Ghazi Al-Naymat
Ghazi Al-Naymat
Associate Professor of Computer Science, Princess Sumaya University for Technology
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TitelZitiert vonJahr
Sparsedtw: A novel approach to speed up dynamic time warping
G Al-Naymat, S Chawla, J Taheri
arXiv preprint arXiv:1201.2969, 2012
Relational processing of RDF queries: a survey
S Sakr, G Al-Naymat
ACM SIGMOD Record 38 (4), 23-28, 2010
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
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
Graph indexing and querying: a review
S Sakr, G Al‐Naymat
International Journal of Web Information Systems, 2010
Scientific data mining and knowledge discovery
MM Gaber
Springer, 2009
Graph data management: techniques and applications
S Sakr, E Pardede
Information Science Reference, 2012
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
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
Enumeration of maximal clique for mining spatial co-location patterns
G Al-Naymat
2008 IEEE/ACS International Conference on Computer Systems and Applications …, 2008
Efficient relational techniques for processing graph queries
S Sakr, G Al-Naymat
Journal of Computer Science and Technology 25 (6), 1237-1255, 2010
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
The impact of applying different preprocessing steps on review spam detection
W Etaiwi, G Naymat
Procedia computer science 113, 273-279, 2017
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
SMS spam detection using H2O framework
D Suleiman, G Al-Naymat
Procedia computer science 113, 154-161, 2017
Predicting hospital readmission among diabetics using deep learning
A Hammoudeh, G Al-Naymat, I Ghannam, N Obied
Procedia Computer Science 141, 484-489, 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
Classification of Voip And Non-Voip Traffic Using Machine Learning Approaches
G Al-Naymat, M AlKasassbeh, N Abu-Samhadanh, S Sakr
Journal of Theoretical and Applied Information Technology 92 (2), 403-414, 2016
Mitigating the influence of the curse of dimensionality on time series similarity measures
G Al-Naymat
International Journal of Computer Applications in Technology 52 (1), 94-105, 2015
Effects of dimensionality reduction techniques on time series similarity measurements
G Al-Naymat, J Taheri
2008 IEEE/ACS International Conference on Computer Systems and Applications …, 2008
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