Search Results - (( java application customization algorithm ) OR ( data organization case algorithm ))
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An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players
Published 2021“…A new combined decision model which integrates Analytical Network Process and Case-based Reasoning was developed. The algorithm converts the model to coding, structures the process of entering data, automates the calculations and presents the results in a well-organized and suitable interfaces for the team managerial review purposes. …”
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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Intership supervisor selection using genetic algorithms
Published 2015“…Indirectly, the organization of committee or management group will be more efficient; well organized and manageable. …”
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Implementation of case-based reasoning in help desk system
Published 2019“…Besides of time consuming when solving customers’ problem, the personnel also faced inherently knowledge problem during help desk operation and difficulty in assessing abundant case data without a systematic system. The aim of this research is to design and develop a Help Desk System used by tourism sector by applying Case-based Reasoning (CBR) algorithm. …”
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Undergraduates Project Papers -
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Feature extraction and classification :a case study of classifying a simulated digital mammogram images using self-organizing maps (som)
Published 2007“…Several experiments have been conducted to verify the proposed algorithm and feature extraction results obtained will be used for the training of Neural Network classifier, Self-Organizing Maps (SOM). …”
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Final Year Project Report / IMRAD -
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Document clustering based on inverse document frequency measure
Published 2005“…Automatic classification techniques are capable of providing the necessary information organization by arranging the retrieved data into groups of documents with common subjects. …”
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Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad
Published 2023“…This project implements the Naive Bayes algorithm as the classification algorithm. The collected data from LinkedIn profiles then undergoes data preprocessing. …”
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A COMPARISON STUDY OF DATA CLUSTERING AND VISUALISATION TECHNIQUES WITH VARIOUS DATA TYPES
Published 2020“…Clustering is used to identify the intrinsic grouping of a set of unlabelled data. It can be applied in data mining exploration and statistical data analysis. …”
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Final Year Project Report / IMRAD -
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Scalability and performance in duplicate detection : relational vs. graph database
Published 2023“…As a result, they may not be effective in identifying and resolving duplicate data in certain use cases. Graph-based algorithms such as community detection, may prove beneficial as it can capture a more complex relationships between data. …”
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Hybrid multi-verse optimizer for covid19 confirmed cases prediction: cases in Malaysia
Published 2021“…The year of 2019 ended with shocking news when the World Health Organization (WHO) was at first notified by the pneumonia cases by an unknown source in Wuhan City, China. …”
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Deep plant: A deep learning approach for plant classification / Lee Sue Han
Published 2018“…Hitherto, the majority of computer vision approaches have been focused on designing sophisticated algorithms to achieve a robust feature representation for plant data. …”
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Facilitating resource allocation decision through Bibliomining: the case of UTM's library / Md Razib Karno
Published 2015“…With nearly 1 million records of collection in various formats, the Library of Universiti Teknologi Malaysia has been chosen as the case study for the research. The data mining technique was adopted to explore the relationship among statistically patterned and clustered bibliographic data. …”
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Impatient job scheduling under cloud computing
Published 2012“…This paradigm arises with the huge growth in applications and data sizes. Many agencies, organizations and departments are responsible for time critical tasks and these tasks need to be completed as soon as possible. …”
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