Search Results - (( web application ((a algorithm) OR (_ algorithm)) ) OR ( based applications bayes algorithm ))*
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A Data Mining Approach to Construct Graduates Employability Model in Malaysia
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Applying learning to filter text
Published 2005“…The use of probabilistic approaches such as naïve Bayes algorithm is the effective algorithms currently known for learning to filter or classify text document.Naïve Bayes algorithm is one of the algorithms in Machine Learning that manipulates probability estimation or reasoning about the observed data.The growing of bulk e-mail or known as spam e-mail becomes a threat to users’ privacy and network load and in the case of e -mail filtering,naïve Bayes classifier can be trained to automatically detect spam messages.Similar to the e-mail, forum application may be misused by the user to send bad messages and in some extent may offence other readers.Forum filtering may be less important compared to e-mail spam filtering; however there is a possibility of using naïve Bayes to learn the messages and automatically detect bad messages.Most of the forum application found in the web is applying keyword based text filtering which scan the words and change the detected words into certain representation.Instead of defining a set of keywords to filter the forum messages, this paper will explains the experiment in applying a learning to filter text especially in the educational and anonymous forum message, where there is no user registration required to submit messages.…”
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Cyberbullying detection: a machine learning approach
Published 2022“…This model combines a rule-based approach of sentiment analysis and a supervised machine learning algorithm to classify the text. …”
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Final Year Project / Dissertation / Thesis -
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An Automated System For Classifying Conference Papers
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A malicious URLs detection system using optimization and machine learning classifiers
Published 2020“…In this study, we applied features optimization approaches by using a bio-inspired algorithm for selecting significant URL features which able to detect malicious URLs applications. …”
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Banana recognition system using convolutional neural network / Mohamad Shafiq Rosli
Published 2021“…There are many machines learning types and classification techniques have widely used nowadays such as Support Vector Machine, K-Nearest Neighbors, Neural Network and Naïve-Bayes Classifier are defined and studied. The design and implementation of web-based application will also be stated to state the working progress for the final year project. …”
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Identifying suicidal ideation through twitter sentiment analysis using Naïve Bayes / Annasuha Atie Atirah Alias
Published 2023“…Thus, this project aims to design, develop, and evaluate web-based application utilizing sentiment analysis, specifically employing the Naïve Bayes algorithm, to identify and analyze suicidal ideation within Twitter posts. …”
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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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Text Extraction Algorithm for Web Text Classification
Published 2010“…This study provides a text extraction algorithm for web text classification. …”
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A new algorithm to measure relevance among Web pages
Published 2006“…This paper proposes a new algorithm to measure relevance among Web pages (RWP) using a hybrid method of hyperlink analysis and content analysis. …”
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Customer sentiment analysis through social media feedback
Published 2022“…The data were then split into training and testing to be tested on the three different supervised learning algorithms used in this study which are Support Vector Machine, Random Forest, and Naïve Bayes. …”
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Undergraduates Project Papers -
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Improving malicious detection rate for Facebook application in OSN platform
Published 2018“…Our key contribution in this part is in developing malware detection in Facebook third party application by using Naïve Bayes algorithm technique .We identify a set of features that help us distinguish malicious apps from benign ones. …”
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A modified π rough k-means algorithm for web page recommendation system
Published 2018“…In order to tackle above problem, a modified algorithm for Web page recommendation is proposed. …”
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…Whereas the process of examining through the web pages, retrieving and searching the relevant data in a liTML page, and selecting the best satisfying data are based on the features and operations of the Genetic Algorithms.…”
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A web-based implementation of k-means algorithms
Published 2022“…The K-means algorithm has been around for over a century. While a rather simplistic and dated algorithm, it remains widely used and taught till this day. …”
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Final Year Project / Dissertation / Thesis -
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Phishing image spam classification research trends: Survey and open issues
Published 2020“…A phishing email is an attack that focused completely on people to circumvent existing traditional security algorithms. …”
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