Data Classification: Its Techniques and Big Data

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Author(s): A. Sheik Abdullah (Thiagarajar College of Engineering, India), R. Suganya (Thiagarajar College of Engineering, India), S. Selvakumar (G. K. M. College of Engineering and Technology, India)and S. Rajaram (Thiagarajar College of Engineering, India)
Copyright: 2017
Pages: 18
Source title: Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence
Source Author(s)/Editor(s): Shrawan Kumar Trivedi (BML Munjal University, India), Shubhamoy Dey (Indian Institute of Management, Indore, India), Anil Kumar (BML Munjal University, India)and Tapan Kumar Panda (Jindal Global Business School, India)
DOI: 10.4018/978-1-5225-2031-3.ch003

Keywords: Business & Management / Business Information Systems / Business Intelligence / Business Science Reference

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Abstract

Classification is considered to be the one of the data analysis technique which can be used over many applications. Classification model predicts categorical continuous class labels. Clustering mainly deals with grouping of variables based upon similar characteristics. Classification models are experienced by comparing the predicted values to that of the known target values in a set of test data. Data classification has many applications in business modeling, marketing analysis, credit risk analysis; biomedical engineering and drug retort modeling. The extension of data analysis and classification makes the insight into big data with an exploration to processing and managing large data sets. This chapter deals with various techniques, methodologies that correspond to the classification problem in data analysis process and its methodological impacts to big data.

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Data Classification: Its Techniques and Big Data

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