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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…Although effective, the performance of the k-means clustering algorithm depends heavily on the initial centroids and the number of clusters, k. …”
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Article -
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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…Although effective, the performance of the k-means clustering algorithm depends heavily on the initial centroids and the number of clusters, k. …”
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Analysis Of Failure In Offline English Alphabet Recognition With Data Mining Approach
Published 2019“…Classification analysis was initially performed on all seven classifier’s algorithms at 10-fold dross validation mode. …”
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Monograph -
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Hybridised Network of Fuzzy Logic and a Genetic Algorithm in Solving 3-Satisfiability Hopfield Neural Networks
Published 2023“…First, we included fuzzy logic into the system to make the bipolar structure change to continuous while keeping its logic structure. Then, a Genetic Algorithm is employed to optimise the solution. Finally, we return the answer to its initial bipolar form by casting it into the framework of the hybrid function between the two procedures. …”
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A log file analysis technique using binary-based approach
Published 2014“…To validate the approach, performance comparison was also done against the popular Apriori algorithm. …”
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…In addition, ISSA was compared with four well-known optimization algorithms such as Genetic Algorithm, Particle Swarm Optimization, Grasshopper Optimization Algorithm, and Ant Lion Optimizer. …”
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Identification of debris flow initiation zones using topographic model and airborne laser scanning data
Published 2017“…Initiation areas offer a good overview to point out where field investigation should be conducted to establish a detailed hazard map. …”
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Conference or Workshop Item -
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Application of Optimization Methods for Solving Clustering and Classification Problems
Published 2011“…This method does not explicitly use derivatives, and is particularly appropriate when functions are non-smooth. Also a new algorithm for finding the initial point is proposed. …”
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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
Published 2018“…Classification and prediction are the functions provided by the data mining techniques that suit in EEG signal processing. …”
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Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia
Published 2019“…The sample data of the area was randomly divided into a training dataset: 70 % (448) for training the models and 30% (192) for validation. Spearman Correlation was used to checked multi-collinearity effect on debris flow conditioning factors; evaluations factors of Information Value (IV), Crammer V were assessed.Wrapper feature subset selection technique was used, different metaheuristic search algorithms (e.g. …”
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Thesis -
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A Preemptive behaviour-based malware detection through analysis of API calls sequence inspired by Human Immune System
Published 2024journal::journal article -
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Machine learning application in predicting anterior cruciate ligament injury among basketball players
Published 2025“…Machine learning-based data mining techniques have shown significant potential in identifying risk factors associated with ACL injury. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Machine-learning approach using thermal and synthetic aperture radar data for classification of oil palm trees with basal stem rot disease
Published 2021“…The machine learning algorithm consistently performs well when presented with a well-balanced dataset. …”
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Thesis -
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Evaluation of multiple In Situ and remote sensing system for early detection of Ganoderma boninense infected oil palm
Published 2018“…This study concluded that remote sensing approach combined with data mining approaches such as ANN algorithms have great potential in monitoring vast plantation areas in a rapid and inexpensive manner.…”
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Thesis
