Data Mining Related Literature Review

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CHAPTER TWO REVIEW OF RELATED LITERATURE 2.1 Introduction Data mining applies advanced data analysis techniques to explore the data and identify useful and unexpected patterns and rules that provide relevant knowledge for predicting future outcomes. It can be defined as a process of exploring and analysing large amounts of data with a specific target on discovering significantly important patterns and rules. Data mining helps finding knowledge from raw, unprocessed data. Using data mining techniques allows extracting knowledge from the data mart, data warehouse and, in particular cases, even from operational databases ( I. Lungu and A. Bâra,2012). Data mining became a vital discovery process for various domains including business where data mining can be used in retail, banking or insurances, for purposes like customer segmentation, market basket analysis or fraud detection. It can also be applied in medicine, where it can help with diagnosis prognosis or treatment planning, bioinformatics, genetics, electrical power or astronomy. It is also applied in education where data mining can be used…show more content…
According to the Gartner Group (The world 's leading information technology research and advisory company), data mining is the process of discovering meaningful new correlations, patterns and trends by sifting through large amounts of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques(Larose, 2005). Therefore, the main purpose of data mining consists in applying advanced data analysis techniques on large volumes of data stored in databases, data marts or data warehouses, in order to discover significant patterns, trends, rules, relations and correlations contained within the data, information which would be impossible or very difficult to observe using other data analysis

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