The 5th International Workshop on Talent and Management Computing (TMC'2024)
Authors: 
Hengshu Zhu, Yong Ge, Hui Xiong, 
Ee-Peng LimAuthors Info & Claims
Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng LimAuthors Info & ClaimsPages 6759 - 6760
Abstract
In today's competitive and fast-evolving business environment, it is a critical time for organizations to rethink how to deal with talent and management-related tasks in a quantitative manner. Indeed, thanks to the era of big data, the availability of large-scale talent data provides unparalleled opportunities for business leaders to understand the rules of talent and management, which in turn deliver intelligence for effective decision-making and management for their organizations. In the past few years, talent and management computing have increasingly attracted attention from KDD communities, and a number of research/applied data science efforts have been devoted. To this end, the purpose of this workshop, i.e., the 5th International Workshop on Talent and Management Computing (TMC'2024), is to bring together researchers and practitioners to discuss both the critical problems faced by talent and management-related domains and potential data-driven solutions by leveraging state-of-the-art data mining technologies.
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August 2024
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Association for Computing Machinery
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Publication History
Published: 24 August 2024
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KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
August 25 - 29, 2024
Barcelona, Spain
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Overall Acceptance Rate 1,133 of 8,635 submissions, 13%
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