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245 results for “Data mining”
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Research ArticleOpen accessIn the abstractReal-Time Simulation Method Using Monte Carlo and Clustering Algorithms: A Case Study Covering Drill Bit WearRodolfo Wilvert Reitz, Paulo José de Freitas FilhoMinimization of the cost of drilling an oil well is primarily achieved by reducing the operation completion time, which in turn can be achieved by increasing the Rate of Penetration (ROP). The ROP is the result of a combination of factors, such as lithological formation, operational parameters and bit wear. This paper addresses bit wear during drilling, using a method … …Journal of Computer Science, Vol. 14, Issue 2 · 27 Feb 2018 · 8,210 accessesView PDFCite
Literature ReviewOpen accessIn the abstractEfficient Morphometric Techniques in Alzheimer’s Disease Detection: Survey and ToolsVinutha N., P. Deepa Shenoy, K.R. VenugopalThe development of advance techniques in the multiple fields such as image processing, data mining and machine learning are required for the early detection of Alzheimer’s Disease (AD) and to prevent the progression of the disease to the later stages. The longitudinal and cross sectional images of elderly subjects were obtained from the standard datasets like ADNI, OASIS, MIRIAD and … …Neuroscience International, Vol. 7, Issue 2 · 4 Oct 2017 · 8,450 accessesView PDFCite
Research ArticleOpen accessIn the abstractAccessing the Appropriateness of a Spatial Regression Using Generalized (h1h2-)Slepian Random FieldWayan Somayasa, Jamhir Safani, La Ode Ngkoimani, Muhamad Zamrun F.In this study we derived asymptotic goodness-of-fit test (model check) for spatial regression where the critical region as well as the p-value of the tests are approximated based on the distribution of a type of the integral functional of the generalized (h1h2-)-Slepian field and the set-indexed Gaussian white noise. Such random fields are obtained as the limit process of the … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 2 May 2017 · 7,362 accessesView PDFCite
Research ArticleOpen accessIn the abstractDISTINGUISHABILITY BASED WEIGHTED FEATURE SELECTION USING COLUMN WISE K NEIGHBORHOOD FOR THE CLASSIFICATION OF GENE MICROARRAY DATASETJeyachidra, PunithavalliIn data mining, much research is being carried out to discover the previously unknown, valid, novel, useful and understandable patterns in large databases. The patterns must be actionable so that they might be used for decision making to a variety of applications in healthcare. In this study, feature subset selection is an important area, where many approaches have been proposed. … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 13 Nov 2013 · 6,794 accessesView PDFCite
Research ArticleOpen accessIn the abstractNon Functional Requirement Traceability Automation-an Mobile Multimedia ApproachM. Rajaram, J. SelvakumarRequirements Engineering (RE) is the area of software engineering that deals with the discovery and specification of the objectives for the system under development and the environment in which it is used including the human activities it supports. Requirement Elicitation is process of gathering requirements from stakeholders. Incorporating RE to identify non Functional Requirements (NFR) in early stages of design … …Journal of Computer Science, Vol. 8, Issue 11 · 7 Sep 2012 · 6,923 accessesView PDFCite
Research ArticleOpen accessIn the abstractCircumventing Picture Archiving and Communication Systems Server with Hadoop Framework in Health Care ServicesGopinath Ganapathy, S. SagayarajProblem statement: Features and challenges of the PACS server solutions are elaborated in the context of large scale computing. Approach: Hadoop is a pivotal piece of the data mining renaissance offers the ability to tackle large data sets in ways that weren’t previously feasible and clarifies certain functionalities such as MapReducer and Hadoop distributed file system. Results: The PACS server … …Journal of Social Sciences, Vol. 6, Issue 3 · 30 Sep 2010 · 8,088 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Smooth Support Vector Machine and Its Applications in Diabetes Disease DiagnosisSanti Wulan Purnami, Abdullah Embong, Jasni Mohd Zain, S. P. RahayuProblem statement: Research on Smooth Support Vector Machine (SSVM) is an active field in data mining. Many researchers developed the method to improve accuracy of the result. This study proposed a new SSVM for classification problems. It is called Multiple Knot Spline SSVM (MKS-SSVM). To evaluate the effectiveness of our method, we carried out an experiment on Pima Indian diabetes … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 7,587 accessesView PDFCite
Research ArticleOpen accessIn the abstractPetrography and Sulphur Isotope Studies of Pyrites in the Muteh Gold DepositM. J. Abdollahi, M. H. Karimpour, A. KheradmandProblem statement: The Muteh mining district is located in 70 km northeast of Golpaygan city within the Sanandaj-Sirjan metamorphic belt. There are 2 gold mines, 7 gold occurrences and numerous mineral indices in the Muteh gold district. There are few researches on Muteh gold district, but a detailed model is not clear yet. The aim of this study is to … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 7,131 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmall Business Critical Success/Failure Factors In Developing Economies: Some Evidences From BotswanaZelealem T. Temtime, J. PansiriAlthough the discovery of diamond has propelled Botswana from one of the poorest countries in 1966 to its current economic status as a middle-income country, the country still faces the problems of economic diversification, employment creation, income generation and distribution and poverty alleviation. Governmental and non- Governmental organizations have put many efforts on the development of small and medium Enterprises … …American Journal of Applied Sciences, Vol. 1, Issue 1 · 31 Mar 2004 · 9,322 accessesView PDFCite