Search Results - (( wave application _ algorithm ) OR ( web application ((among algorithm) OR (bayes algorithm)) ))*

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    Comparative study of machine learning algorithms in data classification by Tan, Kai Jun

    Published 2025
    “…Logistic regression, decision trees, k-Nearest Neighbors, Naïve Bayes, support vector machines, and random forest approaches are among the classifiers that were examined. …”
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    Final Year Project / Dissertation / Thesis
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    Text Extraction Algorithm for Web Text Classification by Theab, Mustafa Muwafak

    Published 2010
    “…The created data sets are then classified using Naive-Bayes and C4.5 algorithms provided in WEKA application. …”
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    Thesis
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    Classifying good and bad websites by Koo, Ee Woon

    Published 2015
    “…Hence, SVM classifier achieved the highest accuracy among all. This project illustrates that it is possible to classify websites as good or bad by using the underlying tags along with the machine learning algorithms.…”
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    Final Year Project Report / IMRAD
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    A study on personalized recommender system using social media by Aishnivya, Balamurugan

    Published 2020
    “…These machine learning algorithm processes the data set obtained. The evaluation on these algorithm is done to evaluate accuracy of the algorithm. …”
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    Final Year Project / Dissertation / Thesis
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    Applying learning to filter text by Sainin, Mohd Shamrie

    Published 2005
    “…Text filtering has been a successful application especially in e-mail filtering. 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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    Conference or Workshop Item
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    Cyberbullying detection: a machine learning approach by Yeong, Su Yen

    Published 2022
    “…Machine learning is a hot topic and it is widely implemented in software, web application and more. Those algorithms are used in the classification or regression model to predict an input. …”
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    Final Year Project / Dissertation / Thesis
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    A new algorithm to measure relevance among Web pages by Sadi, M.S., Rahman, M.M. Hafizur, Horiguchi, Susumu

    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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    Article
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    Identifying suicidal ideation through twitter sentiment analysis using Naïve Bayes / Annasuha Atie Atirah Alias by Alias, Annasuha Atie Atirah

    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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    Thesis
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    Fake news detection: A machine learning approach by Yeoh, Dennis Guan Lee

    Published 2021
    “…These models were evaluated in order to pick one to be deployed to the web application. The final model chosen to be deployed was a model trained using a Multinomial Naïve Bayes algorithm.…”
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    Final Year Project / Dissertation / Thesis
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