An web content based data mining for car consumption in China

Hang, X., Dai, H. and Zhang, Y. 2003, An web content based data mining for car consumption in China, in Proceedings of the 2003 IEEE International Conference on Information Reuse and Integration (IRI-2003) : October 27-29, 2003, the Luxor Hotel and Resort, Las Vegas, NV, USA, IEEE Systems, Man, and Cybernetics Society, Piscataway, N.J., pp. 235-242.


Title An web content based data mining for car consumption in China
Author(s) Hang, X.
Dai, H.
Zhang, Y.
Conference name IEEE International Conference on Information Reuse and Integration (2003 : Las Vegas, Nev.)
Conference location Las Vegas, NV, USA
Conference dates October 27 - 29 2003
Title of proceedings Proceedings of the 2003 IEEE International Conference on Information Reuse and Integration (IRI-2003) : October 27-29, 2003, the Luxor Hotel and Resort, Las Vegas, NV, USA
Editor(s) Smari, Waleed W.
Memon, Atif M.
Publication date 2003
Start page 235
End page 242
Publisher IEEE Systems, Man, and Cybernetics Society
Place of publication Piscataway, N.J.
Summary This paper introduces an incremental FP-Growth approach for Web content based data mining and its application in solving a real world problem The problem is solved in the following ways. Firstly, we obtain the semi-structured data from the Web pages of Chinese car market and structure them and save them in local database. Secondly, we use an incremental FP-Growth algorithm for mining association rules to discover Chinese consumers' car consumption preference. To find more general regularities, an attribute-oriented induction method is also utilized to find customer's consumption preference among a range of car categories. Experimental results have revealed some interesting consumption preferences that are useful for the decision makers to make the policy to encourage and guide car consumption. Although the current data we used may not be the best representative of the actual market in practice, it is still good enough for the decision making purpose in terms of reflecting the real situation of car consumption preference under the two assumptions in the context.

ISBN 0780382420
9780780382428
Language eng
Field of Research 080105 Expert Systems
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005005

Document type: Conference Paper
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Access Statistics: 403 Abstract Views  -  Detailed Statistics
Created: Mon, 07 Jul 2008, 09:44:13 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.