Search Results - (( based applications mining algorithm ) OR ( _ application ((new algorithm) OR (bee algorithm)) ))
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Efficient prime-based method for interactive mining of frequent patterns.
Published 2011“…During the mining process, the mining algorithm reduces the number of candidate patterns and comparisons by using a new candidate set called candidate head set and several efficient pruning techniques. …”
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Article -
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DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…Lying hidden in all this data is potentially useful information that is rarely made explicit or taken advantage. New tools based both on clever applications of established algorithms and on new methodologies, empower us to do entirely new things. …”
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Final Year Project -
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Using the bees algorithm to optimise a support vector machine for wood defect classification
Published 2007“…This paper describes a new application of the Bees Algorithm to the optimization of a Support Vector Machine (SVM) for the problem of classifying defects in plywood. …”
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A Data Mining Approach to Construct Graduates Employability Model in Malaysia
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Genetic Algorithm for Web Data Mining
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Project Paper Report -
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Application of Bee Colony Optimization (BCO) in NP-Hard Problems
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Final Year Project -
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Direct approach for mining association rules from structured XML data
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Thesis -
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Discovering association rules for mining images datasets: a proposal
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Data clustering using the bees algorithm
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An extended ID3 decision tree algorithm for spatial data
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Performance Enhancement Of Artificial Bee Colony Optimization Algorithm
Published 2013“…Artificial Bee Colony (ABC) algorithm is a recently proposed bio-inspired optimization algorithm, simulating foraging phenomenon of honeybees. …”
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Thesis -
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Utilisation of Exponential-Based Resource Allocation and Competition in Artificial Immune Recognition System
Published 2011“…There has been a rapid growth in using Artificial Immune Systems for applications in data mining and computational intelligence recently. …”
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Data normalization techniques in swarm-based forecasting models for energy commodity spot price
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Conference or Workshop Item -
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