An Efficient Preprocessing and Postprocessing Techniques in Data Mining

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Provided by: Creative Commons
Topic: Data Management
Format: PDF
Organizations are maintaining history of data for future analysis. These huge volumes of database are analyzed to predict and improve the benefits and profits of the organization and also for the development. By analyzing the history of data, strategic decisions can be made to improve the performance of the organizations by the top level peoples. So, organizations are interested in analyzing the data which will result in valuable insight. The data subjected to mining consists of inconsistent, blank or null and noisy values which have to be cleaned before mining.
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