An Overview on Data Preprocessing Methods in Data Mining |
Author(s): |
| R. Dharmarajan , Thanthai Hans Roever College, Perambalur; R.Vijayasanthi , Thanthai Hans Roever College, Perambalur |
Keywords: |
| Data Preprocessing, Data cleaning, Data Integration, Data Transformation, Data reduction. |
Abstract |
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Data preprocessing is a data mining technique that involves transforming raw data into an understandable format. Data pre-processing is an often ignored but important step in the data mining process. Real-world data is often incomplete, inconsistent, and/or lacking in certain behaviors or trends, and is likely to contain many errors. Data preprocessing is a proven method of resolving such issues. Data preprocessing prepares raw data for further processing. Data pre-processing includes cleaning, Integration, Transformation, reduction, etc. This paper analyzes existing work done in the preprocessing steps. A brief overview of various data preprocessing techniques for Data cleaning, Data Integration, Data Transformation, Data reduction, Data Discretization is discussed. |
Other Details |
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Paper ID: IJSRDV3I31577 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 3544-3546 |
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