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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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Enhancement load balancing in failover web server by using HTTP-response status techniques with pfsense opensource / Muhammad Hafiz Ramli
Published 2020“…Increasing the number of failures causes the number of failures of successfulness rate in ICMP based and congestion in HTTP based monitoring. Meanwhile, an email notification was introduced in ICMP and HTTP based monitoring as a notification to the administrator when the failure occurs.…”
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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A real-time mobile notification system for inventory stock out detection using SIFT and RANSAC
Published 2020“…On this note, a smart solution for stock-out detection in warehouses is proposed in this paper, to automate the process using inventory management software. The proposed method is a machine learning based real-time notification system using the exciting Scale Invariant Feature Transform feature detector (SIFT) and Random Sample Consensus (RANSAC) algorithms. …”
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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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A smart guidance indoor parking system based on Dijkstra's algorithm and ant colony algorithm
Published 2020“…This paper introduces a smart guidance indoor parking system based on embedded system integrated with both the Dijkstra's algorithm and Ant Colony algorithm (ACO) to provide drivers with an efficient path to the nearest parking bay. …”
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DESIGN OF SMART TRAFFIC LIGHT SYSTEM BASED ON INTERNET OF THINGS
Published 2018“…Density of the traffic is calculated by the algorithm that have various variables. The system will synchronize with Android Application, which can show the notification of alert system, level of traffic congestion and real-time sensors data for each junction. …”
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Final Year Project Report / IMRAD -
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Face recognition based automated student attendance system
Published 2018“…The facial images are then classified and recognized based on the best result obtained from the combination of algorithm, enhanced LBP and PCA. …”
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Final Year Project / Dissertation / Thesis -
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Traffic monitoring system with emergency support using SOM
Published 2020“…In the classification section, all the processed parameters are input into the classification algorithm to classify the groups to which the input parameters belong. …”
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Final Year Project / Dissertation / Thesis -
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Image processing-based flood detection
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Flood management system: geo based information and monitoring module
Published 2025“…One of the key novel features is the implementation of an automated relief center assignment algorithm, which dynamically assigns the user to a nearby relief center based on the risk assessment, proximity and capacity rather than manually searching for relevant centers. …”
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Final Year Project / Dissertation / Thesis -
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IoT-Based intelligent system for headwater phenomenon detection and alerts using ESP32 / Rozan Boudville … [et al]
Published 2025“…Notifications are issued through an LCD display, buzzer, and Telegram alerts, ensuring timely responses. …”
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Detection of SQL injection attack using machine learning
Published 2024“…The machine learning algorithms employed in this study encompass Convolutional Neural Networks (CNN), Logistic Regression, Naïve Bayes Classifier, Support Vector Machine, and Random Forest. …”
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Final Year Project / Dissertation / Thesis -
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…These results indi�cate that the proposed method can improve the RAN learning algorithm towards the large-scale stream data processing. …”
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