A MapReduce based parallel SVM for large scale spam filtering

Proceedings - 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011

Volumn 4, Issue , 2011, Pages 2659-2662

  Caruana, Godwin ^a   Li, Maozhen ^a,c   Qi, Man ^b  

^a BRUNEL UNIVERSITY   (United Kingdom)

^b CANTERBURY CHRIST CHURCH UNIVERSITY   (United Kingdom)

^c Ministry of Education   (China)

Author keywords

Classification; Machine Learning; Ontology Semantics; Parallel Computing; Support Vector Machine

Indexed keywords

DISTRIBUTED SVM; MACHINE-LEARNING; MAP-REDUCE; ONTOLOGY SEMANTICS; ONTOLOGY-BASED; SPAM CLASSIFICATION; SPAM FILTERING; SUPPORT VECTOR; SVM ALGORITHM; SVM CLASSIFIERS; TRAINING DATA; TRAINING TIME;

CLASSIFICATION (OF INFORMATION); FUZZY SYSTEMS; INTERNET; ONTOLOGY; PARALLEL ARCHITECTURES; PARALLEL PROCESSING SYSTEMS; SEMANTICS;

SUPPORT VECTOR MACHINES;

EID: 80053429410     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2011.6020074     Document Type: Conference Paper

References (20)

1. E. Blanzieri and A. Bryl, "A survey of learning-based techniques of email spam filtering," Artif. Intell. Rev., vol. 29, no. 1, p. 63-92, 2008.
2. A. Blanco, A. M. Ricket, and M. Martin-Merino, "Combining SVM classifiers for email anti-spam filtering," in Computational and Ambient Intelligence. Proceedings 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Berlin, Germany, 2007, pp. 903-10.
3. B. Scholkopf and A. J. Smola, Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. Cambridge, MA, USA: MIT Press, 2001.
4. H.P. Graf, E. Cosatto, L. Bottou, I. Durdanovic, and V. Vapnik, "Parallel Support Vector Machines: The Cascade SVM," in NIPS, 2004.
5. T.-N. Do and F. Poulet, "Classifying one billion data with a new distributed svm algorithm," in RIVF, 2006, pp. 59-66. (Pubitemid 46949323)
6. J. C. Platt, "Fast training of support vector machines using sequential minimal optimization," Cambridge, MA, USA: MIT Press, 1999, p. 185-208.
7. F. R. Bach and M. I. Jordan, "Predictive low-rank decomposition for kernel methods," in ICML, 2005, pp. 33-40. (Pubitemid 43183313)
8. G. Zanghirati and L. Zanni, "A parallel solver for large quadratic programs in training support vector machines," Parallel Comput., vol. 29, no. 4, p. 535-551, 2003.
9. J. Dean and S. Ghemawat, "MapReduce: simplified data processing on large clusters," Commun. ACM, vol. 51, no. 1, p. 107-113, 2008.
10. "Welcome to Apache Hadoop!," Welcome to Apache Hadoop! [Online]. Available: http://hadoop.apache.org/. [Accessed: 09-May-2011].
11. B. He, W. Fang, Q. Luo, N. K. Govindaraju, and T. Wang, "Mars: a MapReduce framework on graphics processors," in PACT '08: Proceedings of the 17th international conference on Parallel architectures and compilation techniques, New York, NY, USA, 2008, p. 260-269.
12. K. Taura, T. Endo, K. Kaneda, and A. Yonezawa, "Phoenix: a Parallel Programming Model for Accommodating Dynamically Joining Resources," in In Proc. of PPoPP, 2003, p. 216-229.
13. T. Aarnio, "Parallel Data Processing with Mapreduce." [Online]. Available: http://www.cse.tkk.fi/en/publications/B/5/papers/Aarnio-final.pdf. [Accessed: 29-Apr-2010].
14. I. H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques, 2nd ed. San Francisco: Morgan Kaufmann, 2005.
15. N. A. Syed, S. Huan, L. Kah, and K. Sung, "Incremental Learning with Support Vector Machines," Incremental Learning with Support Vector Machines, 1999. [Online]. Available: http://citeseer.ist.psu.edu/viewdoc/ summary.doi=10.1.1.46.6367. [Accessed: 03-Aug-2010].
16. S. Youn and D. McLeod, "Efficient spam email filtering using adaptive ontology," in International Conference on Information Technology, Proceedings, 2007, pp. 249-254. (Pubitemid 47298465)
17. A. Asuncion and D. J. Newman, UCI Machine Learning Repository. University of California, Irvine, School of Information and Computer Sciences, 2007.
18. "About the Protégé Team," Protege. [Online]. Available: http://protege.stanford.edu/aboutus/aboutus.html. [Accessed: 15-Aug-2010].
19. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten, "The WEKA data mining software: an update," SIGKDD Explor. Newsl., vol. 11, no. 1, p. 10-18, 2009.
20. C. Posse, P. Paulson, B. Baddeley, R. Hohimer, and A. White, "Automating Ontological Annotation with WordNet," in Proceedings of the 3 rd Global WordNet Conference, Jeju Island, South Korea, 2006.