Intelligent Information Processing VII

s of Keynote Presentations Challenges of Big Data in Scientific Discovery

[1]  Nick Feamster,et al.  Understanding the network-level behavior of spammers , 2006, SIGCOMM 2006.

[2]  陈凯,et al.  Method for capturing water armies on microblog platforms , 2013 .

[3]  Archana Bhattarai,et al.  Characterizing comment spam in the blogosphere through content analysis , 2009, 2009 IEEE Symposium on Computational Intelligence in Cyber Security.

[4]  Li Wei,et al.  Spam Filtering by Stages , 2007, 2007 International Conference on Convergence Information Technology (ICCIT 2007).

[5]  Harris Drucker,et al.  Support vector machines for spam categorization , 1999, IEEE Trans. Neural Networks.

[6]  Jeng-Shyang Pan,et al.  Bat Algorithm Inspired Algorithm for Solving Numerical Optimization Problems , 2011 .

[7]  Yoram Singer,et al.  BoosTexter: A Boosting-based System for Text Categorization , 2000, Machine Learning.

[8]  Li Xing.  Implementation and evaluation of Chinese spam filtering system , 2005 .

[9]  Salvatore J. Stolfo,et al.  Behavior-based email analysis with application to spam detection , 2006 .

[10]  Ying Tan,et al.  A three-layer back-propagation neural network for spam detection using artificial immune concentration , 2009, Soft Comput..

[11]  张炜,et al.  Detection and determination method of network navy , 2012 .

[12]  William S. Yerazunis,et al.  Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering , 2004, PKDD.

[13]  Georgios Paliouras,et al.  A Memory-Based Approach to Anti-Spam Filtering for Mailing Lists , 2004, Information Retrieval.

[14]  Bo Liu,et al.  Directing orbits of chaotic systems by particle swarm optimization , 2006 .

[15]  Xin-She Yang,et al.  Bat algorithm: a novel approach for global engineering optimization , 2012, 1211.6663.

[16]  Kok Lay Teo,et al.  Directing Orbits of Chaotic Dynamical Systems , 1995 .

[17]  Raymond Y. K. Lau,et al.  Text mining and probabilistic language modeling for online review spam detecting , 2011 .

[18]  T. C. Bora,et al.  Bat-Inspired Optimization Approach for the Brushless DC Wheel Motor Problem , 2012, IEEE Transactions on Magnetics.

[19]  Du Nan-shan.  Design and Analysis of Spam-Filtering System Based on Words Segmentation , 2005 .

[20]  Amir Hossein Gandomi,et al.  Chaotic bat algorithm , 2014, J. Comput. Sci..

[21]  Yoram Singer,et al.  Boosting and Rocchio applied to text filtering , 1998, SIGIR '98.

[22]  Gaige Wang,et al.  A Bat Algorithm with Mutation for UCAV Path Planning , 2012, TheScientificWorldJournal.

[23]  Walmir M. Caminhas,et al.  A review of machine learning approaches to Spam filtering , 2009, Expert Syst. Appl..

[24]  Irena Koprinska,et al.  A neural network based approach to automated e-mail classification , 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).

[25]  Rafael S. Parpinelli,et al.  New inspirations in swarm intelligence: a survey , 2011, Int. J. Bio Inspired Comput..

[26]  Qidi Wu,et al.  Bat algorithm with Gaussian walk , 2014, Int. J. Bio Inspired Comput..

[27]  Zongben Xu,et al.  When Does Online BP Training Converge? , 2009, IEEE Transactions on Neural Networks.

[28]  Hai Zhao,et al.  Using Deep Linguistic Features for Finding Deceptive Opinion Spam , 2012, COLING.

[29]  Chi-Yuan Yeh,et al.  Effective spam classification based on meta-heuristics , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

[30]  Christopher G. Harris.  Detecting Deceptive Opinion Spam Using Human Computation , 2012, HCOMP@AAAI.