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Direct approach for mining association rules from structured XML data
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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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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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Conference or Workshop Item -
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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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Final Year Project / Dissertation / Thesis -
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Laptop price prediction using decision tree algorithm / Nurnazifah Abd Mokti
Published 2024“…This research project focuses on developing a laptop price prediction model using the decision tree algorithm based on laptop specifications. …”
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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A safe overtaking control scheme for autonomous vehicles using rapid-exploration random tree
Published 2022“…The improved algorithm is used to obtain the rough obstacle avoidance of the vehicle. …”
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Proceedings -
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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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Thesis -
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Network analysis on safety culture and worker‘s behaviour : A forest of all minimum spanning trees
Published 2012“…For practical purpose, an algorithm will be provided to find the forest.The advantages of the proposed filter compared to the MST-based filter will be illustrated first before we use it in the case of Malaysia manufacturing industry. …”
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Analysis and comparison of classification algorithms for credit approval in Islamic banks
Published 2025“…Using a dataset from an Islamic bank, the algorithms were assessed through precision, sensitivity, and accuracy metrics. …”
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Intelligent cooperative web caching policies for media objects based on J48 decision tree and naïve Bayes supervised machine learning algorithms in structured peer-to-peer systems
Published 2016“…In this work, intelligent cooperative web caching approaches based on J48 decision tree and Naïve Bayes (NB) supervised machine learning algorithms are presented. …”
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Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking
Published 2012“…The experimental validations show that the use of Hessian matrix results in significant improvement in the robustness of the tracing algorithm. …”
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Thesis -
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Decision tree optimization for sukuk rating prediction
Published 2018“…The results indicate that the decision tree model with Gini index as the criterion performs significantly better than the model produced using decision tree algorithm.…”
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Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor
Published 2024“…Subsequently, predictive models employing k-nearest neighbour and decision tree algorithms are constructed and evaluated based on accuracy, precision, and recall metrics. …”
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Developing an app for streamlined inventory tracking with barcode scanning and load planning optimization
Published 2025“…The application was implemented using React Native for mobile development and Firebase Firestore as the backend database to enable real-time data synchronization, while a binary tree bin packing algorithm was applied to generate efficient cargo loading arrangements. …”
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Final Year Project / Dissertation / Thesis -
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Microwave Imaging of Voids in Oil Palm Trunk Applying UWB Antenna and Robust Time-Reversal Algorithm
Published 2020“…The oil palm trees in Southeast Asia face a great challenge due to voids within tree trunks. …”
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Fatigue State Detection Through Multiple Machine Learning Classifiers Using EEG Signal
Published 2023“…The classification accuracy using Decision Tree for four classes and two classes were achieved at 88.61% and 88.21% respectively, which can make this EEG-based technology a practical and dependable solution for real-time applications.…”
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