Search Results - (( java application learning algorithm ) OR ( sets generation method algorithm ))
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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SEALiP: A simple and efficient algorithm for listing permutation via starter set method
Published 2013“…Algorithm for listing permutations for n elements is an arduous task.This paper attempts to introduce a novel method for generating permutations.The fundamental concept for this method is to seek a starter set to begin with as an initial set to generate all distinct permutations. …”
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Comparison between starter sets generation method for listing all permutations
Published 2013“…distinct permutations is an exhaustive process.Using starter set, the process of listing the permutations becomes easy.However a problem arises when the equivalence starter sets will generate the similar permutation and needed to be discarded.Two new recursive strategies are proposed to generate starter sets without generating equivalence starter sets namely circular and exchange two elements operation.Once the starter sets are obtained, the circular and reverse of circular operation are employed to produce distinct permutation from each starter sets.Computational advantages are presented comparing the results obtained by the new method with two other existing methods.The result indicates that the exchange two elements based strategy is faster than the circular based.Overall all new algorithms are better than existing algorithms in time execution.…”
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A permutation parallel algorithm under exchange restriction with message passing interface
Published 2014“…The permutation generation method is based on starter sets generation under exchange operation and exploited it for listing down all n! …”
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Direct approach for mining association rules from structured XML data
Published 2012“…The experiments were conducted on self generated data sets (7 different sets) and well known datasets (Mushroom & Cars Data set). …”
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A new starter sets generation method by fixing any element under exchange restriction
Published 2016“…Permutation array are of recent interest because of their application to data transmission over power lines.A new permutation technique based on distinct starter sets by employing circular and reversing operations.The crucial task is to generate the distinct starter sets by eliminating the equivalence starter sets.Meanwhile a new strategy for starter sets generation without generating its equivalence starter sets were developed and more efficient in terms of computation time compared to old method. …”
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A new method for starter sets generation by fixing any element
Published 2015“…a new permutation technique based on distinct starter sets was introduced by employing circular and reversing operations.The crucial task is to generate the distinct starter sets by eliminating the equivalence starter sets.Meanwhile new strategies for starter sets generation without generating its equivalence starter sets were developed and more efficient in terms of computation time compared to old method.However all these algorithms have limitations in terms of fixing element to construct the first set (starter set) to begin with.It would be interesting to derive new strategy by fixing an element in any position. …”
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Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem
Published 2008“…Genetic Algorithm as population-based methods are better identifying promising areas in the search space, while Tabu Search and Simulated Annealing as trajectory methods are better in exploring promising areas in search space. …”
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Monograph -
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New Learning Models for Generating Classification Rules Based on Rough Set Approach
Published 2000“…Also, the proposed models for learning in data sets generated the classification rules faster than other methods. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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New recursive circular algorithm for listing all permutations
Published 2014“…In this paper, a new recursive strategy is proposed to generate starter sets that will not incur equivalence by circular operation. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Parallel strategy for starter sets to list all permutation based on cycling restriction
Published 2011“…This paper presents a parallel implementation of a new permutation generation method.This permutation generation method is based on the starter sets for listing all the n! …”
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New Parameter Reduction of Soft Sets
Published 2012“…Several algorithms exist to address the issues concerning parameter reduction of soft sets. …”
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New recursive circular algorithm for listing all permutations
Published 2014“…However, a problem arises when the equivalence starter sets generate similar permutations and, therefore, willneed to be discarded. …”
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Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…As a result, the highest average accuracy generated which is 96.91% by using WBCD dataset. The average accuracy of Bat Algorithm is comparing with other methods. …”
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Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…The rest sets of experiments carried out to evaluate the proposed algorithms. …”
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