Optimization for Urban Tourism Product Development System Based on Data Mining

被引：2

作者：

Hua, Jin ^{[1
]}

机构：

[1] ChangChun Universityr, Sci & Technol, Changchun 130000, Jilin, Peoples R China

来源：

2016 INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA 2016) | 2016年

关键词：

Urban tourism product; Multi-objective optimization; User vector; Data Mining; MULTIOBJECTIVE OPTIMIZATION; DIFFERENTIAL EVOLUTION; ALGORITHM;

D O I：

10.1109/ICSGEA.2016.68

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to design and plan the science and economic urban tourism product development system, the paper provided a new optimization method for urban tourism product development system based on data mining. Firstly, we collect urban tourism data from users, then construct the urban tourism product development database. The last we use the multi-objective optimization algorithm to calculate the optimal cluster number, and discover the more effective urban tourism product development system by cluster analysis based data mining. The test results demonstrate that the method is effective to plan the new urban tourism products development system.

引用

页码：284 / 287

页数：4

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