Knowledge discovery of tourist subjective data in smartphone-based participatory sensing system by interactive growing hierarchical SOM and C4.5
by Takumi Ichimura; Shin Kamada; Kosuke Kato
International Journal of Knowledge and Web Intelligence (IJKWI), Vol. 3, No. 2, 2012

Abstract: A self organising map (SOM) is trained using unsupervised learning to produce a two-dimensional discretised representation of input space of the training cases. Growing hierarchical SOM is an architecture which grows both in a hierarchical way representing the structure of data distribution and in a horizontal way representing the size of each individual maps. The control method of the growing degree by pruning off the redundant branch of hierarchy in SOM has been proposed and the criteria were designed by the adjustment of parameter settings according to a quantisation error and the size of map. Moreover, the interface tool for the proposed method called the interactive GHSOM has been developed. The interactive GHSOM can determine the knowledge of classification from the hierarchy of structure. A smartphone-based tourist participatory sensing system has been developed in Android smartphone. The system can collect tourist subjective data which includes jpeg files with GPS, geographic location name, the evaluation, and comments written in natural language at sightseeing spot. In this paper, we classified the subjective data by interactive GHSOM and extracted the rules by C4.5. After the interactive GHSOM implementation, the structure of the extracted rules became a lucid expression.

Online publication date: Thu, 04-Sep-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Knowledge and Web Intelligence (IJKWI):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com