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Data mining machining is the process of finding patterns in large data sets, related to methods of learning, data, and intersection of databases. This is a compulsory process where wise methods are applied to extract data patterns. This is an interdisciplinary sub-field of computer science. The overall goal of the data mining process is to extract information from a data set and to convert it into a sensible structure for further progress. In addition to the raw analysis phase, it includes database and data management aspects, data pre-processing, model and findings ideas, interesting metrics, ideas of complexity, discovered structures, presentations, and online processing. Data mining is the "discovery of knowledge in database" process or the analysis phase of KDD