Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery(《Wiley跨学科评论:数据挖掘与知识探索》,以下简称WIREs DMKD)是Wiley出版社旗下的刊物,于1985年创刊。这本期刊的目标是介绍数据挖掘和知识发现的最新进展、从数据挖掘和知识发现的不同角度探讨关键主题的文章、捕捉数据挖掘和知识发现的迅速发展以及向...
data mining and knowledge discovery, including a variety of application areas in technology, business, healthcare, education, government and society and culture, (c) capture the rapid development of data mining and knowledge discovery through a systematic program of content updates, and (d) ...
WIREs Data Mining and Knowledge Discovery– part of the award-winning Wiley Interdisciplinary Reviews series – serves as an encyclopedic reference journal in this cutting-edge research field, capturing the latest developments on topics from algorithmic development and applications to technologies, and comm...
WIREs Data Mining and Knowledge Discovery, 3(2), 140-155.Cao, L. (2013), `Combined mining: Analyzing object and pattern relations for discovering and... L Cao - 《Wiley Interdisciplinary Reviews Data Mining & Knowledge Discovery》 被引量: 29发表: 2013年 ...
and activity recognition, machine learning (ML) and AI can be implemented as shown in Figure1. These types of applications can present data related to diagnosing and predicting patient health status and assist with clinical decision-making. This review is motivated by potential advancements in ...
Exploration of new superconductors and functional materials, and fabrication of superconducting tapes and wires of iron pnictides. Sci Tech Adv Mater , 2015 , 16: 033503 CrossRef ADS arXiv Google Scholar [3] Jaroszynski J, Hunte F, Balicas L, et al. Upper critical fields and therm...
For illustration purposes, there are 10 patients in the discovery data, 10 patients in the validation data, and 15 genes . For inferential clustering, the objects to cluster (here, patients) are different between discovery and validation data, as indicated by using different symbols (squares vs....