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Big Data - BigData 2023 = 12th Inter...
International Congress on Big Data (2023 :)

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  • Big Data - BigData 2023 = 12th International Conference, held as part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, September 23-26, 2023 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Big Data - BigData 2023/ edited by Shunli Zhang, Bo Hu, Liang-Jie Zhang.
    其他題名: 12th International Conference, held as part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, September 23-26, 2023 : proceedings /
    其他題名: BigData 2023
    其他作者: Zhang, Shunli.
    團體作者: International Congress on Big Data
    出版者: Cham :Springer Nature Switzerland : : 2023.,
    面頁冊數: xiv, 232 p. :ill. (some col.), digital ;24 cm.
    內容註: Research Track -- A Survey on Cross-domain Few-Shot Image Classification -- Exploring the Predictive Power of Correlation and Mutual Information in Attention Temporal Graph Convolutional Network for COVID-19 Forecasting -- IoT Lakehouse: A New Data Management Paradigm for AIoT -- HMGR: A Hybrid Model for Geolocation Recommendation -- Non-essential Perspective on Thinking Law of Data Protection and Utilization -- The Shifting Role of Government in Government Data Openness -- How do we talk and feel about COVID-19? Sentiment Analysis of Twitter Topics -- Lightweight Weight Update for Convolutional Neural Networks -- Bioinformatics-based Acquisition Of Alzheimer's Disease Hub Genes -- Application Track -- Enhanced Campus Information Query System based on ChatGPT Interface and Local Content Database -- Prediction of TrkB complex and antidepressant targets leveraging big data -- Does Trust Improve Commercial Insurance Participation Behavior? -- Research on Big Data Empowering Ecological Governance -- Research on Complex Financial Ecosystem Modeling and Traceability Analysis Based on Heterogeneous Graph Attention Networks -- Short Paper Track -- Accelerate SVM Training with OHD-SVM on GPU -- Construction of data security system.
    Contained By: Springer Nature eBook
    標題: Big data - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-44725-9
    ISBN: 9783031447259
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