Representing ensembles of networks for fuzzy cluster analysis: a case study

IF 2.8 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Data Mining and Knowledge Discovery Pub Date : 2023-10-09 DOI:10.1007/s10618-023-00977-x
Ilaria Bombelli, Ichcha Manipur, Mario Rosario Guarracino, Maria Brigida Ferraro
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来源期刊
Data Mining and Knowledge Discovery
Data Mining and Knowledge Discovery 工程技术-计算机:人工智能
CiteScore
10.40
自引率
4.20%
发文量
68
审稿时长
10 months
期刊介绍: Advances in data gathering, storage, and distribution have created a need for computational tools and techniques to aid in data analysis. Data Mining and Knowledge Discovery in Databases (KDD) is a rapidly growing area of research and application that builds on techniques and theories from many fields, including statistics, databases, pattern recognition and learning, data visualization, uncertainty modelling, data warehousing and OLAP, optimization, and high performance computing.
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