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Folksonomy for the Blogosphere: Blog Identification and Classification
Found in: Computer Science and Information Engineering, World Congress on
By Rujiang Bai, Xiaoyue Wang, Junhua Liao
Issue Date:April 2009
pp. 631-635
Traditional automatic classifiers often conduct misclassifications. Folksonomy, a new manual classification scheme based on tagging efforts of users with freely chosen keywords can effective resolve this problem. Even though the scalability of folksonomy i...
 
A Hybrid Text Classification Model based on Rough Sets and Genetic Algorithms
Found in: Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
By Xiaoyue Wang, Zhen Hua, Rujiang Bai
Issue Date:August 2008
pp. 971-977
Automatic categorization of documents into pre-defined taxonomies is a crucial step in data mining and knowledge discovery. Standard machine learning techniques like support vector machines(SVM) and related large margin methods have been successfully appli...
 
Combination Methodologies of Text Classifier: Design and Implementation
Found in: Fuzzy Systems and Knowledge Discovery, Fourth International Conference on
By Rujiang Bai, Xiaoyue Wang
Issue Date:August 2007
pp. 21-25
Support Vector Machines, one of the most population techniques for classification, have been widely used in many application areas. The kernel parameters setting for SVM in a training process impacts on the classification accuracy. Feature selection is ano...
 
An Effective Hybrid Classifier Based on Rough Sets and Neural Networks
Found in: Web Intelligence and Intelligent Agent Technology, International Conference on
By Rujiang Bai, Xiaoyue Wang
Issue Date:December 2006
pp. 57-62
Due to the exponential growth of documents on the Internet and the emergent need to organize them, the automated categorization of documents into predefined labels has received an ever-increased attention in the recent years. This paper describes a method ...
 
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