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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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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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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim
Published 2024“…The objectives of this project are to study the requirement of the Naive Bayes algorithm in Mobile Banking Trojan detection, to develop a webbased detection system for Mobile Banking Trojan using Naive Bayes, and to evaluate the performance and accuracy of the Naive Bayes algorithm in the Mobile Banking Trojan detection. …”
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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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Prediction of customer churn for ABC Multistate Bank using machine learning algorithms / Hui Shan Hon ... [et al.]
Published 2023“…Customer churn is defined as the tendency of customers to cease doing business with a company in a given period. ABC Multistate Bank faces the challenges to hold clients. The purpose of this study is to apply machine learning algorithms to develop the most effective model for predicting bank customer churn. …”
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Capacitor bank placement in radial distribution system using Firefly algorithm method
Published 2023text::Final Year Project -
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Asset liability management model: The case of selected Islamic banks in Malaysia / Chong Hui Ling
Published 2017“…Specifically, this research has been conducted with the core objective to develop a customised programming model for multi-purpose optimisation using this penalty cost method that ties together divergent objectives unique to Islamic banks. …”
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Genetic-local hybrid optimizer for solving advance layout problem
Published 2006“…This research describes a novel method, based on genetic algorithms(GA) to solve the machine layout problem, where developing machine layout is an important step designing manufacturing, renovation of factories, distribution centers, hospitals, banks, department stores, military supply, depots, universities, etc. …”
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Algorithm for Preprocessing Electrocardiosignal for a Wireless Holter Monitoring System
Published 2026“…The proposed methods and algorithms ensure high-quality, multi-day wireless transmission of ECG signals with low energy consumption.…”
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Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…This proposed algorithm is developed based on heuristic method named modified binary particle swarm optimization (MBPSO) with kernel fuzzy clustering method as a fitness function. …”
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Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning
Published 2023“…This research contributes novel insights into the application of clustering algorithms in banking, proposing pragmatic solutions for efficient data analysis and campaign optimization. …”
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Loss minimization in load flow simulation in power system
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Learning Object -
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Predicting credit risk of the small medium enterprises using modified KMV model / Shakila Saad
Published 2022“…Hence, it is necessary for banks to develop a mechanism to gauge the credit risk of its borrowers. …”
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Evaluating Machine Learning Algorithms for Fake Currency Detection
Published 2024“…Additionally, we examine the performance of LightGBM, a gradientboosting algorithm, in comparison to these traditional methods. …”
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Review of the machine learning methods in the classification of phishing attack
Published 2019“…This study focused on an algorithm that was thoroughly made and the methods in implementing this algorithm are discussed in detail.…”
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