Search Results - (( java implementation case algorithm ) OR ( knowledge work pattern algorithm ))
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Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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Pairwise testing tools based on hill climbing algorithm (PTCA)
Published 2014“…The actual implementation of the algorithm which is in Java programming language, the program is implemented on Net Bean 7.0.1. …”
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Undergraduates Project Papers -
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Examination timetabling using genetic algorithm case study: KUiTTHO
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Java based expert system for selection of natural fibre composite materials
Published 2013“…In this paper, we develop a technology for the materials selection system using Java based expert system. The weighted-range method (WRM) was implemented to identify the range value and to scrutinise the candidate materials. …”
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OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…According to the simulation results, the proposed algorithm produces the best solution among all algorithms in the proposed cases. � 2021 Little Lion Scientific…”
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A frequent pattern mining algorithm based on FP-growth without generating tree
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A frequent pattern mining algorithm based on FP-growth without generating tree
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Comparison of performances of Jaya Algorithm and Cuckoo Search algorithm using benchmark functions
Published 2022“…CS and JA have implemented in the same platform (Intellij IDEA Community Edition 2020.2.3) using the same language (Java). …”
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SANAsms: Secure short messaging system for secure GSM mobile communication
Published 2008“…The system is developed using Java 2 Micro Edition (J2ME) which is written in Java. …”
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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Discovering association rules for mining images datasets: a proposal
Published 2005“…Finally, the association rules will determine using an adaptation of the Apriori Algorithm. The proposed approach is applied to an image datasets to demonstrate the kinds of knowledge and association rules to discover interesting patterns and new knowledge. …”
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DSC766: Text Analytics / College of Computing, Informatics and Mathematics
Published 2020“…However, a number of statistical approaches have been shown to work well for the "shallow" but robust analysis of text data for pattern finding and knowledge discovery. …”
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Teaching Resource -
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A hybrid approach to improve recommendation system in E-tourism
Published 2024conference output::conference proceedings::conference paper -
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Mining dense data: Association rule discovery on benchmark case study
Published 2016“…Data Mining (DM), is the process of discovering knowledge and previously unknown pattern from large amount of data. …”
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Employability prediction based on personality test using Naive Bayes Algorithm / Mohd Alief Mukhlis Mohd Adnin
Published 2020“…However, employability is not only determined by the knowledge, skills, and abilities an individual possesses, but also requires other latent, higher-order personality trait that facilitates an individual's ability to adapt to changing work environment and career patterns (Fugate et al., 2004). …”
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Web usage mining: A review of recent works
Published 2015“…We provide review of pattern discovery algorithms which utilize association rules, classification and sequential patterns, and since sequential pattern mining is gaining much interest from WUM research community extra emphasis is given to related papers…”
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Proceeding Paper -
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…In this research, first the implementation of Analytical Hierarchy Process (AHP) computational tool was explored for deciding optimum material for automotive components. …”
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Study on the influence of knowledge-driven technology on predicting consumer repurchase behaviour
Published 2023“…This work deploys a novel Multi-class Ada Boost (MAB) supported Convolutional Neural Network (CNN) to learn customer purchase behaviour by analysing the buying patterns and trends to predict the repurchases. …”
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