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Pre-Processing Concept in Data Mining


M. Sathish , Dr.SNS Rajalakshmi college of arts and science,coimbatore; K. G. Shri Ranjani, Dr.SNS Rajalakshmi college of arts and science,coimbatore


Data cleaning, Data Integration, Data transformation, Data reduction


Data pre-processing is an essential and critical step in the data mining process and it has a huge impact on the success of a data excavating project. Data pre-processing is a first step of the Knowledge discovery in databases (KDD) process that reduces the involvement of the data and offers better analysis and ANN training. There are a number of different tools and methods used for pre-processing, including: sampling, which selects a characteristic subset from a large population of data; transformation, which handle raw data to produce a single input; denoising , which removes noise from data; control, which organizes data for more efficient access. Data pre-processing includes cleaning, Integration, Transformation, reduction. Pre-processing technique for soil data sets are also useful for classification in data mining.

Other Details

Paper ID: IJSRDV5I60329
Published in: Volume : 5, Issue : 6
Publication Date: 01/09/2017
Page(s): 1035-1036

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