Publications

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In Press
Bakry, M. E., S. Safwat, and O. Hegazy, "A MapReduce Fuzzy techniques of Big Data classification", SAI Computing Conference 2016, London, In Press.
2015
Bakry, M. E., S. Safwat, and O. Hegazy, "Big Data Classification using Fuzzy K-Nearest Neighbor", International Journal of Computer Applications, vol. 132, issue 10, pp. 8-13, 2015. Abstract

Because of the massive increase in the size of the data it becomes troublesome to perform effective analysis using the current traditional techniques. Big data put forward a lot of challenges due to its several characteristics like volume, velocity, variety, variability, value and complexity. Today there is not only a necessity for efficient data mining techniques to process large volume of data but in addition a need for a means to meet the computational requirements to process such huge volume of data. The objective of this paper is to classify big data using Fuzzy K-Nearest Neighbor classifier, and to provide a comparative study between the results of the proposed systems and the method reviewed in the literature. In this paper we implemented the Fuzzy KNearest Neighbor method using the MapReduce paradigm to process on big data. Results on different data sets show that the proposed Fuzzy K-Nearest Neighbor method outperforms a better performance than the method reviewed in the literature.

EL-Bakry, M., S. Safwat, and O. Hegazy, "‘Fuzzy’ vs ‘Non-Fuzzy’ Classification in Big Data", Proceedings of Second International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC2015), Dubai,UAE, pp. 23-32, 2015. Abstract

Due to the huge increase in the size of the data it becomes troublesome to perform efficient analysis using the current traditional techniques. Big data puts forward a lot of challenges due to its several characteristics like volume, velocity, variety, variability, value and complexity. Today, there is not only a necessity for efficient data mining techniques to process large volume of data but also a need for a means to meet the computational requirements to process such huge volume of data. The objective of this research is to compare fuzzy and non-fuzzy algorithms in classification of big data, and to provide a comparative study between the results of this study and the methods reviewed in the literature. In this paper, we implemented the Fuzzy K-Nearest Neighbor method as a fuzzy technique and the Support Vector Machine as non-fuzzy technique using the map reduce paradigm to process on big data. Results on different data sets show that the proposed Fuzzy K Nearest Neighbor method outperforms a better performance than the Support Vector Machine and the method reviewed in the literature.

Ayeldeen, H., O. Hegazy, and A. E. Hassanien, "Case Selection Strategy Based on K-Means Clustering", Information Systems Design and Intelligent Applications: Springer, pp. 385–394, 2015. Abstract
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Ayeldeen, H., O. Shaker, O. Hegazy, and A. E. Hassanien, "Case-Based Reasoning: A Knowledge Extraction Tool to Use", Information Systems Design and Intelligent Applications: Springer, pp. 369–378, 2015. Abstract
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Hegazy, O., O. S. Soliman, and M. A. Salam, Comparative Study between FPA, BA, MCS, ABC, and PSO Algorithms in Training and Optimizing of LS-SVM for Stock Market Prediction, , 2015. Abstract
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Ayeldeen, H., O. Shaker, O. Hegazy, and A. E. Hassanien, "Distance Similarity as a CBR Technique for Early Detection of Breast Cancer: An Egyptian Case Study", Information Systems Design and Intelligent Applications: Springer, pp. 449–456, 2015. Abstract
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Hegazy, O., O. S. Soliman, and M. A. Salam, Optimizing LS-SVM using Modified Cuckoo Search Algorithm (MCS) for Stock Price Prediction, , 2015. Abstract
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2014
Hegazy, O., O. S. Soliman, and A. A. Toony, "Hybrid of neuro-fuzzy inference system and quantum genetic algorithm for prediction in stock market", Issues in Business Management and Economics (IBME) Vol, vol. 2, no. 6, pp. 094–102, 2014. Abstract
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Bamatraf, S., M. Bamatraf, and O. Hegazy, "Keystroke Authentication on Enhanced Needleman Alignment Algorithm", Intelligent Information Management, vol. 2014: Scientific Research Publishing, 2014. Abstract
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Bamatraf, S., and M. Bamatraf, "Keystroke Authentication using Ant Colony Optimization Algorithm", International Journal of Engineering Research and Technology, vol. 3, no. 6 (June-2014): ESRSA Publications, 2014. Abstract
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Hegazy, O., O. S. Soliman, and M. A. Salam, "A Machine Learning Model for Stock Market Prediction", arXiv preprint arXiv:1402.7351, 2014. Abstract
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Kumar, M., and S. K. Rath, "Microarray data classification using Fuzzy K-Nearest Neighbor", Contemporary Computing and Informatics (IC3I), 2014 International Conference on: IEEE, pp. 1032–1038, 2014. Abstract
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Mohammed, S., O. Hegazy, and E. E. Hassanein, Secured Services in Cloud Computing Environment, : Citeseer, 2014. Abstract
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Hafez, M. M., A. H. El-Bastawissy, and O. M. Hegazy, "Using Information Gain in Data Fusion and Ranking", 8th WSEAS International Conference on Computer Engineering and Applications, Tenerife, Spain, pp. 157-165, 2014. Abstract
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2013
MohammedAbduljalil, S., O. Hegazy, and E. E. Hassanein, "A Novel Approach for Handling Security in Cloud Computing Services", International Journal of Computer Applications, vol. 69, no. 5: Foundation of Computer Science, 2013. Abstract
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Hafez, M. M., H. Ali, and O. M. Hegazy, "A Statistical Data Fusion Technique in Virtual Data Integration Environment", International Journal of Data Mining and Knowledge Management Process, vol. 3, no. 5, pp. 25–38, 2013. Abstract
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2012
Al-gedawy, M., and O. Hegazy, "Article: Enriching the Text Mining Capabilities by Transforming the Text Mining Domain to Chess Game Domain to Simulate Future Scenarios", International Journal of Computer Applications, vol. 45, no. 16, pp. 48-58, May, 2012. Abstract
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Al-gedawy, M., and O. Hegazy, "Article: Handling Text Mining Problems in Arabic using Domain-Specific Approach", International Journal of Computer Applications, vol. 45, no. 16, pp. 40-47, May, 2012. Abstract
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Yahya, O., O. Hegazy, and E. Ezat, "An efficient implementation of Apriori algorithm based on Hadoop-Mapreduce model", Proc. of the, 2012. Abstract
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2010
Ragab, S. R., and H. H. Ammar, "Object oriented design metrics and tools a survey", Informatics and Systems (INFOS), 2010 The 7th International Conference on: IEEE, pp. 1–7, 2010. Abstract
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