Search Results - (( its application mining algorithm ) OR ( web application bayes 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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Intent-IQ: customer’s reviews intent recognition using random forest algorithm
Published 2025“…Two machine learning model is chosen to build the classification models which are Random Forest (RF) algorithm and Multinomial Naïve Bayes (MNB) algorithm. …”
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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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SENTIMENT ANALYSIS IN SOCIAL NETWORKS USING NAiVE 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“…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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Modifying iEclat algorithm for infrequent patterns mining
Published 2018“…Pattern ruining has been extensively studied in research due to its successful application in several data mining scenarios. …”
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Modifying iEclat algo ithm for infrequent patterns mining
Published 2018“…Pattern ruining has been extensively studied in research due to its successful application in several data mining scenarios. …”
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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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An ensemble feature selection method to detect web spam
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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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Efficient prime-based method for interactive mining of frequent patterns.
Published 2011“…Since rerunning mining algorithms from scratch is very costly and time-consuming, researchers have introduced interactive mining of frequent patterns. …”
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Web Usage Mining Using GSP Algorithm: A Study on Sultanah Bahiyah Library Online Databases
Published 2008“…Application of data mining to the World Wide Web referred as Web mining is at the cross road of research from several research communities which can be divided into three branches: Web Content Mining, Web Structure Mining and Web Usage Mining. …”
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Prime-based method for interactive mining of frequent patterns
Published 2010“…Moreover, this study introduces a mining algorithm called PC-miner to mine the mining model frequently with various values of minsup. …”
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