24 results for “categorical data”

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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 PDF Cite

Research ArticleOpen accessIn the abstractSecured Disclosure of Sensitive Data in Data Mining TechniquesKirubhakar Gurusamy, Venkatesh ChakrapaniRecent advances in data collection, data dissemination and related technologies have inaugurated a new era of research where existing data mining algorithms should be reconsidered from the point of view of securing sensitive data. People have become increasingly unwilling to share their data. This frequently results in individuals either refusing to share their data or providing incorrect data. In turn, … …Journal of Computer Science, Vol. 8, Issue 12 · 18 Dec 2012 · 6,482 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCharacteristics and Determinants of Primary Dysmenorrhea in Young AdultsShabnam Omidvar, Khyrunnisa BegumProblem statement: Dysmenorrhea is believed to be on rise affecting activities of women adversely. It was considered worthwhile to identify risk factors for dysmenorrhea, since such information is useful in designing management process. Approach: A Cross-sectional study was conducted on 500 healthy females aged 18-28 years. Standardized Self-reporting questionnaires were used to obtain relevant data. The categorical data was analyzed … …Current Research in Medicine, Vol. 3, Issue 1 · 25 Jan 2012 · 11,821 accessesView PDF Cite

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 PDF Cite