IEEE ICDM 2020研讨会

G. D. Fatta, V. Sheng, A. Cuzzocrea
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引用次数: 1

摘要

第20届IEEE数据挖掘国际会议(ICDM)主办了许多共同举办的研讨会,其论文传统上发表在专门的IEEE CS新闻文集上。这些研讨会的目的是揭示数据挖掘研究的当前趋势,由于专门的应用领域或由于该领域的新兴性质,这些趋势在主要会议轨道上没有找到空间或足够的关注。其目的是传播这些新兴领域的进展,并吸引更多的关注和研究努力。论文和最终项目的质量由研讨会提案的初始选择过程和每个研讨会内严格的同行评审过程保证。本卷包含ICDM 2020研讨会上接受发表的所有论文,代表了数据挖掘方法和新兴和创新领域应用的有趣快照。这篇社论概述了ICDM 2020最终计划中包括的讲习班。
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The IEEE ICDM 2020 Workshops
The 20th IEEE International Conference on Data Mining (ICDM) hosts many co-located workshops, whose papers are traditionally published in a dedicated IEEE CS press proceedings. The purpose of these workshops is to give exposure to the current trends in data mining research, which do not find space or sufficient attention in the main conference tracks either because of the specialised application domain or because of the emerging nature of the field. The aim is to disseminate advances in these emerging fields and to attract more attention and research effort from the community. The quality of the papers and of the final program is guaranteed by an initial selection process of the workshop proposals and by a rigorous peer-review process within each workshop. This volume contains all the papers accepted for publication in the ICDM 2020 workshops and represents an interesting snapshot of data mining methods and applications of emerging and innovative areas of interest. This editorial provides an overview of the workshops included in the final program of ICDM 2020.
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