Call for papers in Data Mining

News

  • Author: Statistics Views
  • Date: 04 March 2013

We are pleased to announce a call for papers for a Data Mining Special Issue of Quality and Reliability Engineering International (QREI).

Data mining has attracted huge amounts of interest in recent years. This Special Issue of QREI welcomes submissions concerning data mining methodologies and applications from a broad scope of research areas such as engineering, health care, bioinformatics, social sciences, finance etc.

thumbnail image: Call for papers in Data Mining

Papers must be prepared in accordance with journal standards and guidelines, which can be accessed here. Submitted papers should be original, not previously published, and not under consideration for publication elsewhere. All papers will be reviewed following the journal’s regular procedure.

Submission should me made though the journal’s online system here. Please select the correct Special Issue from the dropdown list under Manuscript Type (Data Mining – Editors: Jing Li and Murat Kulahci).

Guest Editors:

Jing Li, Assistant Professor, Arizona State University, USA
Murat Kulahci, Associate Professor, Technical University of Denmark, Denmark

Important dates:

1st September 2013: Paper submission deadline
1st February 2014: Completion of review process
1st May 2014: Final manuscripts due
1st August 2014: Tentative publication date

Related Topics

Related Publications

Related Content

Address:

This website is provided by John Wiley & Sons Limited, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ (Company No: 00641132, VAT No: 376766987)

Published features on StatisticsViews.com are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and StatisticsViews.com express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek and Lance Mitchell.