A Study of the Factors Considered when Choosing an Appropriate Data Mining Algorithm
Teressa T. Chikohora
Teressa T. Chikohora, Department of Software Engineering, Faculty Of Computing, Botho University, P. Bag F451Francistown, Botswana
Manuscript received on June 25, 2014. | Revised Manuscript received on July 03, 2014. | Manuscript published on July 05, 2014. | PP: 42-45 | Volume-4, Issue-3, July 2014. | Retrieval Number: C2270074314 /2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A lot of data is generated and collected in today’s organizations .Data mining has helped a lot of businesses to extract knowledge from data and use it to make decisions and gain competitive advantage. Businesses now analyse the data to make business decisions. Various algorithms may be used to analyse the data, however some of them do not yield useful knowledge. Choosing the appropriate algorithm remains a problem given the diversity in available algorithms. There are many algorithms, making it difficult for analysts and researchers who may not know which algorithm will be suitable for their needs. As a way of optimizing the chances of extracting useful knowledge, this study focuses on how the data analysts and researchers may choose appropriate algorithms that will yield desired knowledge. A number of factors to be considered when selecting an algorithm are discussed to help analysts in choosing appropriate algorithms.
Keywords: Algorithm, factors, tool, data mining