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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

Analysis of Large Database Unbalanced Data Fragment Classification and Recognition Algorithm

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DOI: 10.25236/scmc.2019.072

Author(s)

Peng Mei, Tan Zerong, Hu Bibo

Corresponding Author

Peng Mei

Abstract

In view of the current development of big data era and the data processing of various industries, this paper proposes an unbalanced data fragment classification and recognition algorithm suitable for the current big data background. Firstly, the process of classification identification is explained in detail, and the problems existing in it are analyzed. The algorithm is described in detail, and the unbalanced data fragments are classified and identified. Experiments show that the classification and recognition algorithm can effectively improve the accuracy and lay a foundation for further research and development in this field.

Keywords

Big data era; Data processing; Unbalanced data fragment classification and recognition algorithm; Accuracy