Publications

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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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T
Mokhtar, H. M. O., and N. Adel, "Transaction processing using thread-to-metadata", 16th International Database Engineering {&} Applications Symposium, {IDEAS} '12, Prague, Czech Republic, August 8-10, 2012, pp. 230–234, 2012. Abstract
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S
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.
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.
Esheiba, L., H. M. O. Mokhtar, and M. E. El-Sharkawi, "Spatio-Temporal Queries for moving objects Data warehousing", International Journal of Database Management Systems, vol. 5, issue 3, pp. 1-13, 2013. Abstract

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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.
R
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.

Q
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.
P
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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N
Mokhtar, H. M. O., and N. A. Hussein, "A novel mechanism for enhancing software transactional memory", 18th International Database Engineering {&} Applications Symposium, {IDEAS} 2014, Porto, Portugal, July 7-9, 2014, pp. 278–283, 2014. Abstract
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M
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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L
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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K
Menshawy, D. E. L., H. M. O. Mokhtar, and O. Hegazy, "A Keystroke Dynamics Based Approach for Continuous Authentication", Beyond Databases, Architectures, and Structures - 10th International Conference, {BDAS} 2014, Ustron, Poland, May 27-30, 2014. Proceedings, pp. 415–424, 2014. Abstract
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I
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. 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.
H
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.
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.
F
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.
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.
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.
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.
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.
E
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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D
Ossama, O., H. M. O. Mokhtar, and undefined, "Dynamic k-means: a clustering technique for moving object trajectories", {IJIIDS}, vol. 6, no. 4, pp. 307–327, 2012. Abstract

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El-Dawy, E., H. M. O. Mokhtar, and A. El-Bastawissy, "Directional Skyline Queries", Data and Knowledge Engineering - Third International Conference, {ICDKE} 2012, Wuyishan, Fujian, China, November 21-23, 2012. Proceedings, pp. 15–28, 2012. Abstract

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