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- Computing and Processing
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- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
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Farzana Kabir Ahmad
Also published under:
Affiliation
School of Computing, College of Arts and Sciences, Universiti Utara Malaysia, Sintok, Kedah, Malaysia
Topic
Active Support,Adaptive Technique,Aforementioned Concepts,Anxiety Disorders,Bat Algorithm,Binary Optimization,Class Labels,Classification Applications,Clustering Method,Clustering Performance,Cognitive Activity,Comparative Method,Computation Time,Computational Model,Control Techniques,Convergence Rate,Data Mining Applications,Dataset Characteristics,Dependent Type,Detection Model,Dotted Arrows,Effects Of Stimuli,Event Detection,Faster Rate,Feature Selection Methods,Feature Selection Problem,Feature Selection Step,Feature Space,Feature Subset,Fuzzy Logic,Global Dependencies,Global Search,High Order,High Reliability,Integrated Model,Intrusion Detection,Labeled Data Set,Learning Strategies,Local Dependence,Local Optimal Solution,Local Solution,Logistic Function,Main Approaches,Main Research Directions,Main Strategies,Markov Chain Monte Carlo,Model Domain,Multi-label,Multi-label Learning,Negative Dependence,
Biography
Farzana Kabir Ahmad received the bachelor’s (Hons.) and master’s degrees in computer science from the Universiti Sains Malaysia, in 2003 and 2005, respectively, and the Ph.D. degree in computer science (bioinformatics) from the Universiti Teknologi Malaysia, in 2012. She is currently a Senior Lecturer at the School of Computing, Universiti Utara Malaysia, Malaysia. Her doctoral work involves the development of a synergy network for breast cancer progression. Her main research interests include machine learning and data mining projects that seek hidden information from huge, complex datasets, and finally generate/built models to ease the human decision-making process. At the moment, most of her research is related to events detection, fake news detection, and predictive modeling main in social tension environment studies. She is engaging with big data analytics, bio-inspired algorithms, and text mining-based research.