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63 results for “missing data”
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Research ArticleOpen accessIn the abstractMissing Values Treatment and Feature Reduction Analysis to Enhance ClassificationD. Muralidharan, K. Renuka, Mulagala Jaswant et al.Datasets may have large number of features which makes it hard and time consuming to classify. Additionally, they may have irrelevant and noise features too with missing values. The missing values should be treated in a proper way so that the classifier accuracy can be improved. There is also a need to reduce features and select only the features necessary … …Journal of Computer Science, Vol. 16, Issue 2 · 20 Feb 2020 · 8,114 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Method for Online Learning of Bayesian Network ParametersMariana D.C. Lima, Silvia M. NassarIn learning problems, there are situations where training data is not fully available at the learning time. They are incrementally generated by time, defining a type of domain called online that has among its characteristics the possibility of data failure or even missing data. In Bayesian networks, learning is divided into two categories: structure (related to the graph of conditional … …Journal of Computer Science, Vol. 15, Issue 3 · 16 Mar 2019 · 7,498 accessesView PDFCite
Research ArticleOpen accessIn the abstractLogic and the Mathematic Model of the Subject-Area Description for Corporate Information SystemsKonstantin Yurievich Maslenikov, Georgiy Ivanovich RevunkovAiming to build and receive a logic-mathematical substantiation and model of the process of constructing the description of any subject area for corporate information systems, the authors divided the subject area for building the system into constituent elements and the relationships between them. Using discrete mathematics methods to the graphs and two-seater predicates of the first order, we built an … …Journal of Computer Science, Vol. 18, Issue 1 · 2 Feb 2022 · 6,580 accessesView PDFCite
Research ArticleOpen accessIn the abstractRole of Web Usability in Online Customer Experience: A Case of Saudi ArabiaSaqib SaeedSaudi Arabia is an emerging online target market and many business organizations are focusing on this potential market to increase their revenues. Business organizations need to develop online value propositioning to attract different customer segments. Usability of e-business portals is an important factor for online customer retention. In this research, we have conducted the usability evaluation of some selected websites … …Journal of Computer Science, Vol. 15, Issue 5 · 30 May 2019 · 8,009 accessesView PDFCite
Research ArticleOpen accessIn the abstractLevel of Non-Matching Primary Transplant Cases According to Repeat Transplants Cases and a New Bivariate Poisson DistributionRamalingam ShanmugamIn their practice, healthcare administrators and professionals often wonder about the non-matching level organs in transplants for the sake of future forecasting. Currently, there is no appropriate methodology to analyze the pertinent transplant data and describe the patterns. The lack of a suitable methodology in the literature originates from an incorrect impression that the primary transplant cases and the repeat … …Current Research in Medicine, Vol. 8, Issue 1 · 10 Jul 2017 · 9,151 accessesView PDFCite
Research ArticleOpen accessIn the abstractHigh Precision Latent Semantic Evaluation for Descriptive Answer AssessmentAmarjeet Kaur, M. Sasi KumarThis paper proposes an approach to evaluate student’s descriptive answers, using comparison-based approach in which student’s answer is compared with the standard answer. The standard answers contains domain specific knowledge as per the category (how, why, what, etc.) of questions asked in the examination. Several state-of-art claims that LSA correlates with the human assessor’s way of evaluation. With this as … …Journal of Computer Science, Vol. 14, Issue 10 · 17 Oct 2018 · 7,253 accessesView PDFCite
Review ArticleOpen accessIn the abstractNew Researches Examines the Wing Shapes to Reduce Vortex and WakeNicolae Petrescu, Raffaella Aversa, Antonio Apicella, Florian Ion Tiberiu PetrescuIt is common to see clouds in the form of the sky, known as contrails, which are behind the engines of a reaction plan. What is not always visible is a wind whirl that comes out of the top of each wing - like two small horizontal tornadoes - leaving behind a turbulent awakening behind the vehicle. Awakening is a … …Journal of Aircraft and Spacecraft Technology, Vol. 2, Issue 1 · 19 Jun 2018 · 7,416 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiagnosis of Hepatitis Disease with Logistic Regression and Artificial Neural NetworksAlaa M. Elsayad, Ahmed M. Nassef, Mujahed Al-DhaifallahHepatitis C refers to the inflammatory state of the liver caused by viruses, bacteria, fungi, and exposure to toxins such as alcohol and self-immunity. The diagnosis requires investigating many laboratory tests and comparing the results to those of the former patients with the same conditions. This study presents the results of our experiments to build a hybrid system that combines … …Journal of Computer Science, Vol. 16, Issue 3 · 27 Mar 2020 · 7,466 accessesView PDFCite
Research ArticleOpen accessIn the abstractPiecewise Positivity Preserving Cubic Bezier Interpolation for Estimating Solar Radiation Missing Value in Penang, MalaysiaAzizan Saaban, Mohd Lutfi Zainudin, Mohd Nazari Abu BakarComplete solar radiation data is important in variety of disciplines such as solar radiation development system or solar project which is strongly affected by hourly variation of the solar radiation. However, the available data may contain missing data for several days in the absence of measurement due to several factors such as instrument failure and human errors. In this study, … …Journal of Mathematics and Statistics, Vol. 12, Issue 4 · 28 Dec 2016 · 7,119 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Inferences of the Rest Lifetimes of Ball Bearings' Residual Lifetimes Based on Rayleigh Residual Type II Censored DataGhassan K. Abufoudeh, Omar M. Bdair, Raed R. Abu AwwadIn this study, we consider statistical inference problems for the residual life data that come from the Rayleigh model based on type II censored data. Maximum likelihood and Bayesian approaches are used to estimate the scale and location parameters for the Rayleigh model, the Gibbs sampling procedure is used to draw Markov Chain Monte Carlo (MCMC) samples and MCMC samples … …Journal of Mathematics and Statistics, Vol. 12, Issue 3 · 1 Aug 2016 · 7,161 accessesView PDFCite