数据科学与计算智能:内涵、范式与机遇
ata Science and Computing Intelligence: Concept, Paradigm, and Opportunities
数据科学的发展,将为计算智能的持续发展提供新的可能与机遇;与此同时,计算智能的发展与新型智能范式的兴起,也将为大数据在各行业和各领域的应用提供新的契机。文章阐述了数据科学的内涵,探讨了计算智能的发展与新型智能范式,列举了引领数据科学与计算智能研究的应用方向;进而基于香山科学会议第667次学术讨论会与会专家的讨论,提炼形成数据科学与计算智能领域的七大关键问题,以期使该领域研究得到相关领域研究者与应用者的共同关注,从而把握时代的机遇,推动数据科学与计算智能持续发展。
he development of data science is valuable to clarify the theoretical boundary of data science, and provides new possibilities and opportunities for the sustainable development of computing intelligence. Meanwhile, the development of computing intelligence and the emergence of new intelligence paradigms can offer new chance for applications of big data in various industries and fields. This paper discusses the connotation of data science, the development of computing intelligence, the new intelligence paradigm, and lists the key applications leading the development of data science and computing intelligence. Furthermore, based on the discussion during the 667th Xiangshan Science Conference, seven key problems of data science and computing technology are proposed, anticipating to attract attentions of both researchers and applications in related fields, grasping the opportunity of the era, and promoting sustainable development of data science and computing intelligence.
李国杰、赵伟、沈华伟、华云生、梅宏、程学旗
信息科学、信息技术计算技术、计算机技术系统科学、系统技术
数据科学计算智能大数据智能系统范式
李国杰,赵伟,沈华伟,华云生,梅宏,程学旗.数据科学与计算智能:内涵、范式与机遇[EB/OL].(2023-03-28)[2025-08-17].https://chinaxiv.org/abs/202303.08891.点此复制
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