Big Data and Analytics

Author:

Sheik Abdullah A. 1,Priyadharshini P. 1

Affiliation:

1. Thiagarajar College of Engineering, India

Abstract

The term Big Data corresponds to a large dataset which is available in different forms of occurrence. In recent years, most of the organizations generate vast amounts of data in different forms which makes the context of volume, variety, velocity, and veracity. Big Data on the volume aspect is based on data set maintenance. The data volume goes to processing usual a database but cannot be handled by a traditional database. Big Data is stored among structured, unstructured, and semi-structured data. Big Data is used for programming, data warehousing, computational frameworks, quantitative aptitude and statistics, and business knowledge. Upon considering the analytics in the Big Data sector, predictive analytics and social media analytics are widely used for determining the pattern or trend which is about to happen. This chapter mainly deals with the tools and techniques that corresponds to big data analytics of various applications.

Publisher

IGI Global

Reference21 articles.

1. Abdullah, A. S., Gayathri, N., & Selvakumar, S. (2017). Determination of the Risk of Heart Disease using Neural Network Classifier. Proceedings of the National Conference on Big Data Analytics and Mobile Technologies (NCBM 2017), Thiagarajar College of Engineering, Madurai. Academic Press.

2. Abdullah, A. S., Rishi, K. V., Karthickbabu, M., Prathap, D., & Selvaumar, S. (2019). Heart Disease Prediction using Data Mining. Proceedings of the Fifth International Conference on Biosignals, Images and Instrumentation (ICBSII 2019), Chennai, India. Springer India.

3. Abdullah, A. S., & Selvakumar, S. (2018). An Improved Medical Informatic Decision Model by Hybridizing Ant colony Optimization Algorithm with Decision Trees for Type II Diabetic Prediction. Proceedings of theInternational Conference on Business Analytics and Intelligence. Academic Press.

4. An Introduction to Data Analytics

5. Big Data Analytics in Healthcare Sector

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