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84 results for “Mining area”
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Research ArticleOpen accessIn the abstractEvaluation of the Stability of Underground Rock Pillars through a Probabilistic ApproachMassimo Guarascio, Pierpaolo OresteProblem statement: When the room and pillar mining method is adopted, the dimensioning of the rock pillars is one of the most important aspects that need to be faced from the engineering point of view. The available calculation methods are usually simplified and involve the areas of influence method for the evaluation of the mean axial stress induced in the … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 30 Jun 2012 · 7,034 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Performance of Multivariate Bernoulli Model based Documents Clustering Algorithms using Transformation TechniquesPerumal Pitchandi, Nedunchezhian RajuProblem statement: Document clustering is the most important areas of data mining since they are very much and currently the subject of significant global research since such areas strengthen the enterprises of web intelligence, web mining, web search engine design and so forth. Generative models based on the multivariate Bernoulli and multinomial distributions have been widely used for text classification. … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,284 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Classification of Techniques for Web Usage AnalysisHaider Ramadhan, Muna Hatem, Zuhoor Al-Khanjri, Swamy KuttiTechniques which assist in recognizing various access patterns and interests of the Web users are normally referred to as an application of Web usage mining. The application provides useful insights to address crucial points such as user interests into a particular page, server load balancing, Web site reorganization, clustering of similar browsing patterns, classification of user profiles, content caching or … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,790 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrediction and Remediation of Water Quality in Monitoring Potential of Acid Mine DrainageNur Athirah Mohamad Basir, Wan Zuhairi Wan Yaacob, Nuur Hani Mohammed et al.Acid Mine Drainage (AMD) associated with both active and abandoned mining operations related to sulfide minerals, oxidation of pyrite affording an acidic solution that contains toxic metal ions. Result shows that pH value of water in Kg. Aur, Chini and Sg. Lembing are acidic with value of 2.81, 4.16 and 3.60 respectively. Maximum concentrations of heavy metals in the study … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 2 · 24 May 2019 · 7,014 accessesView PDFCite
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
Research ArticleOpen accessIn the abstractGEOPHYSICAL AND LABORATORY STUDIES OF THE SPREAD AND QUALITY OF THE ODUKPANI LIMESTONE DEPOSITT. E. Chidomerem, A. E. Akpan, I. O. AkpanThe Odukpani limestone deposit has been investigated using geophysical and laboratory techniques with the aim of generating information on its spread and quality. Information generated from the analyses of twenty-six Vertical Electrical Soundings (VES) and core drilling data were used in the study. The VES data were acquired in both grid and random patterns in the immediate area of the … …American Journal of Environmental Sciences, Vol. 10, Issue 4 · 20 Jun 2014 · 7,102 accessesView PDFCite
Research ArticleOpen accessIn the abstractIMAGE RETRIEVAL USING CERTAIN BLOCK BASED DIFFERENCE OF INVERSE PROBABILITY AND CERTAIN BLOCK BASED VARIATION OF LOCAL CORRELATION COEFFICIENTS INTEGRATED WITH WAVELET MOMENTSB. Thenkalvi, S. MurugavalliContent Based Image Retrieval (CBIR) is an evolving topic under image processing. Retrieval on medical images plays a vital role in saving mankind. Medical Content Based Image Retrieval (MCBIR) does not stop its work in displaying similar images; it also goes one step further for diagnosis to decide the method of therapy by comparing the query image and database image. … …Journal of Computer Science, Vol. 10, Issue 8 · 3 Apr 2014 · 6,981 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 · 6,801 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Leptobarbus hoevenii in Control Environment at Natural LakesMohd Khairul Amri Kamarudin, Mushrifah Idris, Mohd Ekhwan TorimanLeptobarbus hoevenii or its common name Ikan Jelawat is a high-value fish from family Cyprinidae, genus Leptobarbus are omnivorous fish that can grow up to 60 cm long. Due to human activities and the time change, this species has been depleted in Lake Chini. As an initiative from the Malaysian government, a conservation project for this species has been carried … …American Journal of Agricultural and Biological Sciences, Vol. 8, Issue 2 · 24 Jun 2013 · 8,217 accessesView PDFCite