Data-Intensive Analytics for Predictive Modeling


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Source: IBM
Date: January 2008
Type: White Paper
Rating: (0)

Overview: Predictive modeling, which is perhaps the most-used subfield of data mining, draws from statistics, machine learning, database techniques, pattern recognition, and optimization techniques. Just what exactly is data mining? At a broad level, it is the process by which one extracts accurate and previously unknown information from large volumes of data. This information should be in a form that can be understood, acted upon, and used for improving decision processes in business and industrial settings. With this definition, data mining is an activity that encompasses a broad set of technologies, including data warehouses, database management, data analysis algorithms, and visualization.

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