Data Classification and Prediction

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Author(s): Pudumalar S (Thiagarajar College of Engineering, India), Suriya K S (Thiagarajar College of Engineering, India)and Rohini K (Thiagarajar College of Engineering, India)
Copyright: 2018
Pages: 25
Source title: Applications of Security, Mobile, Analytic, and Cloud (SMAC) Technologies for Effective Information Processing and Management
Source Author(s)/Editor(s): P. Karthikeyan (Thiagarajar College of Engineering, India)and M. Thangavel (Thiagarajar College of Engineering, India)
DOI: 10.4018/978-1-5225-4044-1.ch008

Keywords: Cloud Computing / Computer Science & IT / Information Science Reference / Systems and Software Engineering

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Abstract

This chapter describes how we live in the era of data, where every event in and around us creates a massive amount of data. The greatest challenge in front of every data scientist is making this raw data, a meaningful one to solve a business problem. The process of extracting knowledge from the large database is called as Data mining. Data mining plays a wrestling role in all the application like Health care, education and Agriculture, etc. Data mining is classified predictive and descriptive model. The predictive model consists of classification, regression, prediction, time series analysis and the descriptive model consists of clustering, association rules, summarization and sequence discovery. Predictive modeling associates the important areas in the data mining called classification and prediction.

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