Heterogeneous Data and Big Data Analytics

Lidong Wang

156 citations0/0 files storedAutomatic control and information sciences

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Big Data Technologies and Applications Cloud Computing and Resource Management Advanced Database Systems and Queries

Abstract

Heterogeneity is one of major features of big data and heterogeneous data result in problems in data integration and Big Data analytics. This paper introduces data processing methods for heterogeneous data and Big Data analytics, Big Data tools, some traditional data mining (DM) and machine learning (ML) methods. Deep learning and its potential in Big Data analytics are analysed. The benefits of the confluences among Big Data analytics, deep learning, high performance computing (HPC), and heterogeneous computing are presented. Challenges of dealing with heterogeneous data and Big Data analytics are also discussed.

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2015Deep learning applications and challenges in big data analytics 1999Data preparation for data mining 2012Challenges and opportunities with big data 2014Big Data Analytics: A Literature Review Paper 2015Toward Effective Big Data Analysis in Continuous Auditing

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