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Data Science with Human in the Loop

Published: 14 August 2021 Publication History

Abstract

The aim of this workshop is to stimulate research on human-computer interaction challenges in data science. We invite researchers and practitioners interested in understanding how to optimize the human-computer cooperation and how to minimize human effort along the data science pipeline in a wide range of data science tasks and real-life applications. One over-arching challenge is to raise the level of abstraction of human-computer interaction to more sophisticated interaction models that better reflect a human's conceptual model and understanding. This workshop will bring together the interdisciplinary researchers from academia, research labs and practice to share, exchange, learn, and develop preliminary results, new concepts, ideas, principles, and methodologies on understanding and improving human-computer interaction for cost-effective development of data science models and for knowledge discovery. We expect the workshop to help develop and grow a strong community of researchers who are interested in this topic, and yield future collaborations and scientific exchanges across the relevant areas of data mining, machine learning, data and knowledge management, human-machine interaction, and user interfaces.

Cited By

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  • (2024)FieldSwap: Data Augmentation for Effective Form-Like Document Extraction2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00359(4722-4732)Online publication date: 13-May-2024
  • (2022)Towards a human-in-the-loop curation: A qualitative perspective2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA)10.1109/AICCSA56895.2022.10017577(1-8)Online publication date: Dec-2022

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  1. Data Science with Human in the Loop

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    cover image ACM Conferences
    KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
    August 2021
    4259 pages
    ISBN:9781450383325
    DOI:10.1145/3447548
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 14 August 2021

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    Author Tags

    1. data science
    2. human-in-the-loop

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    KDD '21
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    Overall Acceptance Rate 1,133 of 8,635 submissions, 13%

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    • (2024)FieldSwap: Data Augmentation for Effective Form-Like Document Extraction2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00359(4722-4732)Online publication date: 13-May-2024
    • (2022)Towards a human-in-the-loop curation: A qualitative perspective2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA)10.1109/AICCSA56895.2022.10017577(1-8)Online publication date: Dec-2022

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