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Department of Information Systems


Total No. Of Publications ( 7 )



Taysir Hassan A. Soliman


" • “Mining Multi Drug-Pathways via A Probabilistic Heterogeneous Network Multi-labelClassifier,” " Bonfring International Journal of Research in Communication Engineering, , Vol. 4, No. 2, pp.10-16, 11, 2014, http://journal.bonfring.org/abstract.php?id=6&archiveid=427
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CV of the Participants : Taiseer Hassan Abdel-Hamid Sulaiman



Taysir Hassan A. Soliman, Marwa Hussein, and Mohamed El-Sharkawi


" Mining disease integrated ontology " IEEE 12th International Conference on Bioinformatics and Bioengineering, Cyprus, pp. 40- 45 , 11, 2012
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Taysir Hassan A. Soliman, Mostafa A. Elmasry, Abdel Rahman Hedar, and Magdy M. Doss


" Utilizing Support Vector Machines in Mining Online Customer Reviews " Proceedings of 22th International Conference on Computer Theory and Applications ICCTA 2012, Alexandria, Egypt , NULL, NULL, 10, 2012, -
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Hosni M. Ibrahim, Taysir Hassan Soliman, and Hadia R. Ahmed


" Protein function annotation Based on analyzing hierarchical GO Information " Journal of Engineering Sciences, Faculty of Engineering, Assiut University, 8, 2010

Taysir Hassan A. Soliman, Adel A. Sewissy, and Hisham Abdel Latif


" A gene selection approach for classifying diseases based on microarray datasets " Computer Technology and Development (ICCTD), 2010 2nd International Conference on, pp.626- 631, 11, 2010
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Ahmed Loai Ali, Osman Hegazy, Mohammed Nour Eldien


" Slum prediction using integration between GIS and ANN " IEEE Xplore Digital Library, NULL, NULL, 3, 2010, http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5461781&tag=1
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CV of the Participants : Ahmed Loai Ali



Ahmed Loai Ali, Osman Hegazy, Mohammed Nour Eldien


" A Framework for integration between Artificial Neural Network & Geographical Information System, Slum prediction as the case study " International Journal of Electrical & Computer Sciences, 10-01, 25-39, 1, 2010, http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.362.4438&rep=rep1&type=pdf
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CV of the Participants : Ahmed Loai Ali





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