Search Results - (( using interactive method algorithm ) OR ( software visualization clustering algorithm ))
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Fuzzy Soft Set Clustering for Categorical Data
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Clustering of Indonesian forest fires using self organizing maps
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Visualization of dengue incidences using expectation maximization (EM) algorithm
Published 2017“…R-GIS(R software) and clustering algorithm were used for year 2014 with several weeks to develop the relation between the visualization and prediction of reported incidences. …”
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Analysis of Microscopic Blood Samples for Detecting Malaria
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Clustering-based cloud migration strategies
Published 2018“…The k-means algorithm of the partitioning clustering method is used to analyze cloud migration strategies in this study. …”
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Clustering-based cloud migration strategies
Published 2018“…The k-means algorithm of the partitioning clustering method is used to analyze cloud migration strategies in this study. …”
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An interactive analytics approach for sustainable and resilient case studies: a machine learning perspective
Published 2023“…To show the methods applicability, this paper uses the proposed algorithm in three sustainable and resilient case studies. …”
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Efficient prime-based method for interactive mining of frequent patterns.
Published 2011“…The experimental results verify the efficiency of our method for interactive mining of frequent patterns. …”
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Detection of the river sediment deposition area at Kuala Perlis river mouth using Landsat 8 OLI within the years 2019, 2020 and 2021 / Nur Zakira Ain Zamrun
Published 2022“…Therefore, this study aimed to compare the best method for foreseeing river sediment deposition between K-Means unsupervised image classification machine learning and water spectral indices (MNDWI) to analyze the areas most influenced by deposited river sediments from the clustered images. Quantification of Landsat 8 OLI satellite images was applied using ENVI software on the study area for detecting sedimentation in the study area that used image data band correlation in deposited river sediment through unsupervised classifier algorithm and selection of spectral bands for MNDWI. …”
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Prime-based method for interactive mining of frequent patterns
Published 2010“…Since rerunning the mining algorithms from scratch can be very time consuming, researchers have introduced interactive mining to find proper patterns by using the current mining model with various minsup. …”
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A Two Pressure-Velocity Approach for Immersed Boundary Methods in Three Dimensional Incompressible Flows
Published 2013“…This paper describes innovative method for computing fluid solid interaction using Immersed boundary methods with two stage pressure-velocity corrections. …”
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Efficient and effective automated surveillance agents using kernel tricks
Published 2012“…In this paper we present three software-based agents built using kernel machines to perform automated, real-time intruder detection in surveillance systems. …”
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Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers
Published 2010“…Fuzzy Adaptive Genetic Algorithm techniques have been used recently for parameter control,…”
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A Multidimensional Search Space Using Interactive Genetic Algorithm
Published 2010“…This paper applied an Interactive Genetic Algorithm (IGA) technique to design an visualization environment for search space. …”
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Hybrid Artificial Bee Colony Algorithm for t-Way Interaction Test Suite Generation
Published 2019“…For this reason, combinatorial testing (CT) also known as t-way testing, is one of the well-known methods that are used for fault detections to many software systems. …”
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An Interaction Strategy for Testing Software Product Lines using the Bat-inspired Algorithm
Published 2015“…In line with the recent emergence of Search based Software Engineering (SBSE), this article presents a novel strategy for SPLs tests reduction using Bat-inspired algorithm (BA), called SPLBA. …”
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An experimental study of modified black hole algorithms
Published 2018“…The black hole has been found theoretically in the studies of the universe as a star having massive mass and gravity. The BH algorithm is a population-based method which uses more than one agent to find a solution in a search space. …”
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