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Items where Author is Abdel-Jaber Thabtah, Fadi

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Number of items: 17.

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Mohammad, Rami, Thabtah, Fadi Abdeljaber and McCluskey, T.L. (2014) Predicting phishing websites based on self-structuring neural network. Neural Computing and Applications, 25 (2). pp. 443-458. ISSN 0941-0643 (In Press)

Mohammad, Rami, McCluskey, T.L. and Thabtah, Fadi Abdeljaber (2014) Intelligent Rule based Phishing Websites Classification. IET Information Security, 8 (3). pp. 153-160. ISSN 1751-8709

Mohammad, Rami, McCluskey, T.L. and Thabtah, Fadi Abdeljaber (2013) Predicting Phishing Websites using Neural Network trained with Back-Propagation. In: Proceedings of the 2013 World Congress in Computer Science, Computer Engineering, and Applied Computing. WORLDCOMP 2013 . World Congress in Computer Science, Computer Engineering, and Applied Computing , Las Vegas, Nevada, USA, pp. 682-686. ISBN 1601322461

Mohammad, Rami, McCluskey, T.L. and Thabtah, Fadi Abdeljaber (2012) An Assessment of Features Related to Phishing Websites using an Automated Technique. In: International Conferece For Internet Technology And Secured Transactions. ICITST 2012 . IEEE, London, UK, pp. 492-497. ISBN 978-1-4673-5325-0

Mahmood, Qazafi, Thabtah, Fadi Abdeljaber and McCluskey, T.L. (2007) Looking at the class associative classification training algorithm. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2007: CEARC’07. University of Huddersfield, Huddersfield, pp. 1-9.

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Thabtah, Fadi Abdeljaber, Hadi, Wa’el, Abu-Mansour, Hussein and McCluskey, T.L. (2010) A new rule pruning text categorisation method. In: 2010 7th International Multi-Conference on Systems, Signals and Devices. IEEE, London, UK, pp. 1-6. ISBN 9781424475322

Thabtah, Fadi Abdeljaber, Mahmood, Qazafi, McCluskey, T.L. and Abdel-Jaber, Hussein (2010) A New Classification Based on Association Algorithm. Journal of Information & Knowledge Management, 9 (1). pp. 55-64. ISSN 0219-6492

Thabtah, Fadi Abdeljaber, Mahmood, Qazafi and McCluskey, T.L. (2008) Looking at the Class Associative Classification Training Algorithm. Fifth International Conference on Information Technology: New Generations, 2008. ITNG 2008.. pp. 426-431.

Thabtah, Fadi Abdeljaber and Cowling, Peter (2007) A greedy classification algorithm based on association rule. Applied Soft Computing, 7 (3). pp. 1102-1111. ISSN 1568-4946

Thabtah, Fadi Abdeljaber (2007) A review of associative classification mining. Knowledge Engineering Review, 22 (1). pp. 37-65. ISSN 0269-8889

Thabtah, Fadi Abdeljaber, Cowling, Peter and Hammoud, Suhel (2006) Improving rule sorting predictive accuracy and training time in associative classification. Expert Systems With Applications, 31 (2). pp. 414-426. ISSN 0957-4174

Thabtah, Fadi Abdeljaber (2006) Pruning techniques in associative classification: Survey and comparison. Journal of Digital Information Management, 4 (3). pp. 197-202. ISSN 0972-7272

Thabtah, Fadi Abdeljaber, Cowling, Peter and Peng, Yonghong (2006) Multiple labels associative classification. Knowledge and Information Systems, 9 (1). pp. 109-129. ISSN 0219-1377

Thabtah, Fadi Abdeljaber (2006) Rule preference effect in associative classification mining. Journal of Information and Knowledge Management, 5 (1). pp. 13-20. ISSN 0219-6492

Thabtah, Fadi Abdeljaber, Cowling, Peter and Peng, Y. (2005) MCAR: multi-class classification based on association rule. The 3rd ACS/IEEE International Conference on Computer Systems and Applications, 2005. p. 33.

Thabtah, Fadi Abdeljaber, Cowling, Peter and Peng, Y. (2005) Real performance of categorization-based association rule techniques. In: The 2nd International Conference on Information Technology "Human Computer Interaction" ICIT 2005, 3rd-5th May, 2005, AL-Zaytoonah University, Amman, Jordan. (Unpublished)

Thabtah, Fadi Abdeljaber, Cowling, Peter and Peng, Yonghong (2004) MMAC: A New Multi-Class, Multi-Label Associative Classification Approach. In: Data Mining, 2004. ICDM '04. Fourth IEEE International Conference, 1-4 November 2004.

This list was generated on Tue Jul 22 22:38:47 2014 IST.

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