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Tag cloud algorithm with the inclusion of personality traits
Published 2014“…Therefore, the main objective of this study is to make tag cloud algorithm with the inclusion of personality traits by adjusting two prominent visual features (color and shape) as an integration of layout.In addition, the utilization of RBS (rule bas e system) approach as artificial intelligent method is also taken into account to make knowledge base that stores the relationship between the proper personality elements and particular layout.This paper also discusses findings from satisfaction evaluation of prototyping, which comprises three dimensions facet: overall layout, color, and shape .The findings showed that the majority mean value for each dimension is categorized in agree scale (6-point), which indicates that respondents are satisfied with the tag cloud layout display generated by proposed algorithm.The findings suggest interface designers to be careful in selecting the appropriate tag clouds layout to be displayed for users with varying personality differences.…”
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Swarm intelligence optimization algorithms: a review
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Classification and detection of intelligent house resident activities using multiagent
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Swarm intelligence algorithms’ solutions to the travelling salesman’s problem
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Computational intelligence in steganalysis environment
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Swarm intelligence algorithms' solutions to the travelling salesman's problem
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Designing and Developing an Intelligent Congkak
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African Buffalo Optimization (ABO): A New Metaheuristic Algorithm
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Optimization of user comfort index for ambient intelligence using dynamic inertia weight artificial bees colony optimization algorithm
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Bats echolocation-inspired algorithms for global optimisation problems
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Detection of eye movements based on EEG signals and the SAX algorithm
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A Survey of Stochastic processes in Wireless Sensor Network: a Power Management Prospective
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An application of hybrid swarm intelligence algorithms for dengue outbreak prediction
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Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of blogas production
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