Publications

Eldawy, E. E. O., A. Hendawi, M. Abdalla, and H. M. O. Mokhtar, "FraudMove: Fraud Drivers Discovery Using Real-Time Trajectory Outlier Detection", isprs International Journal of Geo-Information, vol. 10, issue 11, pp. 1-22, 2021.

Mohamed, D., A. El-Kilany, and H. M. O. Mokhtar, "Academic Articles Recommendation Using Concept- Based Representation", Intelligent Systems Conference (IntelliSys), 3-4 September, 2020.

Abdalla, M., A. Hendawi, H. M. O. Mokhtar, N. ElGamal, J. Krumm, and M. Ali, "DeepMotions: A Deep Learning System For Path Prediction Using Similar Motions.", IEEE Access, vol. 8, pp. 23881 - 23894, 2020/01/15. Abstract

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Habib, W., H. Mokhtar, and M. E. El-Sharkawi, "Weight-Based K-Truss Community Search via Edge Attachment", IEEE Access, vol. 8, pp. 148841 - 148852, 08, 2020. Abstract

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Saddad, E., A. El-Bastawissy, H. M. O. Mokhtar, and M. Hazman, "Lake Data Warehouse Architecture for Big Data Solutions", International Journal of Advanced Computer Science and Applications, vol. 11, 01, 2020. Abstract

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Abdalla, M., H. M. O. Mokhtar, and N. ElGamal, "HarmonyMoves: A Unified Prediction Approach for Moving Object Future Path", (IJACSA) International Journal of Advanced Computer Science and Applications, vol. 11, issue 1, pp. 637-644, 2020.

Wagih, H. M., and H. M. O. Mokhtar, "Ridology: An Ontology Model for Exploring Human Behavior Trajectories in Ridesharing Applications", Recent Advances in Intelligent Systems and Smart Applications, Cham, Springer International Publishing, pp. 553–567, 2020. Abstract

The increasing adoption of social network applications has been an important source of information nowadays. The analysis of human behaviors in social networks has been brought to the forefront of several studies. Location-Based Social Networks (LBSN) are one of the possible means that allow the prediction of human behaviors through the efficient analysis of user's mobility patterns. Despite the remarkable progress in this research direction, however, LBSN is still hindered by the lack of literature defining the semantic aspects of the user's mobility. This research presents a contribution to the latest knowledge representation languages and Semantic Web technologies. We focus on studying human behavior mobility which is the core in location recommendation systems. Bringing to the ridesharing context, an ontology model with its underlying description logics to efficiently annotate human mobility is presented. Finally, experimental results, performed on two location-based social networks, namely, Brightkite (https://snap.stanford.edu/data), and BlaBlaCar (https://www.blablacar.co.uk/) are presented.

Wagih, H. M., H. M. O. Mokhtar, and S. S. Ghoniemy, "SIMBA: A Semantic-Influence Measurement Based Algorithm for Detecting Influential Diffusion in Social Networks", IEEE 13th International Conference on Semantic Computing (ICSC), Newport Beach, California, Jan. 30 - Feb. 1, 2019.

Wageeh, H., H. Mokhtar, and S. Ghoniemy, "Exploring Trusted Relations among Virtual Interactions in Social Networks for Detecting Influence Diffusion", ISPRS Int. J. Geo-Information , vol. 8, issue 9, pp. 415, 2019/09/16. Abstract

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Wagih, H. M., H. M. O. Mokhtar, and S. S. Ghoniemy, "Strum: A Semantic Trust-Based Miner Model for Detecting Influential Spreaders in Social Networks", International Conference Big Data Analytics, Data Mining and Computational Intelligence, Porto, Portugal, 16 – 18 July, 2019.

Moniem, D. A. A. E., and H. M. O. Mokhtar, "Check2: A Framework for Fake Check-in Detection", Intelligent Computing Proceedings of the 2019 Computing Conference, Vol. 2, London, United Kingdom, Springer, pp. 1-19, 2019.

Gomaa, I., and H. M. O. Mokhtar, "Continuous Skyline Queries in Distributed Environment", International Journal of Data Science, vol. 4, pp. 45-62, 2019.

M.Hassan, M., and H. M. O. Mokhtar, "Investigating autism etiology and heterogeneity by decision tree algorithm", Informatics in Medicine Unlocked, vol. 16, 2019.

Saadon, A., and H. M. O. Mokhtar, "Survey on Iterative and Incremental Approaches in Distributed Computing Environment ", International Journal of Data Science, vol. 4, pp. 18-30, 2019.

Hasan, M. M., and H. M. O. Mokhtar, "F2F: Friend-to-Friend Semantic path Recommendation", International Journal of Applied Engineering Research, vol. 12, issue 13, pp. 3724-3729, 2017.

Saadon, A. B. G., and H. M. O. Mokhtar, "iiHadoop: An Asynchronous Distributed Framework for Incremental Iterative Computations", Journal of Big Data, vol. 4, issue 1, pp. 24-54, 2017.

Ismail, A. S., lHaytham Al-Feel, and H. M. O. Mokhtar, "Bridging the Gap for Retrieving DBpedia Data", 4th International Conference on e-Technologies and Networks for Development, Lodz University of Technology, Poland, September 21-23, 2015.

Wagih, H. M., and H. M. O. Mokhtar, "HBTOnto: An Ontology Model for Analyzing Human Behavior Trajectories", 11th International Conference on Semantics, Knowledge and Grids (SKG 2015), Beijing, August 19-21, 20, 2015.

Ismail, A. S., H. Al-Feel, and H. M. O. Mokhtar, "Querying DBpedia Using HIVE-QL", 14th International Conference on Telecommunications and Informatics (TELE-INFO '15), Sliema,Malta, August 17-19, 20, 2015.

Mohy, N. N., H. M. O. Mokhtar, and M. E. El-Sharkawi, "Delegation Enabled Provenance-based Access Control Model", Science and Information Conference 2015 {SAI}, London, UK, June 28 - 30, 2014, 2015. Abstract

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Habib, W. M. A., H. M. O. Mokhtar, and M. E. El-Sharkawi, "MapReduce Algorithms for Processing Universal Quantifier Queries", 2014 {IEEE} 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27 - July 2, 2014, pp. 578–585, 2014. Abstract

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Habib, W. M. A., H. M. O. Mokhtar, and M. E. El-Sharkawi, "Processing universal quantification queries using MapReduce", International Conference on Big Data and Smart Computing, {BIGCOMP} 2014, Bangkok, Thailand, January 15-17, 2014, pp. 149–154, 2014. Abstract

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Hoda M. O. Mokhtar

Professor

Recent Publications