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  Chen, Ming Add to Alert Profile  
 
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  1 - 5 of 10 reviews    
  Learning multiple factors-aware diffusion models in social networks
Chou C., Chen M. IEEE Transactions on Knowledge and Data Engineering 30(7): 1268-1281, 2018.  Type: Article

Predicting information diffusion in social networks is a theoretical and practical concern, especially in the context of identifying and thwarting barely licit attempts to influence individuals’ political and purchasing decis...
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Nov 6 2018  
  Mining online social data for detecting social network mental disorders
Shuai H., Shen C., Yang D., Lan Y., Lee W., Yu P., Chen M.  WWW 2016 (Proceedings of the 25th International Conference on the World Wide Web, Montréal, Québec, Canada, Apr 11-15, 2016) 275-285, 2016.  Type: Proceedings

Diagnosis of social network mental disorders (SNMD) is problematic since self-reporting questionnaires (massively applied in psychology) give subjective insight into the problem, which affects the accuracy of the measurement. Methods o...
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Aug 9 2016  
  Approaches in integrative bioinformatics: towards the virtual cell
Chen M., Hofestädt R., Springer Publishing Company, Incorporated, New York, NY, 2014. 350 pp.  Type: Book (978-3-642412-80-6)

Computational biology is a thriving discipline with an ever-increasing body of so-called “-omics” data to be explored. However, as highlighted by the editors in the first chapter of this book, there is also a pletho...
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Sep 9 2014  
  An adaptive threshold framework for event detection using HMM-based life profiles
Chen C., Chen M., Chen M. ACM Transactions on Information Systems 27(2): 1-35, 2009.  Type: Article

The goal of topic detection and tracking (TDT) systems is to organize the temporally ordered documents of a news stream according to events, in order to avoid overwhelming news consumers with too many unconnected stories....
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Jun 21 2010  
  Dependent Data Broadcasting for Unordered Queries in a Multiple Channel Mobile Environment
Huang J., Chen M. IEEE Transactions on Knowledge and Data Engineering 16(9): 1143-1156, 2004.  Type: Article

Data broadcasting is a promising technique for improving bandwidth utilization and conserving power consumption in a mobile computing environment. In many applications, the data items broadcast are dependent upon one another. However, ...
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Aug 19 2005  

 
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