Data Mining and Knowledge Discovery
Description
The premier technical publication in the field, Data Mining and Knowledge Discovery is a resource collecting relevant common methods and techniques and a forum for unifying the diverse constituent research communities. The journal publishes original technical papers in both the research and practice of data mining and knowledge discovery, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications. Coverage includes: - Theory and Foundational Issues - Data Mining Methods - Algorithms for Data Mining - Knowledge Discovery Process - Application Issues.
27 Volumes 82 Issues 471 Articles available from 1997 - 2013
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OriginalPaper
On studying a 3D user interface for OLAP
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OriginalPaper
A regularized graph layout framework for dynamic network visualization
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EditorialNotes
Preface: Intelligent interactive data visualization
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