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Data Mining Techniques and Applications: A Ten-Year Update

Data Mining Techniques and Applications: A Ten-Year Update

Nayem Rahman
Copyright: © 2018 |Volume: 9 |Issue: 1 |Pages: 20
ISSN: 1947-3095|EISSN: 1947-3109|EISBN13: 9781522545286|DOI: 10.4018/IJSITA.2018010104
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MLA

Rahman, Nayem. "Data Mining Techniques and Applications: A Ten-Year Update." IJSITA vol.9, no.1 2018: pp.78-97. http://doi.org/10.4018/IJSITA.2018010104

APA

Rahman, N. (2018). Data Mining Techniques and Applications: A Ten-Year Update. International Journal of Strategic Information Technology and Applications (IJSITA), 9(1), 78-97. http://doi.org/10.4018/IJSITA.2018010104

Chicago

Rahman, Nayem. "Data Mining Techniques and Applications: A Ten-Year Update," International Journal of Strategic Information Technology and Applications (IJSITA) 9, no.1: 78-97. http://doi.org/10.4018/IJSITA.2018010104

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Abstract

Data mining has been gaining attention with the complex business environments, as a rapid increase of data volume and the ubiquitous nature of data in this age of the internet and social media. Organizations are interested in making informed decisions with a complete set of data including structured and unstructured data that originate both internally and externally. Different data mining techniques have evolved over the last two decades. To solve a wide variety of business problems, different data mining techniques are developed. Practitioners and researchers in industry and academia continuously develop and experiment varieties of data mining techniques. This article provides an overview of data mining techniques that are widely used in different fields to discover knowledge and solve business problems. This article provides an update on data mining techniques based on extant literature as of 2018. That might help practitioners and researchers to have a holistic view of data mining techniques.

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