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Displaying 1-8 out of 8 total
Mining hub-based protein complexes in massive biological networks
Found in: 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)
By Zhijie Lin,Yan Chen,Shiwei Wu,Yun Xiong,Yangyong Zhu,Guangyong Zheng
Issue Date:October 2012
pp. 166-173
Advanced technologies are producing large-scale protein-protein interaction data at an ever increasing pace. Finding protein-protein interaction complexes from large PPI networks is a fundamental problem in bioinformatics. As a group of core proteins which...
 
Learning Ontology Automatically Using Topic Model
Found in: Biomedical Engineering and Biotechnology, International Conference on
By Zhijie Lin,Rui Lu,Yun Xiong,Yangyong Zhu
Issue Date:May 2012
pp. 360-363
Ontology has been extensively applied in various fields, such as artificial intelligence, information extraction and retrieval \textit{et al}. In this paper we describe a new approach for automatic learning terminological ontology. The method takes the top...
 
User Navigation Behavior Mining Using Multiple Data Domain Description
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Li Xue, Ming Chen, Yun Xiong, Yangyong Zhu
Issue Date:September 2010
pp. 132-135
User Navigation Behavior Mining (UNBM) mainly studies the problems of extracting the interesting user access patterns from user access sequences (UAS), which are usually used for user access prediction and web page recommendation. Through analyzing the rea...
 
A Cost-Effective LSH Filter for Fast Pairwise Mining
Found in: Data Mining, IEEE International Conference on
By Gang Zhao, Yun Xiong, Longbing Cao, Dan Luo, Xuchun Su, Yangyong Zhu
Issue Date:December 2009
pp. 1088-1093
The pairwise mining problem is to discover pairwise objects having measures greater than the user-specified minimum threshold from a collection of objects. It is essential in a large variety of database and data-mining applications. Of late, there has been...
 
Mining Peculiarity Groups in Day-by-Day Behavioral Datasets
Found in: Data Mining, IEEE International Conference on
By Yun Xiong, Yangyong Zhu
Issue Date:December 2009
pp. 578-587
Behavior mining is one of the most important issues in data mining. The growing interest in the study of behavior mining has been credited to the availability of a large amount of individual behavioral data. Some objects containing common behavioral patter...
 
A Collaborative Multiagent System for Mining Transcriptional Regulatory Elements
Found in: IEEE Intelligent Systems
By Yun Xiong, Guangyong Zheng, Qing Yang, Yangyong Zhu
Issue Date:May 2009
pp. 26-37
Identification of transcriptional regulatory elements offers a key means of insight into regulation mechanisms. However, the number of known regulatory elements is inadequate and state-of-the-art identification methods are inaccurate. Moreover, it is diffi...
 
An Agent-Based Approach to Mine Transcriptional Regulatory Elements
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Yun Xiong, Guangyong Zheng, Qing Yang, Yangyong Zhu
Issue Date:December 2008
pp. 567-570
The study of transcriptional regulation mechanisms is one of current research issues in post-genomic era. However, the number of the known regulatory elements is rarely limited, and the accuracy of the state-of-the-art identification methods is still far f...
 
A Multi-Supports-Based Sequential Pattern Mining Algorithm
Found in: Computer and Information Technology, International Conference on
By Yun Xiong, Yang-yong Zhu
Issue Date:September 2005
pp. 170-174
<p>Sequential pattern mining is now widely used in various areas, such as the analysis of biological sequences, Web access patterns, customer purchase patterns and etc. In this paper, we propose a new definition for M-sequences. Also we present multi...
 
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