Search Results - (( developing using prioritization algorithm ) OR ( java application mining algorithm ))
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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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Multi-criteria evolutionary regression test prioritization for dynamic object-oriented programs
Published 2019“…This paper proposed new regression testing technique that uses multiple coverage criteria for regression test prioritization of dynamic object-oriented language using genetic algorithm. …”
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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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Multi-source data fusion framework for remote triaging and prioritization in telemedicine
Published 2015“…In addition to that, the demonstration on how MSHA can be applied in a healthcare telemedicine environment was presented using a proposed scenario. Simulation results, based on datasets for different symptoms of heart diseases,demonstrate the superiority of MSHA algorithms as compared to benchmark algorithms in terms of triaging and prioritizing patients remotely and also in terms of data fusion processing in healthcare application. …”
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Evolutionary cost cognizant regression test prioritization for object-oriented programs based on fault dependency
Published 2018“…Furthermore, they did not consider incorporating evolution process such as applying genetic algorithms to their technique. In this work, we proposed an evolutionary cost-cognizant regression testing approach that prioritizes test case according to the rate of severity detection of test cases connected with dependent faults using genetic algorithms. …”
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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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An enhancement of multi-factor weighted approach technique in prioritizing test cases by comparing similarity distance
Published 2025“…Test case prioritization (TCP) is used to prioritize and schedule test case execution to conduct higher-priority test cases to optimize the software testing process. …”
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Generating driver prioritization for Jabatan Perkhidmatan Awam (JPA) – Malaysia Foresight Institute (MFI) collaboration scenario building workshop using Bayesian technique / Wan Nu...
Published 2015“…This project will apply the use of adaptive Bayesian network algorithm as it is more efficient and the most suitable than some of the possible techniques which have been studied.…”
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Late Acceptance Hill Climbing Based Strategy for Test Redundancy Reduction and Prioritization
Published 2015“…To address redundancy issues, many useful strategies (e.g. HGS, GE, and GRE) have been developed in the literature. …”
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Web-based system for prioritization of research area in FSKM: a web system engineering approach / Mohd Azmeer Omar
Published 2012“…Then the most important research is calculated using scoring algorithm. The systems is developed using web system engineering approach with the latest Java technology and web framework to simplify development process. …”
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Network Traffic Classification Analysis on Differentiated Services Code Point Using Deep Learning Models for Efficient Deep Packet Inspection
Published 2024“…The data was gathered using real-time packet capturing tools which were then processed and moved with model development using different deep learning algorithms such as, LSTM, MLP, RNN and Autoencoders. …”
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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…This research employed a modified version of the Design Science Research Methodology (DSRM), streamlined into five stages: problem identification, theoretical study, framework development, evaluation, and reporting. The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. …”
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A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network
Published 2014“…To develop proposed model, with the aim of obtaining the best array of features, first, feature ranking techniques such as the Fisher's discriminant ratio and class separability criteria were used to prioritize features. …”
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Development of reliability-centered maintenance model using linguistic failure mode and effect analysis
Published 2019“…In the proposed RCM model, linguistic failure mode and effect analysis (LFMEA) was used to identify and prioritize the risk weight of FMs in the first section. …”
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A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis
Published 2015“…In stage-1, a Genetic Algorithm (GA) is used to search for a small set of fuzzy rules to be gathered from FMEA users. …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the rate severity of fault detection per unit test cost. …”
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