• What is Data Mining? (with pictures)

    Like the term artificial intelligence, data mining is an umbrella term that can be applied to a number of varying activities. In the corporate world, data mining is used most frequently to determine the direction of trends and predict the future. It is employed to build models and decision support systems that give people information they can use.

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  • Phases of the Data Mining Process dummies

    The CrossIndustry Standard Process for Data Mining (CRISPDM) is the dominant datamining process framework. It's an open standard; anyone may use it. The following list describes the various phases of the process. Business understanding: Get a clear understanding of the problem you're out to solve, how it impacts your organization, and your goals for addressing [.]

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  • Data mining techniques – IBM Developer

    Dec 11, 2012· Data mining itself relies upon building a suitable data model and structure that can be used to process, identify, and build the information that you need. Regardless of the source data form and structure, structure and organize the information in a format that allows the data mining to take place in as efficient a model as possible.

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  • A Comparative Study of Data Mining Process Models (KDD ...

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  • Data mining Wikipedia

    Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for ...

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