What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Algorithm
Ahamad Tajudin Khader spends much of his time researching Artificial intelligence, Harmony search, Mathematical optimization, Cluster analysis and Data mining.
The Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.
The study incorporates disciplines such as Evolutionary algorithm, Natural selection and Process in addition to Harmony search.
Ahamad Tajudin Khader combines subjects such as Domain and Algorithm with his study of Mathematical optimization.
His research in Cluster analysis intersects with topics in Optimization problem, Swarm behaviour and Feature selection.
His Data mining study incorporates themes from Correlation clustering, Document clustering and Krill herd algorithm.
His most cited work include:
- A comprehensive review (354 citations)
- Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering (269 citations)
- A new feature selection method to improve the document clustering using particle swarm optimization algorithm (241 citations)
What are the main themes of his work throughout his whole career to date?
Ahamad Tajudin Khader focuses on Artificial intelligence, Mathematical optimization, Harmony search, Algorithm and Optimization problem.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Data mining and Pattern recognition.
His research integrates issues of Entropy, Computational intelligence and Krill herd algorithm in his study of Data mining.
His work deals with themes such as Selection and Benchmark, which intersect with Mathematical optimization.
His Harmony search research is multidisciplinary, relying on both Convergence, Particle swarm optimization and Natural selection.
As part of the same scientific family, Ahamad Tajudin Khader usually focuses on Optimization problem, concentrating on Swarm behaviour and intersecting with Time horizon.
He most often published in these fields:
- Artificial intelligence (40.00%)
- Mathematical optimization (32.35%)
- Harmony search (25.29%)
What were the highlights of his more recent work (between 2017-2021)?
- Algorithm (24.12%)
- Cluster analysis (17.06%)
- Optimization problem (18.24%)
In recent papers he was focusing on the following fields of study:
Algorithm, Cluster analysis, Optimization problem, Data mining and Pattern recognition are his primary areas of study.
His Cuckoo search, Bat algorithm, Local search and Particle swarm optimization study in the realm of Algorithm interacts with subjects such as Survival of the fittest.
Cluster analysis is closely attributed to Feature selection in his study.
His Optimization problem research includes themes of Swarm intelligence, Metaheuristic and Benchmark.
His Data mining research incorporates themes from Entropy, Computational intelligence and Krill herd algorithm.
His studies deal with areas such as Noise reduction and Artificial intelligence as well as Pattern recognition.
Between 2017 and 2021, his most popular works were:
- Hybrid clustering analysis using improved krill herd algorithm (238 citations)
- A combination of objective functions and hybrid Krill herd algorithm for text document clustering analysis (171 citations)
- Bat-inspired algorithms with natural selection mechanisms for global optimization (43 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Algorithm
His main research concerns Cluster analysis, Algorithm, Data mining, Krill herd algorithm and Harmony search.
As part of his studies on Cluster analysis, Ahamad Tajudin Khader often connects relevant areas like Optimization problem.
His study on Local search, Bat algorithm, Swarm intelligence and Metaheuristic is often connected to Survival of the fittest as part of broader study in Algorithm.
Ahamad Tajudin Khader focuses mostly in the field of Data mining, narrowing it down to matters related to Computational intelligence and, in some cases, Document clustering.
His Krill herd algorithm research includes elements of Entropy, Swarm behaviour and Text document.
His Harmony search research focuses on Mean squared error and how it relates to Genetic algorithm, Artificial intelligence and Pattern recognition.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
