3 datasets found
  1. tencent_ad

    • kaggle.com
    zip
    Updated Jun 1, 2020
    + more versions
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    yuanzhe zhou (2020). tencent_ad [Dataset]. https://www.kaggle.com/yuanzhezhou/tencent-ad
    Explore at:
    zip(1712567215 bytes)Available download formats
    Dataset updated
    Jun 1, 2020
    Authors
    yuanzhe zhou
    Description

    Dataset

    This dataset was created by yuanzhe zhou

    Contents

    It contains the following files:

  2. naicdata7

    • kaggle.com
    Updated Mar 13, 2022
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    yuanzhe zhou (2022). naicdata7 [Dataset]. https://www.kaggle.com/datasets/yuanzhezhou/naicdata7/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 13, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    yuanzhe zhou
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset

    This dataset was created by yuanzhe zhou

    Released under CC0: Public Domain

    Contents

  3. 📱Telecom Shanghai Dataset

    • kaggle.com
    Updated Aug 14, 2023
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    mexwell (2023). 📱Telecom Shanghai Dataset [Dataset]. https://www.kaggle.com/datasets/mexwell/telecom-shanghai-dataset
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 14, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    mexwell
    Area covered
    Shanghai
    Description

    The dataset, provided by Shanghai Telecom, contains more than 7.2 million records of accessing the Interent through 3,233 base stations from 9,481 mobile phones for six months. For example, the following figure shows the distribution of base stations. Each node denotes a base station in Shanghai, China. This dataset could help researchers to evaluate their solution in mobile edge computing topic such as edge server placement, service migration, service recommendation, etc.

    http://sguangwang.com/fig1.jpg" alt="">

    As shown in the following table, the Telecom dataset shows 6 parameters such as Month, Data, Start Time, End Time, Base Station Location, Mobile Phone ID. The trajectory of users can be found by the dataset.

    MonthThe month when one record happens
    DateThe date when one record happens
    Start TimeThe time when a record stards
    End TimeThe time when a record ends
    Base Station LocationThe longitude and latitude of the base station where the mobile phone accesses the internet
    User IDMobile phone

    Citation

    The telecom dataset is available free of charge for educational and non-commercial purposes. The Telecom data should be used in any scientific or educational study/research. Redistribution of this data to any other third party is not permited.In exchange, we kindly request that you make available to us the results of running the telecom dataset. You must cite the following papers when using this Telecom dataset.

    [1] Yuanzhe Li, Ao Zhou, Xiao Ma, Shangguang Wang, Profit-aware Edge Server Placement, IEEE Internet of Things Journal, 2022, vol.9, no.1 ,pp.55-67 PDF Sourcecode

    [2] Y. Guo, S. Wang, A. Zhou, J. Xu, J. Yuan, C. Hsu. User Allocation‐aware Edge Cloud Placement in Mobile Edge Computing, Software: Practice and Experience, vol. 50, no. 5, pp. 489-502, 2020.PDF Sourcecode

    [3] S. Wang, Y. Guo, N. Zhang, P. Yang, A. Zhou, X. Shen. Delay-aware Microservice Coordination in Mobile Edge Computing: A Reinforcement Learning Approach, IEEE Transactions on Mobile Computing, vol. 20, no.3, pp.939-953, 2021. PDF

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yuanzhe zhou (2020). tencent_ad [Dataset]. https://www.kaggle.com/yuanzhezhou/tencent-ad
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tencent_ad

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Explore at:
zip(1712567215 bytes)Available download formats
Dataset updated
Jun 1, 2020
Authors
yuanzhe zhou
Description

Dataset

This dataset was created by yuanzhe zhou

Contents

It contains the following files:

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