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Data Mining as a Tool for Environmental Scientists (DM-TES'08)
- Subject: Data Mining as a Tool for Environmental Scientists (DM-TES'08)
- From: "Alejandro C. Frery" <acfrery@pesquisador.cnpq.br>
- Date: Wed, 19 Dec 2007 14:36:25 -0200
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Second Workshop in coordination with First Session on Data Mining as a
Tool for Environmental Scientists (DM-TES'08) within the 4th Biennial
Meeting of the International Environmental Modelling and Software
Society (iEMSs 2008) .
=============================
July 6-10, 2008. Campus Nord, Technical University of Catalonia,
Barcelona, Catalonia, Spain
(http://www.iemss.org/iemss2008 )
=============================
The conference is organized by iEMSs ( International Environmental
Modelling and Software society). We address you as a possible
contributor to the workshop and/or to the session on Data Mining
Techniques for Environmental Scientists within the main Conference.
.
Aim and Scope :
---------------
DM-TES08 is a joint session and workshop aiming to approach and to
promote the interaction between the Environmental Sciences community
to the Data Mining community and related fields, such as Artificial
Intelligence, Statistics or other fields to discuss the contribution
of Data Mining techniques to Knowledge Discovery in Environmental
Sciences, as well as to make data mining techniques more accessible to
environmental modellers, also providing to data miners and developers
a better idea of the needs and desires of the environmental
community. The workshop will introduce interested parties to a range
of data mining techniques and a selection of software packages.
Over recent years a huge library of data mining algorithms have been
developed to tackle a variety of problems in fields as diverse as
medical imaging and network traffic analysis. Many of these techniques
are far more flexible than more classical modelling approaches and
could be usefully applied to data-rich environmental problems.
Certain techniques such as Artificial Neural Networks, Clustering,
Case Based Reasoning and more recently Bayesian Decision Networks,
have found application in environmental modelling, often being used to
address difficult and important problems. Other methods, for example
Classification and Association Rule Extraction, have not been taken up
by environmental modellers on any wide scale. On the other hand,
classical statistical techniques for data analysis as regression, time
series or principal components analysis are also suitable and have
been applied for data mining of environmental data. Finally, our
oppinion is that integration of different techniques (either machine
learning or statistics) into the modelling process may prove to be a
useful approach for many difficult problems, and constitutes an open
issue to be explored.
Several high quality software packages have been developed, that
enable easy investigation of data using multiple techniques. The WEKA
package is one of the most widely applied and is open source and
freely available for download, and GESCONDA is an environmental
science-specific data mining and analysis suite currently under
development. While a small number of environmental science projects
have taken advantage of such technology and the wealth of recent data
mining research, most of these have been undertaken by or with data
mining specialists, and the majority of environmental modellers remain
unaware of the tools available.
Inside iEMSs08 there is a conjoint organization of a workshop and a
session devoted to Environmental Data Mining. We aim to introduce
interested parties to a range of data mining techniques and to a small
selection of software packages. We would like to bring those working
specifically in the environmental modelling area into contact with
data mining software and software developers, to make data mining
techniques more accessible to modellers and to give developers a
better idea of the needs and desires of the modelling community. The
WEKA and GESCONDA packages will be introduced and discussed
specifically, but not exclusively. We also invite presentations of
interesting applications of data mining to environmental problems from
workshop participants. . .
In the Session, named as S20ordinary papers related with the topics of
interest will be welcomed. People is invited to present their works,
researches and open problems there.
In the workshop, named as W4 on the IEMSS web site, further
discussion on the contribution of Data Mining to the Environmental
Systems analysis is aimed. An invited position paper will be submitted
to discussion in the wiki and participants are welcomed to send
abstracts somehow connected with the position paper. Only abstracts
are required for the workshop. Please, send your full-papers (if any)
to the DM-TES-Session. .
Joint participation to the DM-TES-Session and DM-TES-Workshop is
encouraged, but it is not mandatory to participate in both.
Registration:
-------------
Accepted contributors must register for the IEMSS conference to be
able to attend the workshop.
Remember that a cheaper rate applies to registrations before 31st March, 2007.
DM-TES –Session
-------------------------
The DM-TES-Session is thought as traditional conference session.
Session participants will present their
research work, which should be innovative enough either in the
techniques and methods developed or in the application field.
DM-TES-Session Topics of interest and submission details:
-----------------------------------
Contributions to the DM-TES Session are invited from all Environmental
fields and from Artificial Intelligence, Statistics or other fields
related to Data Mining, showing different data mining techniques that
can be useful to the environmental systems community, whether for
system characterisation, prediction, validation, or supporting a
posteriori decision-making. New or improved techniques and methods are
welcome, as well as innovative applications. Abstracts emphasising
(but not limited to) the following topics are of particular interest
to the workshop:
• The role of the Preprocessing and postprocessing in the whole Data
Mining process
• Environmental problems that may benefit from analysis with data mining
• Specific applications where classical statistical or AI techniques
do not perform well
• Successful applications of Data Mining Techniques to Environmental Domains
• Interaction between AI and Statistic techniques for DM of
Environmental Domains
• Integration of different technologies or paradigms
• Improvement of methods for knowledge acquisition from environmental databases
• Error, uncertainty and missing data treatment within the context of
data mining
• Requirements on data quantity and quality
• Dealing with distributed databases, or integration of heterogeneous
data sources
• Techniques for dealing with spatial and time-series data
• Data mining software
• Environmental databases to be shared for benchmarking purposes
• Benchmarking methodologies and guidelines for successful testing and
validation of data mining methods and models
• Optimal real-time data mining for environmental systems
• Methods for presenting extracted knowledge
Instruction for Session Authors
-------------------------------------
Authors planning a submission to DM-TES Session should contact the
Session organizer as soon as possible (no later than 31st desember) to
indicate interest. Please send an e-mail to karina.gibert@upc.edu and
provide title and authors.
Send an extended abstract for acceptance of no more than 450 words in
plain text through the WCMT (Web Confrerence Management Tool,
accessible from conference website, http://www.iemss.org/iemss2008) no
later than 31st December, 2007. Eventual publication details for
abstracts and papers is discussed below.
Each abstract will be approved by the session organizers.
After abstract is accepted, authors should send their original
full-paper, also through WCMT by 15th February 2008. Full-papers will
be reviewed by at least 2 peers. The reviewers will be selected among
session organisers. The paper should conform to the format guidelines
of the broader IEMSS Conference.
Notification of provisional acceptance will be sent prior to 15th March, 2008.
The Session Committee must receive final camera-ready full papers,
revised according to the suggestions of the reviewers, no later than
30st April, 2008.
Session Structure
---------------------
A formal scheme will be followed in sessions' presentation: 15-20
minutes of presentation and 5 minutes for questions. Sessions will be
structured in time slots. The number of time slots assigned to a
session will depend on the number of accepted session papers.
Publications arising from the session:
-------------
All accepted full-papers will be published in the Electronic
Conference Proceedings in a CD-ROM before the Conference (with ISBN).
A selection of the best papers will be proposed to the General
conference Committee for a special issue on Environmental Modelling
and Software from Elsevier or similar international journal, after an
extension and additional reviewing period.
Session IMPORTANT DATES:
----------------
Session Abstracts submission: 31 December 2007
Notification of acceptance: 11 January 2008
Session Full-paper submission: 15 February 2008
Notification of provisional paper acceptance 15 March 2008
Early conference registration 31 March
2008
Final revised camera-ready abstracts or full papers: 30 April 2008
Session at iEMSs08 7 – 10 July 2008
DM-TES Workshop:
--------------------------
Workshop structure:
----------
DM-TES'08 is part of the very innovative program of workshops
incorporated into the IEMSS Summit for the first time in 2006.
Organizers will present an Invited Position Paper, introducing the
state of the art and opportunities and challenges in the area, as the
opening of the workshop. The aim of the initial presentation is to
support depth of discussion among participants, which is to make up
the main kernel of the workshop. The main goal of the workshop is to
obtain clear direction towards addressing the opportunities and
challenges of Data Mining in Environmental Sciences, to be reported to
the scientific community after the IEMSS Conference. The Invited
Position Paper will be distributed to participants through the wiki by
January 11th 2008.
Workshop contributions and instruction for workshop authors
-----------------------------
Comments and suggestions about the Invited Position Paper from
participants are welcomed before as well as during the workshop, in
order to best facilitate the establishment of clear and considered
conclusions that reflect the views and ideas of the workshop.
Authors planning a wokshop submission should contact workshop
organisers as soon as possible (by no later than 31st December 2007)
to indicate interest. Please send an e-mail to Karina Gibert
(karina.gibert@upc.edu ), and provide a provisional title, somehow
connected with the Invited Position Paper or with topics interesting
for the further discussion, if you intend to submit an abstract. Full
papers are not considered in Workshops, but may be submitted to
sessions. Eventual publication arising from the workshop is discussed
below.
Authors should submit their original abstract of no more than 300
words through the wiki (http://www.iemss.org/iemss2008) before 27th
January, 2008. The abstract should include conform to the format
requirements of the broader IEMSS Conference. Each abstract will be
reviewed by at least 2 peers. The reviewers will be selected from
among workshop contributors and organisers.
Notification of acceptance will be sent prior to 20th February, 2008.
After that, the wiki will centralize the discussion among participants
till the date of the workshop.
Publications arising from the workshop:
-------------
All accepted abstracts will be published in the Electronic Conference
Proceedings in a CD-ROM before the Conference (with ISBN).
Main conclusions of the workshop are expected to be collected in an
updated Position Paper co-authored by participants and organisers, to
be published in the Environmental Modelling and Software journal by
Elsevier, or similar international journal.
Workshop IMPORTANT DATES:
----------------
On-line publication of invited position papers: 11th January 2008
Workshop Abstracts submission: 27 January 2008
Notification of acceptance: 20 February 2008
On-line discussion and wotk through the wiki: February-July
Early conference registration: 31 March 2008
Final revised camera-ready abstracts or full papers: 21 March 2008
Workshop: 7 – 10 July 2008
DM-TES-WORKSHOP and DM-TES-SESSION ORGANIZING COMMITTEE:
---------------------------------------------------------
General chair: D. Karina Gibert Oliveras, Dep. Statistics and
Operation Research. Knowledge Engineering and Machine Learning
group. UPC, Barcelona, Spain
D. Miquel Sànchez Marrè, Knowledge Engineering and Machine Learning Group,
Technical University of Catalonia. Barcelona, Catalonia
D. Joaquim Comas Laboratory of Chemical and Environmental Engineering (LEQUIA)
University of Girona, Catalonia
Ioannis Athanasiadis Istituto Dalle Molle di Studi sull'Intelligenza
Artificiale. Lugano, Switzerland
Joaquín Izquierdo Grupo Multidisciplinar de Modelación de Fluidos.
Universidad Politécnica de Valencia
Geoffrey Holmes, Department of Com
--
Alejandro C. Frery
Rio de Janeiro, RJ - Brazil
Acta est fabula