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[Call For
Papers] [Accepted
Papers] [Workshop Program] [Program Committee]
Mining Multiple
Information Sources: Local, Global, and Inter Pattern Discovery |
Although the
capability of distributed data storage brings us opportunities to improve the
quality of data management and decision making, the nature of these distributed
data repositories also generates significant challenges for inter-repository
pattern discovery. Here, we list three major ones: (1) how to efficiently
identify quality knowledge from a single data source, where patterns reveal
local knowledge for each particular data repository, commonly referred to as local patterns; (2) how to integrate
and unify multiple information sources into one single view such that previous
unseen patterns can be discovered, commonly referred to as global patterns; and (3) how to discover the relationships of the
patterns hidden across multiple information sources, where the features of the
patterns (such as pattern frequencies and their utilities) across different
data repositories define inter-repository relationships, which we refer to as inter patterns.
In the past, researchers
proposed many approaches to handle multiple information sources, but solutions
have been mainly focused on scaling mining algorithms for the discovery of
local patterns and global patterns. The aim of this workshop is to bring
together data mining experts to revisit the problem of pattern discovery from
multiple information sources, and identify and synthesize current needs
for such purposes. Representative
questions to be addressed include but are not limited to:
We solicit two types of papers: Regular paper and Short paper (4 pages for short paper and about 8 pages for regular
papers inclusive of all references and figures, however, papers up to 12 pages
will also be reviewed and included in proceedings).
All papers should be submitted in ACM proceedings
format (two columns, 9pt font, approx. 1in margins). Please follow ACM
Proceedings guideline in preparing your paper, which can be found at: http://www.acm.org/sigs/pubs/proceed/template.html.
We strongly encourage
authors to prepare their manuscripts in PDF (preferred) or postscript format. Please ensure
that any special fonts used are included in the submitted documents.
The workshop proceedings will be published by the
ACM Digital Library and distributed during the workshop
Interested authors should submit their
paper(s) as an email attachment to workshop co-chairs. Upon the receiving of each submission, the workshop co-chairs will
organize the peer-review process immediately.