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Ahmed Sultan Al-Hegami
Ahmed Sultan Al-Hegami
Professor of Artificial Intelligence and Intelligent Information Systems, University of Sana'a
在 su.edu.ye 的电子邮件经过验证
标题
引用次数
引用次数
年份
Advances in Data Mining: Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, 6th Industrial Conference on Data Mining, ICDM 2006, Leipzig, Germany, July …
P Perner
Springer Science & Business Media, 2006
30*2006
Classical and incremental classification in data mining process
AS Al-Hegami
Int. J. Comput. Sci. Netw. Security 7 (12), 179-187, 2007
262007
YAMI: Incremental Mining of Interesting Association Patterns.
E Yafi, AS Al-Hegami, Mohd. Afshar Alam, R Biswas
Int. Arab J. Inf. Technol. 9 (6), 504-510, 2012
252012
Novelty framework for knowledge discovery in databases
AS Al-Hegami, V Bhatnagar, N Kumar
Data Warehousing and Knowledge Discovery: 6th International Conference …, 2004
232004
Novelty as a measure of interestingness in knowledge discovery
V Bhatnagar, AS Al-Hegami, N Kumar
International Journal of Computer and Information Engineering 2 (9), 3268-3273, 2008
192008
A unified approach for discovery of interesting association rules in medical databases
H Kaur, SK Wasan, AS Al-Hegami, V Bhatnagar
Advances in Data Mining. Applications in Medicine, Web Mining, Marketing …, 2006
182006
A biomedical named entity recognition using machine learning classifiers and rich feature set
AS Al-Hegami, AMF Othman, FT Bagash
International Journal of Computer Science and Network Security (IJCSNS) 17 …, 2017
172017
Incremental mining of shocking association patterns
E Yafi, AS Al-Hegami, MA Alam, R Biswas
Proceedings of World Academy of Science, Engineering and Technology 37, 2009
122009
A Hybrid Approach for Quantification of Novelty in Rule Discovery.
V Bhatnagar, AS Al-Hegami, N Kumar
WEC (2), 39-42, 2005
112005
Subjective measures and their role in data mining process
AS Al-Hegami
Proceedings of the 6th International Conference on Cognitive Systems, New …, 2004
112004
A framework for incremental parallel mining of interesting association patterns for big data
AS Alhegami, HA Alsaeedi
International Journal of Computing 19 (1), 106-117, 2020
72020
An Incremental Interesting Maximal Frequent Itemset Mining Based on FP‐Growth Algorithm
HA Alsaeedi, AS Alhegami
Complexity 2022 (1), 1942517, 2022
62022
An ontology framework based on web usage mining
AS Al-Hegami, MS Kaity
Int J Appl Inf Syst 6 (9), 28-35, 2014
52014
Pushing novelty criterion into incremental mining algorithm
AS Al-Hegami
International Journal of Computer Science and Network Security 7, 45-53, 2007
52007
A particle swarm based approach for classification of cancer based on CT scan
AS Al-Hegami, ASH Bin-Ghodel
Int. J. Comput. Applic 178, 2019
42019
Pruning based interestingness of mined classification patterns.
AS Al-Hegami
Int. Arab J. Inf. Technol. 6 (4), 336-343, 2009
32009
Data Mining Techniques for Mining Query Logs in Web Search Engines
AS Al-Hegami, H Al-Omaisi
IJCSN International Journal of Computer Science and Network 6 (2), 237-253, 2017
22017
A framework for incremental mining of interesting temporal association rules
AS Al-Hegami
International Journal of Computer Applications 131 (8), 28-33, 2015
22015
Using nested tables and mutation in genetic algorithms (NTMGA) to solve timetabling problem in object-relational model
AS Al-Hegami, W Al-Qubati, A Zahary
International Journal of Computer Applications 54 (9), 2012
12012
Intelligent discovery of novel classification rules based on genetic algorithms
FNA Alwesabi, AS Al-Hegami
Journal of Intelligent Computing Volume 1 (2), 53, 2010
12010
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