Search Results - (( web application ((bayes algorithm) OR (_ algorithm)) ) OR ( web application tree algorithm ))*
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A Data Mining Approach to Construct Graduates Employability Model in Malaysia
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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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Cyberbullying detection: a machine learning approach
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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Comparative study of machine learning algorithms in data classification
Published 2025“…The results will help with real-world data mining applications of machine learning and be a useful guide for further study and practical applications.…”
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An Automated System For Classifying Conference Papers
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Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm
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An optimized attack tree model for security test case planning and generation
Published 2018“…This paper presents an attack tree modeling algorithm for deriving a minimal set of effective attack vectors required to test a web application for SQL injection vulnerabilities. …”
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Car dealership web application
Published 2022“…In this project, a web application and a web service were proposed and implemented. …”
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Final Year Project / Dissertation / 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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Text Extraction Algorithm for Web Text Classification
Published 2010“…The created data sets are then classified using Naive-Bayes and C4.5 algorithms provided in WEKA application. …”
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Defect green coffee bean detection using image recognition and supervised learning
Published 2022“…The model was integrated as web application with Flask where user can upload the image and the system will return result with precision and prediction. …”
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SENTIMENT ANALYSIS IN SOCIAL NETWORKS USING NAiVE BAYES ALGORITHM
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Final Year Project -
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Content-based recommender system for an academic social network / Vala Ali Rohani
Published 2014“…The rapid growth of Web 2.0 applications, such as blogs and social networks creates rich online information and provides various new sources of knowledge. …”
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Applying learning to filter text
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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Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
Published 2022“…Based on usability study, most users agreed that the tourist mobile application is easier and useful for them. From the machine learning evaluation, Random Forest algorithm has generated the most accurate prediction compared to Decision Tree, Logistic Regression and Generalized Linear Model. …”
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An ensemble feature selection method to detect web spam
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