An Enhanced Approach to Handle Missing Values in Heterogeneous Dataset

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Provided by: Creative Commons
Topic: Big Data
Format: PDF
Generally, data mining (sometimes called data or knowledge discovery, knowledge extraction, and knowledge discovery) is the process of analyzing huge voluminous data from different perspectives and summarizing it into the useful information. Hence data quality is much important to get the high quality pattern as result. Quality decisions ought to be based on quality data. Data quality is affected by the presence of missing values called holes because of various reasons. In order to make the database as complete by filling the holes with plausible value, variety of imputation methods have been developed.
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