Data Mining and Knowledge Discovery Impact Factor, Quartile, Indexing, Ranking

Data Mining and Knowledge Discovery Impact Factor, Indexing, Ranking

Data Mining and Knowledge Discovery (DMKD) is a scholarly journal dedicated to publishing research in the field of Computer Science, and Published by Springer Nature. The Print-ISSN of Data Mining and Knowledge Discovery is 13845810


Data Mining and Knowledge Discovery Aim and Scope

Data Mining and Knowledge Discovery is published by Springer Nature, publishing since 1997. It covers research in Computer Science.

The journal is indexed in Scopus.


Data Mining and Knowledge Discovery Details


Journal title Data Mining and Knowledge Discovery (DMKD)
Print ISSN13845810
Online ISSN1573756X
Publisher Name Springer Nature
Subject Category Computer Science
Access type 🔒 Subscription
Status 🟢 Active

Data Mining and Knowledge Discovery Metrics and Rankings

In the context of academic journals, "Metrics and Rankings" refer to various measures and evaluations used to assess the quality, influence, and impact of a journal.

Below are the metrics and rankings for the journal Data Mining and Knowledge Discovery


Data Mining and Knowledge Discovery Abstracting and Indexing

Abstracting and Indexing (A&I) refers to the processes that help organize and categorize academic journals, making them easier to find and access for researchers and scholars

Abstracting and Indexing

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