone requires a team effort, in which family plays an important role. To assess the knowledge of the Iraqi mothers regarding their children’s developmental milestones of their children and to find out if there was any association between this knowledge and certain demographic variables. A cross sectional study, that extended … …American Journal of Applied Sciences, Vol. 14, Issue 9 · 28 Sep 2017 · 8,831 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of the Propensity to Fruit Consumption among Young People through the Cumulative Proportional Odds ModelMaurizio Lanfranchi, Carlo Giannetto, Angela Alibrandi, Agata ZirilliAfter in-depth studies, the World Health Organization (WHO), asserts and suggests that in order to improve human health and well-being it is necessary to eat 400 grams of fruit and vegetables on a daily basis, as well as to consume potatoes and other starchy tubers such as manioc. In Europe, recommendations vary from country to country. Generally, these suggestions are … …American Journal of Applied Sciences, Vol. 12, Issue 8 · 4 Sep 2015 · 6,580 accessesView PDFCite
Research ArticleOpen accessIn the abstractHEURISTIC DISCRETIZATION METHOD FOR BAYESIAN NETWORKSMariana D.C. Lima, Silvia M. Nassar, Pedro Ivo R.B.G. Rodrigues et al.Bayesian Network (BN) is a classification technique widely used in Artificial Intelligence. Its structure is a Direct Acyclic Graph (DAG) used to model the association of categorical variables. However, in cases where the variables are numerical, a previous discretization is necessary. Discretization methods are usually based on a statistical approach using the data distribution, such as division by quartiles. In … …Journal of Computer Science, Vol. 10, Issue 5 · 18 Jan 2014 · 7,054 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermining Relationships Among the Adoption Parameters of Computers and Internet in Agriculture: An Application of Probit ModelAnastasios MichailidisThe main reason for carrying out this study was to determine possible relationships among several adoption parameters of computer use, internet usage and internet access in agriculture. The key options for determining relationships (apart from non-parametric correlation techniques) are canonical correlation analysis, probit models and logit models. Canonical correlation analysis is generally seen as a weaker statistical technique than probit … …Journal of Social Sciences, Vol. 2, Issue 4 · 31 Dec 2006 · 7,524 accessesView PDFCite