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102 results for “decision problems”
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Review ArticleOpen accessIn the abstractHealthcare Driven by Big Data AnalyticsCheryl Ann Alexander, Lidong WangText messages and social network posts are often included in big data and are frequently invaluable sources of health data. When machine learning or data mining is used, it is important to perform an automatic process for integrating all available and related health data. Artificial Neural Network (ANN) is one of the machine learning methods flexible in using algorithms to … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 3 · 28 Sep 2018 · 7,403 accessesView PDFCite
Review ArticleOpen accessIn the abstract"Ebola Ça Suffit!" is not enough to Prove Efficacy of an Ebola VaccineDavid R CroweA recently published Ebola vaccine trial claimed an almost perfect result with no cases of Ebola after the vaccine had time to take effect - a vaccine efficacy of 100%. This article is a detailed review of the information published about the trial and, particularly, this claim. The trial design was sub-optimal because randomization was only partial (and one treatment … …American Journal of Immunology, Vol. 13, Issue 3 · 8 Jul 2017 · 17,832 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrated Multiple Linear Regression-One Rule Classification Model for the Prediction of Stock Price TrendLock Siew Han, Md Jan NordinOne of the main problems of predicting stock price with regression approach is overfitting a model. An overfit model becomes tailored to fit the random noise in the dataset rather than reflecting the overall population. For this it is necessary to construct an integrated regression-classification model to approximate the true model for the entire population in the dataset. The proposed … …Journal of Computer Science, Vol. 13, Issue 9 · 18 May 2017 · 7,428 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Effect of Clinical Nurse Mentors Assigned to Nursing Students upon Level of Satisfaction Regarding Clinical Teaching-Learning ProcessJayalakshmi N., Shobha Naidu, Kevin Christian, Sanopant JoshiMentoring is an important teaching-learning process in undergraduate nursing Curricula. A Quasi experimental one group pretest and post test design was conducted on 30 students of 1st and 2nd Year B.Sc Nursing from Symbiosis College of Nursing, Pune to evaluate the effect of Clinical Nurse Mentors. Non-Probability Random Sampling was used to select the students. The study was undertaken over … …International Journal of Research in Nursing, Vol. 7, Issue 1 · 28 Sep 2016 · 7,331 accessesView PDFCite
Research ArticleOpen accessIn the abstractA MODIFIED ELLIPTIC CURVE DIGITAL SIGNATURE ALGORITHM FOR PUBLIC VERIFIABILITY WITH DATA DYNAMICS IN CLOUD COMPUTINGD. Sumathi, Ramachandra V. PujeriCloud storage is considered to be the most critical factor in decision making for users as it largely scales down the infrastructure in terms of size, cost and design. Considering factors such as local storage cost, maintenance a single server model can support multiple users on a needed basis. This raises concerns for integrity verification i.e., assuring the correctness of … …Journal of Computer Science, Vol. 10, Issue 10 · 28 Jun 2014 · 6,489 accessesView PDFCite
Research ArticleOpen accessIn the abstractGENETIC-BASED NUTRITION RECOMMENDATION MODELS. A.A. Fayoumi, A. A. Hegazy, M. A. BelalEvolutionary computing is the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. These techniques are being widely applied to a variety of problems in many vital fields. Also, Evolutionary Algorithms (EA) which applied the principles of Evolutionary computations, such as genetic algorithm, particle swarm, ant colony and … …Journal of Computer Science, Vol. 10, Issue 9 · 24 Apr 2014 · 6,857 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN ALGORITHM FOR MINING USABLE RULES USING A HOLISTIC SWARM BASED APPROACHVeenu Mangat, Renu VigEvolutionary algorithms are capable of finding near optimal solutions to problems which are intractable to solve using conventional methods. One such problem is to accurately classify patients using rule mining methodology while controlling the size of output rules. A massive amount of data pertaining to medicine is generated and recorded daily. Uncovering useful knowledge and assisting decision makers in the … …Journal of Computer Science, Vol. 10, Issue 4 · 9 Dec 2013 · 6,671 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombined Pattern Mining for D3M Using FuzzyS. S. Dhenakaran, S. MaheswariMany algorithms and models were developed but the findings are not actionable and lack of soft power while solving the complex problems. Domain Driven Data mining is used a major efforts to promote the action ability of the knowledge discovery in the real world smart decision making. Combined mining is one of the common methods for analyzing complex data for … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 1 Nov 2013 · 6,754 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnt Colony Optimization for Container Loading ProblemC. N. Yap, L. S. Lee, Z. A. Majid, H. V. SeowProblem statement: The Container Loading Problem (CLP) considers packing a subset of given rectangular boxes into a rectangular container of fixed dimensions in the most optimum way. This was very important in the logistics industries and warehousing problems, since the cost can be reduced by increasing the space utilization ratio. Approach: This problem was solved in a two-phased Ant Colony … …Journal of Mathematics and Statistics, Vol. 8, Issue 2 · 20 Mar 2012 · 8,563 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Model for Traffic Safety ApplicationsG. Nagappan, C. ChellappanProblem statement: This study presents an analysis on road traffic system focused on the use of communications to detect dangerous vehicles on roads and highways and how it could be used to enhance driver safety. Approach: The intelligent traffic safety application model is based on all traffic flow theories developed in the last years, leading to reliable representations of road … …Journal of Computer Science, Vol. 8, Issue 3 · 14 Jan 2012 · 6,727 accessesView PDFCite