Search Results - (( its application bayes algorithm ) OR ( web applications based algorithm ))
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An Automated System For Classifying Conference Papers
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Final Year Project / Dissertation / Thesis -
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Detection of SQL injection attack using machine learning
Published 2024“…Integrating this system into the backend of the web application server would augment the safety and security measures of the online application. …”
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Final Year Project / Dissertation / Thesis -
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Suspicious activities detection for anti-money laundering using machine learning techniques
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Final Year Project / Dissertation / Thesis -
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Sentiment analysis regarding marital issues using Naive Bayes algorithm / Farah Nabila Mohd Razali
Published 2025“…This study explores the application of sentiment analysis using the Naive Bayes algorithm to understand public perceptions of marital issues, particularly factors contributing to the rising divorce rate. …”
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Thesis -
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Text classification using Naive Bayes: An experiment to conference paper
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Conference or Workshop Item -
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Web based applications for energy management system incorporated network reconfiguration using genetic algorithm / Wan Adnan Wan
Published 2006“…This research was involved with the development of Web Based Applications for Energy Management System for providing Web application system, Web monitoring System and Genetic algorithm Based Network Reconfiguration Technique for loss minimization in the UiTM Distribution System. …”
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Thesis -
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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. …”
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Thesis -
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…In addition, the system is developed using the developing tools that are essential in web applications, namely. web server, database server, system server and web programming tools such as ASP and Visual Basic. …”
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Thesis -
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An improved framework for content and link-based web spam detection: a combined approach
Published 2021“…The content-based web spam detection framework uses three proposed and two improved content-based algorithms for web spam detection. …”
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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“…To provide online prediction efficiently, we advance an architecture for online predicting in Web Usage Mining system and propose a novel approach based on LCS algorithm for classifying user navigation patterns for predicting users' future requests. …”
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Article -
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A Proposed False Report Identification Algorithm for a Mobile Application in the IoT Environment
Published 2024Proceedings Paper -
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Efficient DNS based Load Balancing for Bursty Web Application Traffic
Published 2012“…This research proposes a new efficient load balancing algorithm which applies to the local Domain Name Service (DNS) server for web based applications and services to ease the sudden increase in demand for the services. …”
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Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad, Khyrina Airin Fariza Abu Samah and Nuwairah Aimi Ahmad...
Published 2023“…This project implements the Naive Bayes algorithm as the classification algorithm. …”
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Book Section -
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Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks
Published 2014“…Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems.Classification is the most important technique for wide-ranging applications to categorize the items according to its features with respect to predefined set of classes.In this paper, we conduct a performance evaluation based on the noiseless and noisy EEG-based epileptic seizure data using various classification algorithms including BayesNet, DecisionTable, IBK, J48/C4.5, and VFI.The reconstructed and noisy EEG data are decomposed with discrete cosine transform into several sub-bands.In addition, some of statistical features are extracted from the wavelet coefficients to represent the whole EEG data inputs into the classifiers.Benchmark on widely used dataset is utilized for automatic epileptic seizure detection including both normal and epileptic EEG datasets.The classification accuracy results confirm that the selected classifiers have greater potentiality to identify the noisy epileptic disorders.…”
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Conference or Workshop Item -
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Genetic Algorithm for Web Data Mining
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