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2017•Unpublished venueRequires access

The Application of Data Mining Technology to Big Data

Jinlong Wang, Jing Liu, Russell John Higgs, Zhou Li, Chuanai Zhou

Open publisher page 2 citations

Abstract

The purpose of data mining is to explore, find and hence analyze relevant data from a massive data source using various technical means. This paper introduces the development of data mining to date, its functions, tasks and algorithms, as well as the process of data mining. The application and problems of data mining are also presented and finally the potential future development of data mining technology is considered.

About this research paper

What this paper is about

The purpose of data mining is to explore, find and hence analyze relevant data from a massive data source using various technical means. This paper introduces the development of data mining to date, its functions, tasks and algorithms, as well as the process of data mining. The application and problems of data mining are also presented and finally the potential future development of data mining technology is considered.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Main findings

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Limitations

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Applications

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Available abstract

The purpose of data mining is to explore, find and hence analyze relevant data from a massive data source using various technical means. This paper introduces the development of data mining to date, its functions, tasks and algorithms, as well as the process of data mining. The application and problems of data mining are also presented and finally the potential future development of data mining technology is considered.

Key concepts: Computer science, Data mining, Big data, Process (computing), Data stream mining, Data science, Data modeling, Database

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