Data

Social Media 3.0 Dataset for Integrating Social Media and Internet of Things (SM-IoT) Systems

University of New South Wales
Salim, Sara ; Turnbull, Benjamin ; Moustafa, Nour
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26190/J4G2-PB81&rft.title=Social Media 3.0 Dataset for Integrating Social Media and Internet of Things (SM-IoT) Systems&rft.identifier=https://doi.org/10.26190/J4G2-PB81&rft.publisher=UNSW, Sydney&rft.description=Social Media 3.0 dataset is a new integration of Social Media (SM) and Internet of Things (IoT) datasets for evaluating the fidelity and efficiency of different privacy preservation models based on Artificial Intelligence (AI) and Machine/Deep Learning algorithms. The directories of the datasets can be found in cloudstor, https://cloudstor.aarnet.edu.au/plus/apps/files/?dir=/&fileid=4570611720&rft.creator=Salim, Sara &rft.creator=Turnbull, Benjamin &rft.creator=Moustafa, Nour &rft.date=2021&rft.relation=http://hdl.handle.net/1959.4/101013&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=Social Media&rft_subject=Internet of Things&rft.type=dataset&rft.language=English Access the data

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Social Media 3.0 dataset is a new integration of Social Media (SM) and Internet of Things (IoT) datasets for evaluating the fidelity and efficiency of different privacy preservation models based on Artificial Intelligence (AI) and Machine/Deep Learning algorithms. The directories of the datasets can be found in cloudstor, https://cloudstor.aarnet.edu.au/plus/apps/files/?dir=/&fileid=4570611720

Issued: 2021

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