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Direct approach for mining association rules from structured XML data
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Mining Sequential Patterns using I-PrefixSpan
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Frequency variations measurement techniques in power quality monitoring
Published 2008“…Power quality is a term used to describe electric power that motivates an electrical load and the load's ability to function properly with that electric power. …”
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Some metaheuristic algorithms for solving multiple cross-functional team selection problems
Published 2022“…We introduced a method that combines a compromise programming (CP) approach and metaheuristic algorithms, including the genetic algorithm (GA) and ant colony optimization (ACO), to solve the proposed optimization problem. …”
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Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function
Published 2019“…The optimisation technique consists of exact algorithm, and approximate algorithm. The approximate algorithm is a good technique to be highlighted since it is a feasible way to develop an easier, more convenient curve fitting method, that will save great computation, solve a large scale problem and produce a better quality end result. …”
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Improved gravitational search algorithm for optimal placement and sizing of distributed generation for power quality enhancement
Published 2017“…The load flow algorithms from MATPOWER, harmonic load flow and method of fault position has been integrated in MATLAB environment to solve the multi-objective function. …”
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Performance evaluation of heuristic methods in solving symmetric travelling salesman problems
Published 2016“…The modified RTS algorithm also performed better compared to the existing heuristic methods. …”
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Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network
Published 2024journal::journal article -
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Fuzzy Type-1 Triangular Membership Function Approximation Using Fuzzy C-Means
Published 2020“…Though membership functions are determined through expert's opinion, however, the one estimated through heuristic algorithms is the preferable methods. …”
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Conference or Workshop Item -
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Contrast Image Quality Assessment Algorithm Based on Probability Density Functions Features
Published 2023Book Chapter -
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Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy
Published 2014“…This algorithm is used to obtain the best solution or best fitness value from the initial random threshold values, and to evaluate the quality of a solution, correlation function is used. …”
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Global Particle Swarm Optimization for High Dimension Numerical Functions Analysis
Published 2014“…The proposed GPSO algorithm is validated on a 12-benchmark mathematical function and compared with three different types of PSO techniques. …”
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Denosing of natural image based on non-linear threshold filtering using discrete wavelet transformation
Published 2014“…Calculating the value of thresholding, the way it works in the algorithm (derivation of thresholding function) and the type of wavelet mother functions, are pivotal issues in the field of denoising based wavelet approach. …”
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Forecasting particulate matter concentration using linear and non-linear approaches for air quality decision support
Published 2023“…Air quality; Decision support systems; Fog; Forecasting; Functions; Linear regression; Nonlinear systems; Particles (particulate matter); Radial basis function networks; Forecasting algorithm; Forecasting performance; Malaysia; Multi layer perceptron; Multiple linear regressions; Particulate Matter; Radial basis functions; Urban and rural areas; Urban growth; air quality; algorithm; decision support system; early warning system; forecasting method; multiple regression; particulate matter; performance assessment; precision; Malaysia; West Malaysia…”
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