| Sparsedtw: A novel approach to speed up dynamic time warping G Al-Naymat, S Chawla, J Taheri arXiv preprint arXiv:1201.2969, 2012 | 196 | 2012 |
| Detecting Distributed Denial of Service Attacks Using Data Mining Techniques M Alkasassbeh, G Al-Naymat, ABA Hassanat, M Almseidin International Journal of Advanced Computer Science & Applications 7 (1), 436-445, 2016 | 164 | 2016 |
| Relational processing of RDF queries: a survey S Sakr, G Al-Naymat ACM SIGMOD Record 38 (4), 23-28, 2010 | 164 | 2010 |
| Scientific data mining and knowledge discovery MM Gaber Springer, 2009 | 64 | 2009 |
| Graph indexing and querying: a review S Sakr, G Al‐Naymat International Journal of Web Information Systems, 2010 | 53 | 2010 |
| Graph data management: techniques and applications S Sakr, E Pardede Information Science Reference-Imprint of: IGI Publishing, 2011 | 52 | 2011 |
| Dimensionality reduction for long duration and complex spatio-temporal queries G Al-Naymat, S Chawla, J Gudmundsson Proceedings of the 2007 ACM symposium on Applied computing, 393-397, 2007 | 51 | 2007 |
| The impact of applying different preprocessing steps on review spam detection W Etaiwi, G Naymat Procedia computer science 113, 273-279, 2017 | 45 | 2017 |
| Fast mining of complex spatial co-location patterns using GLIMIT F Verhein, G Al-Naymat Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007 …, 2007 | 39 | 2007 |
| Predicting hospital readmission among diabetics using deep learning A Hammoudeh, G Al-Naymat, I Ghannam, N Obied Procedia Computer Science 141, 484-489, 2018 | 38 | 2018 |
| Towards generating realistic SNMP-MIB dataset for network anomaly detection M Al-Kasassbeh, G Al-Naymat, E Al-Hawari International Journal of Computer Science and Information Security 14 (9), 1162, 2016 | 38 | 2016 |
| A large-scale sentiment data classification for online reviews under apache spark S Al-Saqqa, G Al-Naymat, A Awajan Procedia Computer Science 141, 183-189, 2018 | 35 | 2018 |
| SMS spam detection using H2O framework D Suleiman, G Al-Naymat Procedia computer science 113, 154-161, 2017 | 32 | 2017 |
| Evaluation of classification algorithms for banking customer’s behavior under Apache Spark Data Processing System W Etaiwi, M Biltawi, G Naymat Procedia computer science 113, 559-564, 2017 | 28 | 2017 |
| Enumeration of maximal clique for mining spatial co-location patterns G Al-Naymat 2008 IEEE/ACS International Conference on Computer Systems and Applications …, 2008 | 28 | 2008 |
| Using machine learning methods for detecting network anomalies within SNMP-MIB dataset G Al-Naymat, M Al- kasassbeh, E Al-Hawari Int. J. Wireless and Mobile Computing 15 (1), 67-76, 2018 | 26 | 2018 |
| The Effects of Natural Language Processing on Big Data Analysis: Sentiment Analysis Case Study M Khader, A Awajan, G Al-Naymat ACIT 2018 - 19th International Arab Conference on Information Technology, 1-7., 2018 | 23* | 2018 |
| Arabic sentiment classification: a hybrid approach M Biltawi, G Al-Naymat, S Tedmori 2017 international conference on new trends in computing sciences (ICTCS …, 2017 | 18 | 2017 |
| Efficient relational techniques for processing graph queries S Sakr, G Al-Naymat Journal of Computer Science and Technology 25 (6), 1237-1255, 2010 | 18 | 2010 |
| Spotting the islamist radical within: Religious extremists profiling in the United State M Al-Zewairi, G Naymat Procedia Computer Science 113, 162-169, 2017 | 17 | 2017 |
Mouhammd AlkasassbehProfessor of computer science, Princess Sumaya University for Technology, JordanVerified email at psut.edu.jo
