Data mining techniques and applications — A decade review
Hussain Ahmad Madni, Zahid Anwar, Munam Ali Shah · 2017
Data mining is also known as Knowledge Discovery in Database (KDD). It is also defined as the process which includes extracting the interesting, interpretable and useful information from the raw data. There are different sources that generate raw data in very large amount. This is the main reason the applications of data mining are increasing rapidly. This paper reviews data mining techniques and its applications such as educational data mining (EDM), finance, commerce, life sciences and medical etc. We group existing approaches to determine how the data mining can be used in different fields. Our categorization specifically focuses on the research that has been published over the period 2007-2017. With this categorization, we present an easy and concise view of different models adapted in the data mining.