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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“…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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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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Genetic Algorithm for Web Data Mining
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Enhancement of stemming process for malay illicit web content
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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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A new ant based rule extraction algorithm for web classification
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An Automated System For Classifying Conference Papers
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Fake news detection: A machine learning approach
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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Improving malicious detection rate for Facebook application in OSN platform
Published 2018“…Therefore, to identify malicious apps, we ask the question: given a Facebook application, can we determine if it is malicious? 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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Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm
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Content-based recommender system for an academic social network / Vala Ali Rohani
Published 2014“…In this study, a new algorithm is proposed to represent an enhanced version of content-based recommender systems by utilizing social networking features. …”
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Adaptive System State Based Load Balancing For Web Application Server Cluster Of Heterogeneous Performance Nodes
Published 2013“…This research is to propose a new efficient DNS-based load balancing algorithms that can solve a sudden increase of demand for service requests when they are applied to a local Domain Name Service (DNS) server for Web based applications and selected services. …”
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project is developed by using Rapid Application Development methodology as it is the model that is most suitable for developing this web tools. …”
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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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