Data Mining and Knowledge Discovery

	Data Mining and Knowledge Discovery Editor-in-Chief: Geoffrey I. Webb ISSN: 1384-5810 (print version) ISSN: 1573-756X (electronic version) Journal no. 10618 Springer US Online version available Online First articles available

Description

Editorial Board

Description

The premier technical journal focused on the theory, techniques and practice for extracting information from large databases

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.

Impact Factor: 2.42 (2007)
Section "Comp. sc., artificial intelligence": Rank 11 of 93
Section "Comp. sc., information systems": Rank 7 of 92

Abstracted/Indexed in:

Compendex, Computer Abstracts International Database, Computer Science Index, Current Contents/Engineering, Computing and Technology, Current Index to Statistics, Inspec, Mathematical Reviews, Science Citation Index, Science Citation Index Expanded (SciSearch), SCOPUS