Search Results - (( java simulation optimization algorithm ) OR ( process pruning techniques algorithm ))
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1
An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning
Published 2019“…The pruning process improves processing time. In addition, BOCEDS proposes an online micro-cluster energy updating function based on the spatial information of the data stream. …”
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2
A Performance Evaluation of Chi-Square Pruning Techniques in Class Association Rules Optimization
Published 2018“…The performance of associative classification is relied on the classification where the classification is worked based on the class association rules which generated from frequent rule mining process. To optimize the frequent itemsets based on the support value, in this research, we proposed a new optimization pruning technique to prune decision tree according to the correlation of each decision tree branches using genetic algorithm. …”
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3
A Performance Evaluation of Chi-Square Pruning Techniques in Class Association Rules Optimization
Published 2018“…The performance of associative classification is relied on the classification where the classification is worked based on the class association rules which generated from frequent rule mining process. To optimize the frequent itemsets based on the support value, in this research, we proposed a new optimization pruning technique to prune decision tree according to the correlation of each decision tree branches using genetic algorithm. …”
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4
IDSA: an efficient algorithm for skyline queries computation on dynamic and incomplete data with changing states
Published 2021“…Two optimization techniques have been incorporated in IDSA, namely: pruning and selecting superior local skylines. …”
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5
IDSA: an efficient algorithm for skyline queries computation on dynamic and incomplete data with changing states
Published 2021“…Two optimization techniques have been incorporated in IDSA, namely: pruning and selecting superior local skylines. …”
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6
An adaptive density-based method for clustering evolving data streams / Amineh Amini
Published 2014“…Furthermore, grid and core mini clusters are pruned using a pruning technique in the last component of online phase in order to keep the memory limited. …”
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7
Decision tree-based approach for online management of PEM fuel cells for residential application
Published 2004“…The main idea is to employ a classification technique, trained on a sufficient subset of data, to produce an estimate of the optimal setting without repeating the optimization process. …”
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8
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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9
Decision tree-based approach for online management of pem fuel cells for residential application
Published 2004“…The main idea was to employ a classification technique, trained on a sufficient subset of data, to produce an estimate of the optimal setting without repeating the optimization process. …”
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10
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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11
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
12
Spatial network k-Nearest neighbor: A survey and future directives
Published 2023“…However, among these techniques, which k- NN road network algorithm has the highest rate of query performance based on the selected parameters? …”
Conference Paper -
13
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
Review -
14
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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15
Efficient Skyline Computation on Uncertain Dimensions
Published 2021“…In the pruning process, we utilise a probability threshold value τ to accommodate the large skyline size reported by SkyQUD due to the computed probabilities. …”
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16
Integration of enchanced jump point search (JPS) algorithm with modified bresenham technique for path planning in virtual grid-based environment
Published 2018“…The first approach is the enhancement of the JPS technique. Basically, the original JPS technique consists of two rules; pruning rules and jumping rules. …”
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17
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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18
A numerical method for frequent pattern mining
Published 2009“…The PC_Miner algorithm traverses the PC_Tree by using an efficient pruning technique. …”
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19
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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20
SCSA: Evaluating skyline queries in incomplete data
Published 2019“…These two techniques help boost the skyline process and avoid many unnecessary pairwise comparisons between data items to prune the dominated data items. …”
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