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author:

Fang, Hui (Fang, Hui.) [1] | Chen, Chongcheng (Chen, Chongcheng.) [2] (Scholars:陈崇成) | Lin, Jiaxiang (Lin, Jiaxiang.) [3] | Liu, Xianfeng (Liu, Xianfeng.) [4] | Fang, Dong (Fang, Dong.) [5]

Indexed by:

EI Scopus

Abstract:

The increasing E-tourism systems provide intelligent tour recommendation for tourists. In this sense, recommender system can make personalized suggestions and provide satisfied information associated with their tour cycle. Data mining is a proper tool that extracting potential information from large database for making strategic decisions. In the study, association rule analysis based on FP-growth algorithm is applied to find the association relationship among scenic spots in different cities as tour route recommendation. In order to figure out valuable rules, Kulczynski interestingness measure is adopted and imbalance ratio is computed. The proposed scheme was evaluated on Wangluzhe cultural tourism service network operation platform (WCTSNOP), where it could verify that it is able to quick recommend tour route and to rapidly enhance the recommendation quality. © Authors 2017. CC BY 4.0 License.

Keyword:

Association rules Data mining Quality control

Community:

  • [ 1 ] [Fang, Hui]Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Spatial Information Research Centre of Fujian, Fuzhou University, District Xueyuan Road, China
  • [ 2 ] [Fang, Hui]Dept. of Computer Science, Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou University, District Xiyuangong Road, China
  • [ 3 ] [Chen, Chongcheng]Dept. of Computer Science, Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou University, District Xiyuangong Road, China
  • [ 4 ] [Lin, Jiaxiang]College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
  • [ 5 ] [Liu, Xianfeng]Fuzhou Silviscene Information Technology Co. Ltd., China
  • [ 6 ] [Fang, Dong]Fuzhou Silviscene Information Technology Co. Ltd., China

Reprint 's Address:

  • 陈崇成

    [chen, chongcheng]dept. of computer science, fujian provincial key laboratory of information processing and intelligent control, minjiang university, fuzhou university, district xiyuangong road, china

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ISSN: 1682-1750

Year: 2017

Issue: 2W7

Volume: 42

Page: 1121-1126

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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