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A web-based implementation of k-means algorithms
Published 2022“…The project was planned using the Kanban development methodology, and was built using HTML, CSS, JavaScript, Django, NumPy and pandas. The completed web application is then hosted on Heroku. k-luster allows users to upload their own data set, or choose from one of three samples if they just want to try out the application. …”
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Final Year Project / Dissertation / Thesis -
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Registration and billing system
Published 2005“…To over come these problems,a Registration and Billing System Prototype have been developed.The format of the system prototype is a web-based application.The purpose of this development is to solve the existing problems found in the existing system.A software development process called Rapid Software Development Life Cycle(RSDLC) has been used to develop this system prototype.The purpose of using this software development process is to shorten the time for the software development process.The tools of the software development are Macromedia Dreamweaver MX 6.0; the JSP web dynamic programming language and Oracle 9i as the system database.The Registration and Billing System Prototype uses an integrated system database to store the patient data. …”
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Undergraduates Project Papers -
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A Web Based System For Evaluating Occupational Stress
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Article -
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A modified π rough k-means algorithm for web page recommendation system
Published 2018“…Web page recommendation system is an application of Web Usage Mining (WUM) approach, which specializes in predicting the user next browsing activity in real-time Web for personalized recommendations. …”
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Thesis -
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Web application vulnerabilities detection model
Published 2016“…The algorithm is used in order to match the defined criteria of each web vulnerability with the input information about web application. …”
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Research Reports -
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Web Usage Mining Using GSP Algorithm: A Study on Sultanah Bahiyah Library Online Databases
Published 2008“…Application of data mining to the World Wide Web referred as Web mining is at the cross road of research from several research communities which can be divided into three branches: Web Content Mining, Web Structure Mining and Web Usage Mining. …”
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Thesis -
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A web usage mining approach based on LCS algorithm in online predicting recommendation systems
Published 2008“…Advanced mining processes are needed for this knowledge to be extracted, understood and used. Web Usage Mining (WUM) systems are specifically designed to carry out this task by analyzing the data representing usage data about a particular Web site. …”
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Article -
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Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm
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Conference or Workshop Item -
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E4ML: Educational Tool for Machine Learning
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Conference or Workshop Item -
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Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan
Published 2019“…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. This project will use the rapid application development (RAD) methodology since this are the most suitable method for developing the system. …”
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Thesis -
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Soap performance enhancement for high volume messaging / Ali Baba Dauda
Published 2018“…To achieve this aim, LZ77 compression algorithm is modified to encode more symbols. The algorithm is then integrated into two Web services with HTTP and JMS bindings. …”
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Thesis -
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A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences
Published 2008“…To show the applicability of the basic UTMGO, we extend its structure to develop a Gene Ontology -based protein sequence annotation tool named extended UTMGO. …”
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Evidence-based diagnostic algorithm for visceral leishmaniasis in Bangladesh
Published 2021“…Evidence-based diagnostic algorithm is highly recommended for the visceral leishmaniasis (VL). …”
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Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool
Published 2019“…This final year project identified relevant parameters through literature research, analysis and expert interview, and evaluated different machine learning algorithms and identified linear regression as the most applicable and efficient with its R-square of 0.8015, qualifying it to be used for the development of a hybrid model for the AI-based tool for predictive process optimization for chemical plants.…”
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Final Year Project -
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