Research on Data Mining Model of Intelligent Transportation Based on Granular Computing

被引：1

作者：

Xie, Xiao-Lan

Gu, Xiao-Feng ^{[1
]}

机构：

[1] Guilin Univ Technol, Coll Informat Sci & Engn, Guilin 541004, Guangxi Zhuang, Peoples R China

来源：

INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS | 2016年 / 10卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Intelligent Transportation; Granular Computing; Data Mining; Data granulated;

D O I：

10.14257/ijsia.2016.10.7.25

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Through the analysis of the relationship between current intelligence transportation and large data, after the theory of granular computing concepts involved in preliminary studies, For the current data mining of intelligent transportation, we presents a Data Mining Model Of Intelligent Transportation Based on Granular Computing. Utilizing granular computing in data mining theory advantages, through constructing a new data mining model to solve the tlarge-scale, complexity, uncertainty and ambiguity problems of massive data from intelligent transportation.

引用

页码：281 / 286

页数：6

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