Theoretical factors underlying data mining techniques in developing countries: a case of Tanzania

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dc.contributor.authorDiwani, Salim Amour
dc.contributor.authorSam, Anael
dc.date.accessioned2023-10-12T12:23:29Z
dc.date.available2023-10-12T12:23:29Z
dc.date.issued2014
dc.descriptionAbstract. Full text article. Also available at https://tinyurl.com/yc7xye7cen_US
dc.description.abstractJust as the mining of Tanzanite is the process of extracting large block of hard rock's by using sophisticated hard rock mining techniques to find valuable tanzanite glamour, data mining is the process of extracting useful information or knowledge from large un-organized data to enable effective decision making. Although data mining technology is growing rapidly, many IT experts and business consultants may not have a clue about the term. The purpose of this paper is to introduce data mining techniques, tools, a survey of data mining applications, data mining ethics and data mining process.en_US
dc.identifier.citationDiwani, S. A., & Sam, A. (2014). Theoretical Factors underlying Data Mining Techniques in Developing Countries: a case of Tanzania.Advances in Computer Science: an International Journal, Vol. 3, Issue 1.en_US
dc.identifier.otherURL: https://tinyurl.com/yc7xye7c
dc.identifier.urihttp://hdl.handle.net/20.500.12661/4141
dc.language.isoenen_US
dc.publisherAdvances in Computer Science: an International Journalen_US
dc.subjectNaive bayesen_US
dc.subjectLogit transformen_US
dc.subjectLADtreeen_US
dc.subjectDecisionstumpen_US
dc.subjectData miningen_US
dc.subjectKnowledge discoveryen_US
dc.subjectData mining techniquesen_US
dc.subjectDeveloping countriesen_US
dc.titleTheoretical factors underlying data mining techniques in developing countries: a case of Tanzaniaen_US
dc.typeArticleen_US
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