Search Results - (( software virtualization learning algorithm ) OR ( java application mining algorithm ))
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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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Mining Sequential Patterns using I-PrefixSpan
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Smart object detection using deep learning algorithm and jetson nano for blind people
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Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…This project proposed a virtual mental health mobile application, called TalkOut, with a lightweight message encryption algorithm to protect patient's profile, conversation messages and treatment history. …”
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Edge assisted crime prediction and evaluation framework for machine learning algorithms
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Immersive AR pet game with hand motion
Published 2023“…ManoMotion is a hand-tracking software that uses machine learning algorithms to track and recognise hand movements in real-time. …”
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5G New Radio: Dynamic Time Division Duplex Radio Resource Management Approaches
Published 2023Article -
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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 comparative study and simulation of object tracking algorithms
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Malware visualizer: A web apps malware family classification with machine learning
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Efficient feature selection analysis for accuracy malware classification
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