RSS News FeedCFP with extended deadline of Mar 11 2009 The 2009 Internatio
Message-ID:<c98430d9-8905-4fa5-a3a8-86eeb030d51a@f37g2000vbf.googlegroups.com>
Subject:
CFP with extended deadline of Mar. 11, 2009: The 2009 International Conference on Data Mining (DMIN'09) & Sessions on Text/Web Mining, Data Mining Applications, & Data Mining for Time Series, USA, July 13-16, 2009
Date:Tue, 3 Mar 2009 14:08:45 +0100
I would appreciate if you would share the announcement below
with those who might be interested. The paper submission deadline
is extended to March 11, 2009.
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C A L L F O R P A P E R S
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The 5th International Conference on Data Mining 2009
DMIN'09
www.dmin--2009.com
part of
The 2009 World Congress in Computer Science,
Computer Engineering, and Applied Computing
(WORLDCOMP'09)
Date and Location: July 13-16, 2009, Las Vegas, USA
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You are invited to submit a paper to any of the three special session
tracks
that are part of the 2009 International Conference on Data Mining
(DMIN'09).
The three special sessions will cover 1) Text and Web Mining, 2) Real-
World
Data Mining Applications, Challenges, and Perspectives, and 3) Data
Mining
for Time Series Data - Forecasting, Classification and Clustering.
Papers on
other data mining topics may still be submitted to the DMIN
conference,
independent of these special sessions.
DMIN-09, the 5th International conference on data mining, is part of
the 22
conferences held simultaneously from 13-16 July 2009 at the 2009
WORLDCOMP
conference, Monte Carlo Resort, Las Vegas, Nevada, USA. The special
sessions
will be held during the DMIN conference. All papers for the special
sessions
should be submitted using the standard procedures for DMIN papers
(see
website), but the appropriate special session track should be
selected.
Additional details for these three special sessions are provided
below, but
up-to-date information for the special session can be found at the
following
url: http://www.dmin--2009.com/special_sessions.htm
URL WORLDCOMP: http://www.world-academy-of-science.org/worldcomp09/ws
URL DMIN'09: http://www.dmin--2009.com
SCOPE: Topics of interest include, but are not limited to, the
following:
+ Data Mining Tasks
- Regression/Classification
- Time series forecasting
- Segmentation/Clustering/Association
- Deviation and outlier detection
- Explorative and visual data mining
- Web mining
- Mining text and semi-structured data
- Temporal and spatial data mining
- Multimedia mining (audio/video)
- Others
+ Data Mining Algorithms
- Artificial neural networks
- Fuzzy logic and rough sets
- Decision trees/rule learners
- Support vector machines
- Evolutionary computation/meta heuristics
- Statistical methods
- Collaborative filtering
- Case based reasoning
- Link and sequence analysis
- Ensembles/committee approaches
- Others
+ Data Mining Integration
- Mining large scale data
- Distributed and grid based data mining
- Data and knowledge representation
- Data warehousing and OLAP integration
- Integration of prior/domain knowledge
- Metadata and ontologies
- Agent technologies for data mining
- Legal and social aspects of data mining
- Others
+ Data Mining Process
- Data cleaning and preparation
- Feature selection and transformation
- Attribute discretisation and encoding
- Sampling and rebalancing
- Missing value imputation
- Model selection/assessment and comparison
- Induction principles
- Model interpretation
- Others
+ Data Mining Applications
- Bioinformatics/Medicine
- Business/Industrial
- Engineering
- Military/Security
- Social science
- Others
+ Data Mining Software
We particularly encourage submissions of industrial applications
and
case studies from practitioners. These will not be evaluated
using
solely theoretical research criteria, but will take general
interest
and presentation stringer into consideration.
+ Alternative and additional examples of possible topics include:
Data Mining for Business Intelligence; Emerging technologies in
data
mining; Computational performance issues in data mining; Data
mining
in usability; Advanced prediction modelling using data mining;
Data
mining and national security; Data mining tools; Data analysis;
Data preparation techniques (selection, transformation, and
preprocessing); Information extraction methodologies; Clustering
algorithms used in data mining; Genetic algorithms and
categorization
techniques used in data mining; Data and information integration;
Microarray design and analysis; Privacy-preserving data mining;
Active
data mining; Statistical methods used in data mining;
Multidimensional
data; Automatic data cleaning; Data visualization; Theory and
practice
(knowledge representation and discovery); Knowledge Discovery in
Databases (KDD); Uncertainty management; Data reduction methods;
Data
engineering; Content mining; Indexing schemes; Information
retrieval;
Metadata use and management; Multidimensional query languages and
query; Multimedia information systems; Search engine query
processing;
Pattern mining; Applications (examples: data mining in education,
marketing, finance and financial services, business applications,
medicine, bioinformatics, biological sciences, science and
technology,
industry and government, ...).
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1) Special Session on Text and Web Mining
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.
2) Special Session on Real-World Data Mining Applications, Challenges,
and
Perspectives
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:
=95 Enterprise knowledge management/knowledge discovery
=95 Sales forecasting
=95 Automotive diagnostics
=95 Medical diagnostics
=95 Bioinformatics
=95 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
3) Special Session on Data Mining for Time Series Data - Forecasting,
Classification and Clustering
Organizer: Sven F. Crone, Lancaster Centre for Forecasting at the
Department
of Management Science at Lancaster University Management School, UK,
s.crone@lancaster.ac.uk
This special session of DMIN=9209 will cover all aspects of data mining
for
time series data, particularly forecasting, classification and
clustering of
time series.
CONTACT INFORMATION
For specific questions, contact the appropriate special section
organizer.
For more general questions, contact one of the conference organizers
listed
below.
General Enquiries: Robert Stahlbock
General Conference Chair
conference-chair@dmin--2009.com
Programme Committee: Sven F. Crone
Conference Programme Co-Chair
programme-chair@dmin--2009.com
Student Funding Enquiries: Stefan Lessmann
Student Chair & Conference Programm Co-Chair
student-chai@dmin--2009.com
Tutorials Session Proposals: Philippe Lenca
Tutorial Chair
tutorial-chair@dmin--2009.com
Special Session Proposals: Gary M. Weiss
Special Session Chair
special-session-chair@dmin-2009.com
Exhibitors & Corporate Sponsors : Wolfram Lippe
Exhibit Chair
exhibits-chair@dmin--2009.com
TUTORIAL SESSIONS
All tutorials are free to registered conference attendees of all
conferences held at WOLDCOMP'09. Those who are interested in attending
one or more of the tutorials are to sign up on site at the conference
registration desk in Las Vegas. A complete & current list of WORLDCOMP
Tutorials can be found here.
In addition to tutorials at other conferences, DMIN'09 provides a set
of tutorials dedicated to Data Mining topics. The 2007 key tutorial
was given by Prof. Eamonn Keogh on Time Series Clustering. The 2008
key tutorial was presented by Mikhail Golovnya (Senior Scientist,
Salford Systems, USA) on Advanced Data Mining Methodologies. This year
DMIN will provide the following tutorials:
Tutorial A
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Organizer:
Nitesh V. Chawla, University of Notre Dame, USA
Topic:
Data Mining with Sensitivity to Rare Events and Class Imbalance
Description
Recent years brought increased interest in applying data mining
techniques to difficult 'real-world' problems, many of which are
characterized by imbalanced learning data, where at least one class is
much rarer relative to others. Examples include (but are not limited
to): fraud/intrusion detection, risk management, medical diagnosis/
monitoring, bioinformatics, text categorization and personalization of
information. The problem of imbalanced data is also often associated
with asymmetric costs of misclassifying elements of different classes.
Additionally the distribution of the test data may differ from that of
the learning sample and the true misclassification costs may be
unknown at learning time. Predictive accuracy, a popular choice for
evaluating performance of a classifier, will not be appropriate when
the data is imbalanced and/or the costs of different errors vary
markedly.
This tutorial will introduce the problem of class imbalance, address
the scope of solutions available, present and contrast the appropriate
metrics for evaluating performance, and discuss the applications with
case studies.
Tutorial B
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Organizer:
Peter Geczy, National Institute of Advanced Industrial Science and
Technology (AIST), Japan
Topic:
Emerging Human-Web Interaction Research
Date & Time: July 14, 2009 (6:00 =96 8:00 pm) - tentative
Description:
Abstract:
World wide web has evolved from its earlier static form to an
interactive multimedia environment. Richness of interactions is
rapidly approaching that of the conventional stand-alone applications.
Human interactivity with web-based environments has been gaining
increasing importance in both web research and e-commerce. Mining and
exploring human-web interactions bring numerous challenges as well as
opportunities. We will probe into the processes and methods of human-
web interaction research ranging from data acquisition techniques,
throughout analytics, to applications. Accounting for the latest
advances in the field, we will project the prospective future trends.
Objective:
The primary objective of the tutorial is to provide clear, yet
reasonably comprehensive, overview of the underlying principles,
current approaches, and potential future trends. Knowledge of the
state-of-the-art in human-web interaction research should be
beneficial to a wide spectrum of individuals studying, utilizing,
designing, and/or managing web-based information systems.
Audience:
The tutorial aims to approach a broad audience including, but not
limited to:
- Students and Educators
- Academics and Researchers
- Practitioners and Managers
The topic shall be presented in an accessible and intuitive manner
without extensive technical details.
Short Bio:
Dr. Peter Geczy is a senior scientist at The National Institute of
Advanced Industrial Science and Technology (AIST). He also held
positions at The Institute of Physical and Chemical Research (RIKEN)
and The Research Center for Future Technology. His interdisciplinary
scientific interests encompass domains of human interactions and
behavior in digital environments, information systems, knowledge
management and engineering, data and web mining, artificial
intelligence, and machine learning. His recent research focus also
extends to the spheres of service science, engineering, management,
and computing. He received several awards in recognition of his
accomplishments. Dr. Geczy has been serving on various professional
committees, editorial boards, and has been a distinguished speaker in
academia and industry.
Tutorial C (pending - preliminary information! )
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Organizer: Asim Roy, Arizona State University
Topic: Autonomous Machine Learning
************************************************************
SUBMISSION OF PAPERS:
Prospective authors are invited to submit a draft paper in PDF
format
(up to 7 pages, standard double column IEEE style, single spaced,
10 pt font size, margins left/right/bottom/top 0.75" (19 mm), first
page
top margin 1" (25 mm)), to the DMIN'09 online paper submission
system
by Mar. 11, 2009. The link to the online submission system will be
available on the DMIN'09 website (www.dmin--2009.com).
The length of the Camera-Ready papers (if accepted) will be limited
to
7 (IEEE style) pages. Papers must not have been previously
published
or currently submitted for publication elsewhere. The first page of
the draft paper should include: title of the paper, name,
affiliation,
postal address, and email address of each author as well as the
name
of the conference the paper is being submitted to (i.e., DMIN'09).
The first page should also identify the name of the Contact Author
and a maximum of 5 topical keywords that would best represent the
content of the paper.
To reflect upon feedback from last year we will extend the
feedback
given within the review in aligning them with the IEEE guidelines
for IJCNN and WCCI. In particular, we aim at a fair, objective and
transparent review process. Therefore, we are publishing the
review
criteria to further support the reviews provided (see
www.dmin--2009.com).
Papers will be evaluated for relevance to DMIN, originality,
significance, information content, clarity, and soundness on an
international level. Each aspect will be evaluated on a scale of
1 (bad - reject) to 10 (excellent - accept) or 10%-100%. Papers
need to achieve at least 50% overall score to be accepted without
mandatory revisions. Each paper will be refereed by at least two
researchers in the topical area, and all reviews are being
considered
for the acceptance/rejection decision. Each reviewer can indicate
their expertise and therefore their relative confidence in a
particular recommendation. The camera-ready papers will be
reviewed
by one person.
We particularly encourage submissions of industrial applications
and
case studies from practitioners. To reflect the requirements of an
application or project centric case study presentation, these will
be subject to different review criteria. In particular, they will
not be evaluated using predominantly theoretical research criteria
of originality etc., but will take general interest and
presentation
stronger into consideration. The camera-ready papers will be
reviewed
by one person.
SPONSORS (confirmed as of Feb. 20, 2009):
Academic Sponsors include:
United States Military Academy, Network Science Center, USA;
Biomedical Cybernetics Laboratory, HST of Harvard University and
MIT, USA; Argonne's Leadership Computing Facility of Argonne
National Laboratory, USA; Functional Genomics Laboratory,
University
of Illinois at Urbana-Champaign, USA; Minnesota Supercomputing
Institute, University of Minnesota, USA; Intelligent Data
Exploration and Analysis Laboratory, University of Texas at Austin,
Texas, USA; Harvard Statistics Department Genomics & Bioinformatics
Laboratory, Harvard University, USA; Texas Advanced Computing
Center,
The University of Texas at Austin, Texas, USA; Center for the
Bioinformatics and Computational Genomics, Georgia Institute of
Technology, Atlanta, Georgia, USA; Bioinformatics & Computational
Biology Program, George Mason University, Virginia, USA; Institute
of Discrete Mathematics and Geometry, Vienna University of
Technology, Austria; BioMedical Informatics & Bio-Imaging
Laboratory, Georgia Institute of Technology and Emory University,
Atlanta, Georgia, USA; Knowledge Management & Intelligent System
Center (KMIS) of University of Siegen, Germany; National Institute
for Health Research; Hawkeye Radiology Informatics, College of
Medicine, University of Iowa, USA; Institute for Informatics
Problems
of the Russian Academy of Sciences, Moscow, Russia; Medical Image
HPC
& Informatics Lab (MiHi Lab), University of Iowa, USA; SECLAB of
U. of Naples Federico II, U. of Naples Parthenope, and Second U. of
Naples, Italy; U. of North Dakota, USA; Intelligent Cyberspace
Engineering Lab., ICEL, Texas A&M University (Com./Texas), USA;
International Society of Intelligent Biological Medicine; World
Academy of Biomedical Sciences & Technologies; and European
Commission.
Other Sponsors include:
High Performance Computing for Nanotechnology (HPCNano);
HoIP - Health without Boundaries; The International Council on
Medical and Care Compunetics; The UK Department for Business,
Enterprise & Regulatory Reform; VMW Solutions Ltd.; Scientific
Technologies Corporation; and others.
MEMBERS OF PROGRAMME AND ORGANIZING COMMITTEE:
The programme committee includes members of the chapters of World
Academy of Science (chapters: supercomputing; scientific computing;
AI; imaging science; databases; simulation; software engineering;
embedded systems; internet and web technologies; communications;
computer security; and bioinformatics.) The names of the members
of the programme committee will soon be posted on the web site.
Those interested in joining the programme committee should email
the following information to the programme chair Dr. Sven F. Crone
(eMail programme-chair@dmin--2009.com): Name,affiliation and
position,
complete mailing address, email address, tel/fax numbers, and a
short
biography with research interests and a list of ISI references
papers.
For the list of the members of programme committee of DMIN'08,
refer to:
http://www.dmin-2008.com/programme_committe.htm
Many members of the programme committee include renowned leaders,
scholars, researchers, scientists and practitioners of the highest
ranks;
many are directors of research laboratories, fellows of various
societies,
heads/chairs of departments, deans and provosts.
IMPORTANT DATES:
March 11, 2009: Extended deadline for submission of papers
(about 5 to 7 pages)
April 9, 2009: Notification of acceptance
May 1, 2009: Camera-Ready papers and Registration due
July 13-16, 2009: The 2009 World Congress in Computer Science,
Computer Engineering, and Applied Computing
(WORLDCOMP'09 - 22 joint conferences)
URL WORLDCOMP: http://www.world-academy-of-science.org/worldcomp09/ws
URL DMIN'09: http://www.dmin--2009.com
Message-ID:<c98430d9-8905-4fa5-a3a8-86eeb030d51a@f37g2000vbf.googlegroups.com>
Subject:
CFP with extended deadline of Mar. 11, 2009: The 2009 International Conference on Data Mining (DMIN'09) & Sessions on Text/Web Mining, Data Mining Applications, & Data Mining for Time Series, USA, July 13-16, 2009
Date:Tue, 3 Mar 2009 14:08:45 +0100
I would appreciate if you would share the announcement below
with those who might be interested. The paper submission deadline
is extended to March 11, 2009.
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
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=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
C A L L F O R P A P E R S
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
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=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
The 5th International Conference on Data Mining 2009
DMIN'09
www.dmin--2009.com
part of
The 2009 World Congress in Computer Science,
Computer Engineering, and Applied Computing
(WORLDCOMP'09)
Date and Location: July 13-16, 2009, Las Vegas, USA
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
You are invited to submit a paper to any of the three special session
tracks
that are part of the 2009 International Conference on Data Mining
(DMIN'09).
The three special sessions will cover 1) Text and Web Mining, 2) Real-
World
Data Mining Applications, Challenges, and Perspectives, and 3) Data
Mining
for Time Series Data - Forecasting, Classification and Clustering.
Papers on
other data mining topics may still be submitted to the DMIN
conference,
independent of these special sessions.
DMIN-09, the 5th International conference on data mining, is part of
the 22
conferences held simultaneously from 13-16 July 2009 at the 2009
WORLDCOMP
conference, Monte Carlo Resort, Las Vegas, Nevada, USA. The special
sessions
will be held during the DMIN conference. All papers for the special
sessions
should be submitted using the standard procedures for DMIN papers
(see
website), but the appropriate special session track should be
selected.
Additional details for these three special sessions are provided
below, but
up-to-date information for the special session can be found at the
following
url: http://www.dmin--2009.com/special_sessions.htm
URL WORLDCOMP: http://www.world-academy-of-science.org/worldcomp09/ws
URL DMIN'09: http://www.dmin--2009.com
SCOPE: Topics of interest include, but are not limited to, the
following:
+ Data Mining Tasks
- Regression/Classification
- Time series forecasting
- Segmentation/Clustering/Association
- Deviation and outlier detection
- Explorative and visual data mining
- Web mining
- Mining text and semi-structured data
- Temporal and spatial data mining
- Multimedia mining (audio/video)
- Others
+ Data Mining Algorithms
- Artificial neural networks
- Fuzzy logic and rough sets
- Decision trees/rule learners
- Support vector machines
- Evolutionary computation/meta heuristics
- Statistical methods
- Collaborative filtering
- Case based reasoning
- Link and sequence analysis
- Ensembles/committee approaches
- Others
+ Data Mining Integration
- Mining large scale data
- Distributed and grid based data mining
- Data and knowledge representation
- Data warehousing and OLAP integration
- Integration of prior/domain knowledge
- Metadata and ontologies
- Agent technologies for data mining
- Legal and social aspects of data mining
- Others
+ Data Mining Process
- Data cleaning and preparation
- Feature selection and transformation
- Attribute discretisation and encoding
- Sampling and rebalancing
- Missing value imputation
- Model selection/assessment and comparison
- Induction principles
- Model interpretation
- Others
+ Data Mining Applications
- Bioinformatics/Medicine
- Business/Industrial
- Engineering
- Military/Security
- Social science
- Others
+ Data Mining Software
We particularly encourage submissions of industrial applications
and
case studies from practitioners. These will not be evaluated
using
solely theoretical research criteria, but will take general
interest
and presentation stringer into consideration.
+ Alternative and additional examples of possible topics include:
Data Mining for Business Intelligence; Emerging technologies in
data
mining; Computational performance issues in data mining; Data
mining
in usability; Advanced prediction modelling using data mining;
Data
mining and national security; Data mining tools; Data analysis;
Data preparation techniques (selection, transformation, and
preprocessing); Information extraction methodologies; Clustering
algorithms used in data mining; Genetic algorithms and
categorization
techniques used in data mining; Data and information integration;
Microarray design and analysis; Privacy-preserving data mining;
Active
data mining; Statistical methods used in data mining;
Multidimensional
data; Automatic data cleaning; Data visualization; Theory and
practice
(knowledge representation and discovery); Knowledge Discovery in
Databases (KDD); Uncertainty management; Data reduction methods;
Data
engineering; Content mining; Indexing schemes; Information
retrieval;
Metadata use and management; Multidimensional query languages and
query; Multimedia information systems; Search engine query
processing;
Pattern mining; Applications (examples: data mining in education,
marketing, finance and financial services, business applications,
medicine, bioinformatics, biological sciences, science and
technology,
industry and government, ...).
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D
1) Special Session on Text and Web Mining
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.
2) Special Session on Real-World Data Mining Applications, Challenges,
and
Perspectives
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:
=95 Enterprise knowledge management/knowledge discovery
=95 Sales forecasting
=95 Automotive diagnostics
=95 Medical diagnostics
=95 Bioinformatics
=95 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
3) Special Session on Data Mining for Time Series Data - Forecasting,
Classification and Clustering
Organizer: Sven F. Crone, Lancaster Centre for Forecasting at the
Department
of Management Science at Lancaster University Management School, UK,
s.crone@lancaster.ac.uk
This special session of DMIN=9209 will cover all aspects of data mining
for
time series data, particularly forecasting, classification and
clustering of
time series.
CONTACT INFORMATION
For specific questions, contact the appropriate special section
organizer.
For more general questions, contact one of the conference organizers
listed
below.
General Enquiries: Robert Stahlbock
General Conference Chair
conference-chair@dmin--2009.com
Programme Committee: Sven F. Crone
Conference Programme Co-Chair
programme-chair@dmin--2009.com
Student Funding Enquiries: Stefan Lessmann
Student Chair & Conference Programm Co-Chair
student-chai@dmin--2009.com
Tutorials Session Proposals: Philippe Lenca
Tutorial Chair
tutorial-chair@dmin--2009.com
Special Session Proposals: Gary M. Weiss
Special Session Chair
special-session-chair@dmin-2009.com
Exhibitors & Corporate Sponsors : Wolfram Lippe
Exhibit Chair
exhibits-chair@dmin--2009.com
TUTORIAL SESSIONS
All tutorials are free to registered conference attendees of all
conferences held at WOLDCOMP'09. Those who are interested in attending
one or more of the tutorials are to sign up on site at the conference
registration desk in Las Vegas. A complete & current list of WORLDCOMP
Tutorials can be found here.
In addition to tutorials at other conferences, DMIN'09 provides a set
of tutorials dedicated to Data Mining topics. The 2007 key tutorial
was given by Prof. Eamonn Keogh on Time Series Clustering. The 2008
key tutorial was presented by Mikhail Golovnya (Senior Scientist,
Salford Systems, USA) on Advanced Data Mining Methodologies. This year
DMIN will provide the following tutorials:
Tutorial A
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
Organizer:
Nitesh V. Chawla, University of Notre Dame, USA
Topic:
Data Mining with Sensitivity to Rare Events and Class Imbalance
Description
Recent years brought increased interest in applying data mining
techniques to difficult 'real-world' problems, many of which are
characterized by imbalanced learning data, where at least one class is
much rarer relative to others. Examples include (but are not limited
to): fraud/intrusion detection, risk management, medical diagnosis/
monitoring, bioinformatics, text categorization and personalization of
information. The problem of imbalanced data is also often associated
with asymmetric costs of misclassifying elements of different classes.
Additionally the distribution of the test data may differ from that of
the learning sample and the true misclassification costs may be
unknown at learning time. Predictive accuracy, a popular choice for
evaluating performance of a classifier, will not be appropriate when
the data is imbalanced and/or the costs of different errors vary
markedly.
This tutorial will introduce the problem of class imbalance, address
the scope of solutions available, present and contrast the appropriate
metrics for evaluating performance, and discuss the applications with
case studies.
Tutorial B
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
Organizer:
Peter Geczy, National Institute of Advanced Industrial Science and
Technology (AIST), Japan
Topic:
Emerging Human-Web Interaction Research
Date & Time: July 14, 2009 (6:00 =96 8:00 pm) - tentative
Description:
Abstract:
World wide web has evolved from its earlier static form to an
interactive multimedia environment. Richness of interactions is
rapidly approaching that of the conventional stand-alone applications.
Human interactivity with web-based environments has been gaining
increasing importance in both web research and e-commerce. Mining and
exploring human-web interactions bring numerous challenges as well as
opportunities. We will probe into the processes and methods of human-
web interaction research ranging from data acquisition techniques,
throughout analytics, to applications. Accounting for the latest
advances in the field, we will project the prospective future trends.
Objective:
The primary objective of the tutorial is to provide clear, yet
reasonably comprehensive, overview of the underlying principles,
current approaches, and potential future trends. Knowledge of the
state-of-the-art in human-web interaction research should be
beneficial to a wide spectrum of individuals studying, utilizing,
designing, and/or managing web-based information systems.
Audience:
The tutorial aims to approach a broad audience including, but not
limited to:
- Students and Educators
- Academics and Researchers
- Practitioners and Managers
The topic shall be presented in an accessible and intuitive manner
without extensive technical details.
Short Bio:
Dr. Peter Geczy is a senior scientist at The National Institute of
Advanced Industrial Science and Technology (AIST). He also held
positions at The Institute of Physical and Chemical Research (RIKEN)
and The Research Center for Future Technology. His interdisciplinary
scientific interests encompass domains of human interactions and
behavior in digital environments, information systems, knowledge
management and engineering, data and web mining, artificial
intelligence, and machine learning. His recent research focus also
extends to the spheres of service science, engineering, management,
and computing. He received several awards in recognition of his
accomplishments. Dr. Geczy has been serving on various professional
committees, editorial boards, and has been a distinguished speaker in
academia and industry.
Tutorial C (pending - preliminary information! )
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
Organizer: Asim Roy, Arizona State University
Topic: Autonomous Machine Learning
************************************************************
SUBMISSION OF PAPERS:
Prospective authors are invited to submit a draft paper in PDF
format
(up to 7 pages, standard double column IEEE style, single spaced,
10 pt font size, margins left/right/bottom/top 0.75" (19 mm), first
page
top margin 1" (25 mm)), to the DMIN'09 online paper submission
system
by Mar. 11, 2009. The link to the online submission system will be
available on the DMIN'09 website (www.dmin--2009.com).
The length of the Camera-Ready papers (if accepted) will be limited
to
7 (IEEE style) pages. Papers must not have been previously
published
or currently submitted for publication elsewhere. The first page of
the draft paper should include: title of the paper, name,
affiliation,
postal address, and email address of each author as well as the
name
of the conference the paper is being submitted to (i.e., DMIN'09).
The first page should also identify the name of the Contact Author
and a maximum of 5 topical keywords that would best represent the
content of the paper.
To reflect upon feedback from last year we will extend the
feedback
given within the review in aligning them with the IEEE guidelines
for IJCNN and WCCI. In particular, we aim at a fair, objective and
transparent review process. Therefore, we are publishing the
review
criteria to further support the reviews provided (see
www.dmin--2009.com).
Papers will be evaluated for relevance to DMIN, originality,
significance, information content, clarity, and soundness on an
international level. Each aspect will be evaluated on a scale of
1 (bad - reject) to 10 (excellent - accept) or 10%-100%. Papers
need to achieve at least 50% overall score to be accepted without
mandatory revisions. Each paper will be refereed by at least two
researchers in the topical area, and all reviews are being
considered
for the acceptance/rejection decision. Each reviewer can indicate
their expertise and therefore their relative confidence in a
particular recommendation. The camera-ready papers will be
reviewed
by one person.
We particularly encourage submissions of industrial applications
and
case studies from practitioners. To reflect the requirements of an
application or project centric case study presentation, these will
be subject to different review criteria. In particular, they will
not be evaluated using predominantly theoretical research criteria
of originality etc., but will take general interest and
presentation
stronger into consideration. The camera-ready papers will be
reviewed
by one person.
SPONSORS (confirmed as of Feb. 20, 2009):
Academic Sponsors include:
United States Military Academy, Network Science Center, USA;
Biomedical Cybernetics Laboratory, HST of Harvard University and
MIT, USA; Argonne's Leadership Computing Facility of Argonne
National Laboratory, USA; Functional Genomics Laboratory,
University
of Illinois at Urbana-Champaign, USA; Minnesota Supercomputing
Institute, University of Minnesota, USA; Intelligent Data
Exploration and Analysis Laboratory, University of Texas at Austin,
Texas, USA; Harvard Statistics Department Genomics & Bioinformatics
Laboratory, Harvard University, USA; Texas Advanced Computing
Center,
The University of Texas at Austin, Texas, USA; Center for the
Bioinformatics and Computational Genomics, Georgia Institute of
Technology, Atlanta, Georgia, USA; Bioinformatics & Computational
Biology Program, George Mason University, Virginia, USA; Institute
of Discrete Mathematics and Geometry, Vienna University of
Technology, Austria; BioMedical Informatics & Bio-Imaging
Laboratory, Georgia Institute of Technology and Emory University,
Atlanta, Georgia, USA; Knowledge Management & Intelligent System
Center (KMIS) of University of Siegen, Germany; National Institute
for Health Research; Hawkeye Radiology Informatics, College of
Medicine, University of Iowa, USA; Institute for Informatics
Problems
of the Russian Academy of Sciences, Moscow, Russia; Medical Image
HPC
& Informatics Lab (MiHi Lab), University of Iowa, USA; SECLAB of
U. of Naples Federico II, U. of Naples Parthenope, and Second U. of
Naples, Italy; U. of North Dakota, USA; Intelligent Cyberspace
Engineering Lab., ICEL, Texas A&M University (Com./Texas), USA;
International Society of Intelligent Biological Medicine; World
Academy of Biomedical Sciences & Technologies; and European
Commission.
Other Sponsors include:
High Performance Computing for Nanotechnology (HPCNano);
HoIP - Health without Boundaries; The International Council on
Medical and Care Compunetics; The UK Department for Business,
Enterprise & Regulatory Reform; VMW Solutions Ltd.; Scientific
Technologies Corporation; and others.
MEMBERS OF PROGRAMME AND ORGANIZING COMMITTEE:
The programme committee includes members of the chapters of World
Academy of Science (chapters: supercomputing; scientific computing;
AI; imaging science; databases; simulation; software engineering;
embedded systems; internet and web technologies; communications;
computer security; and bioinformatics.) The names of the members
of the programme committee will soon be posted on the web site.
Those interested in joining the programme committee should email
the following information to the programme chair Dr. Sven F. Crone
(eMail programme-chair@dmin--2009.com): Name,affiliation and
position,
complete mailing address, email address, tel/fax numbers, and a
short
biography with research interests and a list of ISI references
papers.
For the list of the members of programme committee of DMIN'08,
refer to:
http://www.dmin-2008.com/programme_committe.htm
Many members of the programme committee include renowned leaders,
scholars, researchers, scientists and practitioners of the highest
ranks;
many are directors of research laboratories, fellows of various
societies,
heads/chairs of departments, deans and provosts.
IMPORTANT DATES:
March 11, 2009: Extended deadline for submission of papers
(about 5 to 7 pages)
April 9, 2009: Notification of acceptance
May 1, 2009: Camera-Ready papers and Registration due
July 13-16, 2009: The 2009 World Congress in Computer Science,
Computer Engineering, and Applied Computing
(WORLDCOMP'09 - 22 joint conferences)
URL WORLDCOMP: http://www.world-academy-of-science.org/worldcomp09/ws
URL DMIN'09: http://www.dmin--2009.com