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Aida Mustapha
Researcher at Universiti Tun Hussein Onn Malaysia
Publications - 333
Citations - 3385
Aida Mustapha is an academic researcher from Universiti Tun Hussein Onn Malaysia. The author has contributed to research in topics: Computer science & Feature selection. The author has an hindex of 23, co-authored 307 publications receiving 2362 citations. Previous affiliations of Aida Mustapha include University of Maiduguri & University of Ottawa.
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Proceedings ArticleDOI
Data quality: A survey of data quality dimensions
Fatimah Sidi,P. H. Shariat Panahy,Lilly Suriani Affendey,Marzanah A. Jabar,Hamidah Ibrahim,Aida Mustapha +5 more
TL;DR: This paper focuses on systematic review of data quality dimensions in order to use at proposed framework which combining data mining and statistical techniques to measure dependencies among dimensions and illustrate how extracting knowledge can increase process quality.
Journal ArticleDOI
Depression of Membrane-Bound Na+-K+-ATPase Activity Induced by Free Radicals and by Ischemia of Kidney
TL;DR: A partially purified, membrane-bound Na+-K+-ATPase fraction, prepared from the outer medulla of porcine kidney, was incubated in the presence of0.1 mM FeCl3, 1 mM ADP, and 0.1-100 mM H2O2 for either 15 or 30 min at 37 degrees C and showed decreases in enzyme activity, turnover rate, and SH content without suppressing MDA formation.
Journal ArticleDOI
Examining multiple feature evaluation and classification methods for improving the diagnosis of Parkinson’s disease
Salama A. Mostafa,Aida Mustapha,Mazin Abed Mohammed,Raed I. Hamed,N. Arunkumar,Mohd Khanapi Abd Ghani,Mustafa Musa Jaber,Shihab Hamad Khaleefah +7 more
TL;DR: Results show that the MFEA of the multi-agent system finds the best set of features and improves the performance of the classifiers’ diagnosis results.
Journal ArticleDOI
An Analysis of Ontology Engineering Methodologies: A Literature Review
TL;DR: A critical analysis and comparison of several ontology engineering methodologies showed that there is no completely mature methodology and this research may act as a preliminary guide to come with a state of art ontology Engineering methodology, bridging up the existing gaps and shortfalls.
Journal ArticleDOI
Comprehensive Review of Artificial Intelligence and Statistical Approaches in Distributed Denial of Service Attack and Defense Methods
Bashar Ahmed Khalaf,Salama A. Mostafa,Aida Mustapha,Mazin Abed Mohammed,Wafaa Mustafa Abduallah +4 more
TL;DR: This review paper focuses on the most common defense methods against DDoS attacks that adopt artificial intelligence and statistical approaches and classifies and illustrates the attack types, the testing properties, the evaluation methods and the testing datasets that are utilized in the methodology of the proposed defense methods.