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For this reason, it is the view of the writer that further research needs to be carried out to explore the potential of combining several of these algorithms to solve machine learning problems. 474 0 obj <>stream 0000005327 00000 n /A Strikers FC Academy is focused on football development for players in Ghana and across Africa. /FontDescriptor 38 0 R /Border [0 0 0] SAS Institute, North Carolina, USA. 0000041774 00000 n Enter the email address you signed up with and we'll email you a reset link. 387 0 obj <> endobj

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Top 10 algorithms in data mining.

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Power utility nontechnical loss analysis with extreme learning machine method. /epkuT~"ZH0@!| 3(@E2C6:c Academia.edu no longer supports Internet Explorer. /D [null /XYZ 89.291 499.347 null]

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International Journal of Computer Applications, 11(2): 23-30.

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Survey of nearest neighbor techniques. Cambridge University Press, London, UK.

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Neelamegam S and Ramaraj E (2013). 0000041433 00000 n Introduction to machine learning.

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Wu X, Kumar V, Quinlan JR, Ghosh J, Yang Q, Motoda H, and Zhou ZH (2008).

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This paper examines the various types of classification algorithms in Data Mining, their applications and categorically states the strengths and limitations of each type.

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Friedman N and Goldszmidt M (1996).

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), European conference on computer vision: 71-84. /Subtype /Link

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Managing algorithmic risks.

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We groom talented players with the right technical, tactical and mental skills to enable them to compete as professional players at the highest level in football anywhere. /D [null /XYZ 89.291 214.814 null] /A Decision tree induction: An approach for data classification using AVL-tree.

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