Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

Publisher: Wiley Online Library |  Publishing Format: Subscriptio   | Impact Factor: 2.541

The objectives of WIREs DMKD are to (a) present the current state of the art of data mining and knowledge discovery through an ongoing series of reviews written by leading researchers, (b) capture the crucial interdisciplinary flavor of the field by including articles that address the key topics from the differing perspectives of 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) encourage active participation in this field by presenting its achievements and challenges in an accessible way to a broad audience. The content of WIREs DMKD will be useful to upper-level undergraduate and postgraduate students, to teaching and research professors in academic programs, and to scientists and research managers in industry.


data mining, knowledge discovery, Data engineering journal, Data mining journal

Publication Format:  Subscriptio

Editor in Chief
Witold Pedrycz
Country:  Canada

Email:   pedrycz@ee.ualberta.ca
Wiley Online Library
Country: USA

Website:   https://onlinelibrary.wiley.com/journal/19424795

Please refer to the original journal website for accurate and up to date information.

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