Data Mining and Knowledge Discovery
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.
- Theory and Foundational Issues
- Data Mining Methods
- Algorithms for Data Mining
- Knowledge Discovery Process
- Application Issues.
Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting
OriginalPaperTopical Collection Surveys
- Journal Title
- Data Mining and Knowledge Discovery
- Volume 1 / 1997 - Volume 32 / 2018
- Print ISSN
- Online ISSN
- Springer US
- Additional Links
- Industry Sectors
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