Search Results - (( java application mining algorithm ) OR ( data classification cloud algorithm ))
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Accuracy assessment of Digital Terrain Model (DTM) Constructed Cloth Simulation Filter (CSF) and Multi Curvature Classification (MCC) algorithm on UAV LiDAR dataset / Mohamad Khair...
Published 2023“…Two algorithms, the Cloth Simulation Filter (CSF) in CloudCompare and the Multiscale Curvature Classification (MCC) in Global Mapper, were tested for this purpose. …”
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Student Project -
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Data classification based on confidentiality in virtual cloud environment
Published 2014“…In this study, we have proposed a data classification cloud model to solve data confidentiality issue in cloud computing environment. …”
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Direct approach for mining association rules from structured XML data
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Thesis -
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K-NN classifier for data confidentiality in cloud computing
Published 2014“…K-NN data classification technique is modulated in the cloud virtual environment. …”
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Conference or Workshop Item -
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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3D LiDAR Vehicle Perception and Classification Using 3D Machine Learning Algorithm
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Empowering cloud providers: optimised locust-inspired algorithm for SLA violation mitigation in green cloud computing
Published 2025“…It enhances the locust-inspired algorithm by integrating SLA-awareness and adaptive host classification and is evaluated using real workload traces in the CloudSim toolkit. …”
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Load balancing and server consolidation in cloud computing environments: a meta-study
Published 2019“…The data-center is considered the heart of cloud computing. …”
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Performances of machine learning algorithms for binary classification of network anomaly detection system
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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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Diagnosis security problems in cloud computing for business cloud
Published 2023“…Cloud computing features ease, fast accessibility of the data and cost reduction for data storage. …”
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A refined classification approach by integrating Landsat Operational Land Imager (OLI) and RADARSAT-2 imagery for land-use and land-cover mapping in a tropical area
Published 2016“…Different classification algorithms were adopted to classify the integrated Landsat and SAR data, and the maximum likelihood classifier (MLC) was considered the best approach. …”
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Improved voting technique for ensemble of MLP system applied on various classification data / Saodah Omar, Iza Sazanita Isa and Junita Mohd Saleh.
Published 2010“…An Artificial Neural Network (ANN) system has been extensively applied to numerous data classification problems such as cloud classification, business applications (sales forecasting), and medical domain for clinical diagnosis. …”
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Research Reports -
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Novel CE-CBCE feature extraction method for object classification using a low-density LiDAR point cloud
Published 2021“…Therefore, a classification method which could receive sparse input, while providing ample leverage for the classification process to accurately differentiate objects within limited computing capability is required. …”
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Imaging spectroscopy and light detection and ranging data fusion for urban features extraction
Published 2013“…The composite image was classified using unsupervised classification (k-mean algorithm) and the accuracy of the classification assessed. …”
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Mapping the spatial distribution and changes of oil palm land cover using an open source cloud-based mapping platform
Published 2019“…The Remote Ecosystem Monitoring Assessment Pipeline (REMAP) provides a cloud computing platform that hosts an open-source stacked Landsat data that allows land cover classification to be implemented using a built-in random forest supervised machine learning algorithm. …”
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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
