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Ahmed Sultan Al-Hegami

Ahmed Sultan Alhegami

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affiliation: Sana'a University, Yemen

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Journal Articles

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2022
[j4]
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  - journals/complexity/AlsaeediA22
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  - https://dblp.org/rec/journals/complexity/AlsaeediA22
Hussein Alkhader Alsaeedi, Ahmed Sultan Alhegami:
An Incremental Interesting Maximal Frequent Itemset Mining Based on FP-Growth Algorithm. Complex. 2022: 1942517:1-1942517:20 (2022)
2020
[j3]
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  - journals/ijcomputing/AlhegamiA20
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Ahmed Sultan Alhegami, Hussein Alkhader Alsaeedi:
A Framework for Incremental Parallel Mining of Interesting Association Patterns for Big Data. Int. J. Comput. 19: 106-117 (2020)
2012
[j2]
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  - journals/iajit/YafiAAB12
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Eiad Yafi, Ahmed Sultan Al-Hegami, Mohd. Afshar Alam, Ranjit Biswas:
YAMI: Incremental Mining of Interesting Association Patterns. Int. Arab J. Inf. Technol. 9(6): 504-510 (2012)
2009
[j1]
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Ahmed Sultan Al-Hegami:
Pruning based interestingness of mined classification patterns. Int. Arab J. Inf. Technol. 6(4): 336-343 (2009)

Conference and Workshop Papers

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2006
[c4]
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  - conf/imecs/Al-HegamiK06
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Ahmed Sultan Al-Hegami, Harleen Kaur:
On the Discovery of Interesting Patterns from Evolving Spatial Data Mining Environments. IMECS 2006: 342-345
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Harleen Kaur, Siri Krishan Wasan, Ahmed Sultan Al-Hegami, Vasudha Bhatnagar:
A Unified Approach for Discovery of Interesting Association Rules in Medical Databases. ICDM 2006: 53-63
2005
[c2]
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  - conf/wec/BhatnagarAK05
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Vasudha Bhatnagar, Ahmed Sultan Al-Hegami, Naveen Kumar:
A Hybrid Approach for Quantification of Novelty in Rule Discovery. WEC (2) 2005: 39-42
2004
[c1]
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  - conf/dawak/Al-HegamiBK04
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Ahmed Sultan Al-Hegami, Vasudha Bhatnagar, Naveen Kumar:
Novelty Framework for Knowledge Discovery in Databases. DaWaK 2004: 48-57

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