Special Sessions and Workshops All
special sessions and workshops are part of DMIN'09 and attendance is
open to attendees of
all conferences held at WORLDCOMP'09.
For DMIN'09, the following special sessions are accepted:
1)
Text and Web Mining
2)
Real-World Data Mining Applications, Challenges, and
Perspectives
3)
Data Mining for Time Series Data - Forecasting,
Classification and Clustering
Special Session on Text and Web Mining -
Call for Papers
Organizer:
Yanjun Li, Fordham University,
yli@cis.fordham.edu
Text mining has been defined as
'the automated discovery of
new, previously unknown information by automatically
extracting information from different written resources.'
Text mining operates on structured data from XML files
or unstructured or semi-structured data sets (such as
email, full-text documents, and HTML files). Text mining
applications include information extraction, topic
tracking, summarization, categorization, clustering,
concept linkage, information visualization, and question
answering. Web mining is the application of data mining
techniques to discover patterns from the World Wide Web
and includes web usage mining, web content mining, and
web structure mining. Web mining applications are in
high demand since they can be used to improve the
effectiveness of search engines.
This special session of DMIN’09 (the Fifth International
Conference on Data Mining) will cover all aspects of
text and web mining. Authors are invited to submit both
research and application papers on these topics. The
special session will be held during the DMIN conference,
July 13-16, in Las Vegas, Nevada, USA. All papers should
be submitted using the standard
procedures for DMIN papers. For your
submission of the draft paper, please select the Track
'Special Session on Text and Web Mining' (TWM).
Any questions should be directed to
the
special session organizer or to one of the DMIN
conference organizers.
Special Session on
Real-World Data Mining
Applications, Challenges, and Perspectives
-
Call for Papers
Organizer: Mahmoud Abou-Nasr, Ford Motor Company
Research and Innovation Center,
mabounas@ford.com
The past decade has witnessed a vast growth of the
amount of data produced and the proliferation of
specialized databases in a wide range of business,
industrial, medical and scientific applications. Data
mining is becoming an increasingly important tool in the
process of knowledge discovery and the transformation of
data into valuable information.
The objective of this
special session is to provide a forum for the data
mining researchers and industrial practitioners to
discuss data mining applications, issues, and the
challenges that arise when addressing real-world
problems (e.g. dealing with highly skewed data
sets, massive and high dimensional data sets,
non-stationary data, unknown misclassification costs,
lack of training data, missing and noisy data, business
process issues, etc.).
Topics of interest
include, but are not limited to:
·
Enterprise knowledge management/knowledge discovery
·
Sales forecasting
·
Automotive diagnostics
·
Medical diagnostics
·
Bioinformatics
·
Challenges, including
o
highly skewed data sets
o
massive and high dimensional data sets
o
non-stationary data
o
unknown misclassification costs
o
missing and noisy data
This special session of DMIN’09 (the Fifth International
Conference on Data Mining) will cover all aspects of
data mining applications. The special session will be
held during the DMIN conference, July 13-16, in Las
Vegas, Nevada, USA. All papers should be
submitted using the standard procedures for DMIN papers.
For your submission of the draft paper, please select
the Track 'Special Session on Data Mining Applications,
Challenges, and Perspectives'
(DMA).
Any questions should be directed to
the
special session organizer or to one of the DMIN
conference organizers.
Special Session on
Data Mining for Time Series Data -
Forecasting, Classification and Clustering -
Call for Papers
Organizer:
Sven F. Crone & Nikolaos Kourentzes,
Lancaster Centre for Forecasting
at the Department of Management Science at Lancaster
University Management School,
UK,
n.kourentzes@lancaster.ac.uk,
s.crone@lancaster.ac.uk
This special session of DMIN’09 (the Fifth International
Conference on Data Mining) will cover all aspects of
data mining
for time series data, particularly forecasting,
classification and clustering of time series.
The special session will be held during the DMIN
conference, July 13-16, in Las Vegas, Nevada, USA. All
papers should be
submitted using the standard procedures for DMIN papers.
For your submission of the draft paper, please select
the Track 'Special Session on
Data Mining for Time Series Data'
(DMTS).
Any questions should be directed to
the
special session organizer or to one of the DMIN
conference organizers. |