Apologies for receiving multiple copies/cross-posting.
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Call for Papers
Annals of Information Systems (AoIS, Springer)
Special Issue on Data Mining
Guest Editors: Robert Stahlbock, Sven F. Crone, Stefan Lessmann
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Data mining has experienced an explosion of interest over the last two decades,
and has been established as a sound paradigm to derive knowledge from large,
heterogeneous streams of data, often using computationally intensive methods.
It continues to attract researchers from multiple disciplines, including
computer sciences, statistics, operations research, information systems and
management science. Successful applications include domains as diverse as
corporate planning, medical decision making, bioinformatics, web-usage mining,
text- and image recognition, direct marketing and credit scoring. Research in
information systems equally reflects this inter- and multidisciplinary
approach. Information systems research exceeds the software and hardware
systems that support data-intensive applications, analysing the systems of
individuals, data and all manual or automated activities that process the data
and information in a given organization. Therefore the journal Annals of
Information Systems will devote a special issue to topics at the intersection
of information systems and data mining.
The special issue strives to explore the synergies between information systems
and data mining. We welcome all submissions related to both information systems
and data mining aspects. We particularly encourage contributions emphasising
applications and their significance and method comparisons rather than
contributions focusing solely on extending algorithmic aspects. The special
issue also serves as a special publication of the 2007 International Conference
on Data Mining, DMIN07 (www.dmin-2007.com). All conference attendees are
encouraged to submit revised and extended versions of their manuscripts.
Topics of interest include but are not limited to:
* Predictive data mining
* Managerial decision support
* Data mining applications in marketing, operations management,
finance, logistics and supply chain management
* Data warehousing and business intelligence
* Document classification and web-usage mining
* Association rule mining and market basket analysis
* Security, privacy and social impact of data mining
* Data mining in empirical software engineering
* Supporting/automating KDD tasks (pre- and postprocessing,
visualization, etc.)
* Medical data mining and bioinformatics
Review Process
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Each manuscript has to comply with the journals typing instructions and will
be peer-reviewed according to the standards of an esteemed international
journal. Reflecing the theme of the special issue, the quality and originality
of the contribution will serve as major acceptance criteria for each
submission. To enable a timely publication of the special issue, papers which
are unequivocally out of scope will be rejected without detailed review.
Important Dates
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* Deadline for manuscripts: 31st of January 2008
* Notification of authors: 31st of March 2008
* Revision due: 30th of June 2008
Submission Instructions
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Manuscripts should be submitted in pdf format via email to [EMAIL PROTECTED]
Papers should provide a cover page containing paper title, authors including
indication of corresponding author and a short statement of contribution
(max. 100 words ). The cover page can be submitted within the same pdf file as
the main text. The manuscript must be typewritten in English and 1.5 spaced
throughout. Papers should not exceed 6,000 words including abstract and
references. Manuscripts previously published at DMIN07 must provide
substantially revised extensions of papers. The paper must have a different
title from the conference paper, and the extended paper must also be
significantly different from the DMIN07 submission sharing no more than 40%
content in common.
Information about AoIS
----------------------
Annals of Information Systems Series
Published by Springer
Editors: Ramesh Sharda, Stefan Voß
ISSN: 1934-3221
Annals of Information Systems comprises serialized volumes that address a
specialized topic or a theme. AoIS publishes peer reviewed works in the
analytical, technical as well as the organizational side of information
systems. AoIS focusses on high quality scholarly publications. The numbered
volumes are guest-edited by experts in a specific domain. Some volumes may be
based upon refereed papers from selected conferences. AoIS volumes are
available as individual books as well as a serialized collection. AoIS is
allied with the "Integrated Series in Information Systems".
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See http://www.dmin-2007.com/cfp_aois.htm as well (CfP in pdf format)
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