Journals Information
Universal Journal of Management Vol. 3(1), pp. 29 - 35
DOI: 10.13189/ujm.2015.030105
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DRIP 鈥� Data Rich, Information Poor: A Concise Synopsis of Data Mining
Muhammad Obeidat 1, Max North 1,*, Lloyd Burgess 1, Richard Parker 1, Sarah North 2
1 Management Information Systems, Visualization and Simulation Research Center, Business Administration Department, Southern Polytechnic State University, Marietta, GA 30060, USA
2 Computer Science Department, College of Science and Mathematics, Kennesaw State University, Kennesaw, GA 30144, USA
ABSTRACT
As production of data is exponentially growing with a drastically lower cost, the importance of data mining required to extract and discover valuable information is becoming more paramount. To be functional in any business or industry, data must be capable of supporting sound decision-making and plausible prediction. The purpose of this paper is concisely but broadly to provide a synopsis of the technology and theory of data mining, providing an enhanced comprehension of the methods by which massive data can be transferred into meaningful information.
KEYWORDS
Data Mining, Massive Data
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Muhammad Obeidat , Max North , Lloyd Burgess , Richard Parker , Sarah North , "DRIP 鈥� Data Rich, Information Poor: A Concise Synopsis of Data Mining," Universal Journal of Management, Vol. 3, No. 1, pp. 29 - 35, 2015. DOI: 10.13189/ujm.2015.030105.
(b). APA Format:
Muhammad Obeidat , Max North , Lloyd Burgess , Richard Parker , Sarah North (2015). DRIP 鈥� Data Rich, Information Poor: A Concise Synopsis of Data Mining. Universal Journal of Management, 3(1), 29 - 35. DOI: 10.13189/ujm.2015.030105.