Search Results - (( web applications ((means algorithm) OR (bat algorithm)) ) OR ( _ application using algorithm ))*
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…The result of the algorithm performance will be appeared in web application system. …”
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Academic Exercise -
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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. This is where k-luster comes in. k-luster, the web application developed as a result of this project, implements the K-means and K-means++ algorithm along with ten proximity measures, seven of which are distance measures and whereas the remaining three are similarity measures. …”
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Final Year Project / Dissertation / Thesis -
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A modified π rough k-means algorithm for web page recommendation system
Published 2018“…To date, many works have been addressed in investigating the use of data mining techniques (e.g., Clustering) in Web page application. …”
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Thesis -
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A Hybrid Approach For Web Search Result Clustering Based On Genetic Algorithm With K-means
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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. …”
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Thesis -
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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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Thesis -
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Cryptanalytic attacks on Rivest, Shamir, and Adleman (RSA) cryptosystem: issues and challenges
Published 2014“…Generally RSA algorithm gain a security support because of it’s frequently use in most applications where security of digital data is mostly a concern. …”
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Big Data Mining Using K-Means and DBSCAN Clustering Techniques
Published 2022“…The density-based spatial clustering of applications with noise (DBSCAN) and the K-means algorithm were used to develop clustering algorithms. …”
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An efficient fuzzy C-least median clustering algorithm
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A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS
Published 2023“…All of these algorithms will be cross validate using Mean Absolute Error (MAE) in order to compare all of the accuracies of the algorithms.…”
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Final Year Project Report / IMRAD -
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K-gen phishguard: an ensemble approach for phishing detection with k-means and genetic algorithm
Published 2025“…In the first phase, the best set of features is identified by the Genetic algorithm and is utilised by the K-means clustering algorithm to divide the dataset into groups with similar traits. …”
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Route planner mobile web application for UiTM Malaysia / Suzana Ahmad ... [et al.]
Published 2009“…Djikstra’s algorithm together with Google Maps API and Google Earth, which are popular web mapping services providing geospatial data, have been used to develop, a prototype route planner.…”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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Conference or Workshop Item -
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Stock price monitoring system
Published 2024“…Consequently, Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE) are used to evaluate the performance of the prediction algorithms. …”
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Final Year Project / Dissertation / Thesis -
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Movie recommendation system / Najwa Syamimie Hasnu
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Thesis -
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Fuzzy Type-1 Triangular Membership Function Approximation Using Fuzzy C-Means
Published 2020“…This research focuses on generating the parametric values of the triangular membership function using a novel method. Initially, the Fuzzy C-means algorithm is utilized to generate the parameters values of the Gaussian membership function. …”
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Conference or Workshop Item -
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Image Segmentation Using an Adaptive Clustering Technique for the Detection of Acute Leukemia Blood Cells Images
Published 2024Proceedings Paper
