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Research on Data Mining and Visualization Technology

Published: 17 May 2021 Publication History

Abstract

Nowadays, we are surrounded by huge amounts of data, and massive amounts of data have become an important strategic resource for all walks of life. In 2007, Jim Gray, a pioneer in the database field, pointed out that big data will become an effective way for humans to touch, understand and approximate complex systems in reality, and believes that the fourth paradigm-"data exploration" will be ushered in. It started the upsurge of examining big data from the perspective of scientific research. Starting from the development status of big data at home and abroad, this paper introduces the basic concept of big data, characteristics of big data and processing flow, and finally introduces the key technologies related to data mining as well as their advantages and disadvantages.

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    cover image ACM Other conferences
    CONF-CDS 2021: The 2nd International Conference on Computing and Data Science
    January 2021
    1142 pages
    ISBN:9781450389570
    DOI:10.1145/3448734
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 May 2021

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    Author Tags

    1. Big data
    2. data analysis
    3. data mining
    4. data preprocessing

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