Search Results - (( structural testing mining algorithm ) OR ( java application optimisation algorithm ))
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Mine blast algorithm for optimization of truss structures with discrete variables
Published 2012“…The efficiency of the proposed optimizer is tested via the optimization of several truss structures with discrete variables and its performance is compared with several well-known metaheuristic algorithms. …”
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Framework for mining XML format business process log data
Published 2024“…The Flatten Sequential Structure Model (FSSM) was developed to transform tree-structured data into structured, preserving its structural integrity, thus facilitating comprehensive statistical analysis and data mining. …”
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Enhancing predictive crime mapping model using association rule mining for geographical and demographic structure
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Enhanced ontology-based text classification algorithm for structurally organized documents
Published 2015“…These proposed algorithms were tested on five different scientific paper datasets downloaded from different digital libraries and repositories. …”
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Medical diagnosis using data mining techniques / Shaiful Nizam Zamri
Published 2003“…At the end of this part will reviewed and studied about the mining algorithm the gathered from the research made earlier. …”
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Hybrid ant colony optimization and genetic algorithm for rule induction
Published 2020“…The performance of the proposed classifier was tested against other existing hybrid ant-mining classification algorithms namely, ACO/SA and ACO/PSO2 using classification accuracy, the number of discovered rules and model complexity. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
Published 2019“…The proposed algorithm is compared with the state-of-the-art feature selection algorithms using three different datasets. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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An accelerated and accurate three-dimensional ray tracing using red-black tree with facet mining and object bouncing techniques
Published 2015“…The red-black tree data structure offers a faster object searching operation while repeatedly performing intersection tests. …”
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A hybrid local search algorithm for minimum dominating set problems
Published 2022“…Compared to the literature, the proposed algorithm outperformed other algorithms in most of the tested instances. …”
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A hybrid local search algorithm for minimum dominating set problems
Published 2022“…Compared to the literature, the proposed algorithm outperformed other algorithms in most of the tested instances. …”
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Development of a Web Access Control Technique Based User Access Behavior
Published 2004“…The necessary steps for the proposed technique are identified, and algorithms of these steps are developed and implemented using Active Server Page (ASP) and then tested on two web pages. …”
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Enhanced mechanism to handle missing data of Hadith classifier
Published 2011“…The correct branch to take is unknown if a feature tested is missing, and the algorithm must employed enhanced mechanisms to handle missing values. …”
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Proceeding Paper -
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Multi agent and artificial neural networks prediction framework development for stock investment strategy
Published 2016“…WMA comprises of an algorithm for web mining which enables it to mine and extract semi-structured information and create new structured information using ontology. …”
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17
Multi-agent and artificial neural networks prediction framework development for stock investment strategy
Published 2016“…WMA comprises of an algorithm for web mining which enables it to mine and extract semi-structured information and create new structured information using ontology. …”
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18
Spatial Data Mining Model For Landfill Sites Suitability Mapping Based On Neural Networks And Multivariate Analysis
Published 2017“…An accuracy of 99.2% was achieved for the test dataset. The final structure of the trained network was used to produce the suitability index map. …”
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