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Academic Journal of Computing & Information Science, 2018, 1(1); doi: 10.25236/AJCIS.010004.

Analysis of Massive Unstructured Data Model Based on Clustering Algorithm

Author(s)

Yuxiang Cai, Lijun Cai, Ting Fu,Yong Ye, Sheng Zhou

Corresponding Author:
Yuxiang Cai
Affiliation(s)

State Grid Fujian Electric Power Co., Ltd. information communication branch,Fuzhou,Fujian 350003,China

Abstract

With the rapid development of the Internet and the Internet of Things, the degree of informatization of various industries has rapidly increased, and modern computers can easily collect large amounts of data. Therefore, various industries have begun to adopt large-scale databases to collect more. The information, and through this information to get more knowledge, resulting in a huge amount of data. In this paper, the clustering algorithm is used to analyze massive unstructured data, and the parameters such as the number of accesses and the duration of use are considered, so that the unstructured data can improve the accuracy when searching, so as to more effectively meet the needs of users.

Keywords

Clustering algorithm; Unstructured data; Data clustering; Clustering evaluation; Data mining

Cite This Paper

Yuxiang Cai, Lijun Cai, Ting Fu,Yong Ye, Sheng Zhou. Analysis of Massive Unstructured Data Model Based on Clustering Algorithm. Academic Journal of Computing & Information Science (2018) Vol. 1: 28-35.

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