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Direct approach for mining association rules from structured XML data
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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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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi
Published 2017“…By using this algorithm, the web page is segmented into several big blocks. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Mining Sequential Patterns using I-PrefixSpan
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Car dealership web application
Published 2022“…Thus, explainable AI and AI monitoring become the integral components for any new development of commercial applications, including used car dealership web application. …”
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Final Year Project / Dissertation / Thesis -
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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 Automated System For Classifying Conference Papers
Published 2021“…The best classification model was then deployed to a web-based research conference system. The web-based system was developed using the Django web framework, based on a system architecture defined in this project called the Enhanced 3-Tier Web-based System with a Data Mining Layer. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2023“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
Published 2022“…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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Morphology, molecular characterization and habitat preference of harmful Benthic dinoflagellate gambierdiscus (Dinophyceae) in Malaysia / Nurin Izzati Mustapa
Published 2020“…Taxon sampling on the small subunit (SSU) and large subunit (LSU) ribosomal RNA genes (rDNAs) of Gambierdiscus was performed for phylogenetic reconstruction using branch swapping algorithm. Morphological character states were coded and mapped onto the molecular phylogenetic tree (MP tree) to investigate the character state evolution of Gambierdiscus species. …”
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