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Researchers
Shadi Al Shehabı
Shadi Al Shehabı
Asst. Prof.
UNIVERSITY OF TURKISH AERONAUTICAL ASSOCIATION
Publication
4
Review
1
CrossRef Cited
4
4
Publication
1
Review
4
CrossRef Cited
0000-0003-0545-9104
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Summary
Publications
Peer Review
Cited
Research Fields
Information and Computing Sciences
Artificial Intelligence (Other)
Institution
UNIVERSITY OF TURKISH AERONAUTICAL ASSOCIATION
Publications
MARCMV: Mining Multi-View Association Rules from Clustered Multi-Views
Authors:
Shadi Al Shehabı
,
Meltem Yıldırım Imamoglu
Published: 2023 ,
International Journal of Computational and Experimental Science and Engineering
DOI: 10.22399/ijcesen.1292987
FAVORITE
0
TOTAL DOWNLOAD COUNT
190
0
FAVORITE
190
TOTAL DOWNLOAD COUNT
PTGNG: An Evolutionary Approach for Parameter Optimization in the Growing Neural Gas Algorithm
Authors:
Mohanad Dhari Jassam Alalkawı
,
Shadi Al Shehabı
,
Meltem Yıldırım Imamoglu
Published: 2023 ,
International Journal of Computational and Experimental Science and Engineering
DOI: 10.22399/ijcesen.1282146
FAVORITE
0
TOTAL DOWNLOAD COUNT
184
0
FAVORITE
184
TOTAL DOWNLOAD COUNT
MARC: Mining Association Rules from datasets by using Clustering models
Authors:
Shadi Al Shehabı
,
Abdullatif Baba
Published: 2021 ,
International Journal of Multidisciplinary Studies and Innovative Technologies
DOI: -
FAVORITE
0
TOTAL DOWNLOAD COUNT
359
0
FAVORITE
359
TOTAL DOWNLOAD COUNT
Quantity-Based Negative Association Rule Mining Using Unsupervised Machine Learning Techniques
Authors:
Tansel Dökeroğlu
, Zahraa Mohammed Malik Malık,
Shadi Al-shehabı
Published: 2018 ,
Duzce University Journal of Science and Technology
DOI: 10.29130/dubited.414657
FAVORITE
0
TOTAL DOWNLOAD COUNT
1286
0
FAVORITE
1286
TOTAL DOWNLOAD COUNT
Articles published in
Duzce University Journal of Science and Technology
International Journal of Computational and Experimental Science and Engineering
International Journal of Multidisciplinary Studies and Innovative Technologies
Reviews
Turkish Journal of Science and Technology
Publications
Quantity-Based Negative Association Rule Mining Using Unsupervised Machine Learning Techniques
Authors:
Tansel Dökeroğlu
, Zahraa Mohammed Malik Malık,
Shadi Al-shehabı
Published: 2018 ,
Duzce University Journal of Science and Technology
DOI: 10.29130/dubited.414657
CITED
4
FAVORITE
0
TOTAL DOWNLOAD COUNT
1286
4
CITED
0
FAVORITE
1286
TOTAL DOWNLOAD COUNT
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