Search Results - (( evolution classification parallel algorithm ) OR ( program application mining algorithm ))
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Artificial neural network learning enhancement using Artificial Fish Swarm Algorithm
Published 2011“…Artificial Neural Network (ANN) is a new information processing system with large quantity of highly interconnected neurons or elements processing parallel to solve problems.Recently, evolutionary computation technique, Artificial Fish Swarm Algorithm (AFSA) is chosen to optimize global searching of ANN.In optimization process, each Artificial Fish (AF) represents a neural network with output of fitness value.The AFSA is used in this study to analyze its effectiveness in enhancing Multilayer Perceptron (MLP) learning compared to Particle Swarm Optimization (PSO) and Differential Evolution (DE) for classification problems.The comparative results indeed demonstrate that AFSA show its efficient, effective and stability in MLP learning.…”
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Prime-based method for interactive mining of frequent patterns
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Genetic Algorithm for Web Data Mining
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Tracking student performance in introductory programming by means of machine learning
Published 2023Conference Paper -
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Pattern extraction for programming performance evaluation using directed apriori
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Data mining in network traffic using fuzzy clustering
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Data mining in network traffic using fuzzy clustering
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Recognizing complex human activities using hybrid feature selections based on an accelerometer sensor
Published 2017“…Wearable sensor technology is evolving in parallel with the demand for human activity monitoring applications. …”
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Using language-based search in mining large software repositories
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Enhancing predictive crime mapping model using association rule mining for geographical and demographic structure
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Using language-based search in mining large software repositories
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Comparison of algorithm Support Vector Machine and C4.5 for identification of pests and diseases in chili plants
Published 2019“…Information about chili pests is collected so that it becomes a database that can be used to identify disease pests using the data mining method. The use of data mining algorithms is expected to help in the identification of pests and diseases in chili plants. …”
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