What is data mining

Data mining is a technique to explore and analyse the data using the computational algorithms. The analysis of data results some similar or dissimilar patterns. That are used for designing and developing different applications such as recognition, decision making and others. Data mining supports various kinds of data modeling such as classification, prediction, association, cluster analysis and others. The mining and their techniques can be depends upon the application. Data mining algorithms consumes data samples, which is supplied for performing the mining. In the real world, huge amount of data are available. This data is belongs from various domains such as education, medical and others. This data may be used for extracting knowledge and information for making decision and recognizing similar patterns. For example, we can find sales patterns in a month from some shopping database. Data can be analyzed, summarized, visualized to understand and meet to challenges [1]. The goals of data mining are fast retrieval of data, knowledge Discovery, identification of hidden patterns, reduce level of complexity, etc [2]. Data mining is treated as knowledge discovery in database (KDD process). KDD is an iterative process it includes the following steps. figure 1 data mining process Types of Data…

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