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Displaying 1-5 out of 5 total
Multidimensional Association Analysis of Web Users' Access Path for Website Design and Promotion
Found in: Fuzzy Systems and Knowledge Discovery, Fourth International Conference on
By Jianyuan Yan, Li Zhang, Fang Zhao, Wenting Liu, Kai Li
Issue Date:August 2009
pp. 103-107
Data mining technology makes it possible to discover knowledge from daily operational data. As we know, web log contains a lot of information about web users’ behavior on the website, for example, web users’ access path. Information discovered from those d...
Constrained Clustering Objects on a Spatial Network
Found in: Computer Science and Information Engineering, World Congress on
By Wenting Liu, Jun Feng, Zhijian Wang
Issue Date:April 2009
pp. 636-639
Clustering is one of the most important analysis tasks in spatial databases. However, in many real applications, it is more meaningful constrained clustering objects on a spatial network (e.g. road network including traffic information). The existing metho...
Multi-thresholds Clustering Objects in a Road Network
Found in: Computer Science and Software Engineering, International Conference on
By Wenting Liu, Jun Feng, Zhijian Wang, Hao Shan
Issue Date:December 2008
pp. 686-689
Threshold selection is an important topic and also a critical preprocessing step, which directly affects the accuracy of the clustering in a road network. This paper analyzes the necessity of multiple thresholds selection in a road network, extracts the si...
Collaborative Online Multitask Learning
Found in: IEEE Transactions on Knowledge and Data Engineering
By Guangxia Li,Steven C. H. Hoi,Kuiyu Chang,Wenting Liu,Ramesh Jain
Issue Date:August 2014
pp. 1-1
We study the problem of online multitask learning for solving multiple related classification tasks in parallel, aiming at classifying every sequence of data received by each task accurately and efficiently. One practical example of online multitask learni...
Collaborative online learning of user generated content
Found in: Proceedings of the 20th ACM international conference on Information and knowledge management (CIKM '11)
By Guangxia Li, Kuiyu Chang, Ramesh Jain, Steven C.H. Hoi, Wenting Liu
Issue Date:October 2011
pp. 285-290
We study the problem of online classification of user generated content, with the goal of efficiently learning to categorize content generated by individual user. This problem is challenging due to several reasons. First, the huge amount of user generated ...