MLB 2012 - Special Session on Machine Learning for Business
Topics/Call fo Papers
** Special Session on Machine Learning for Business
part of IJCNN:
2012 IEEE World Congress on Computational Intelligence
Brisbane, Australia
June 10-15, 2012
* MORE INFORMATION
http://www.icmc.usp.br/~mlb-wcci
* ORGANIZERS
André Carvalho, University of São Paulo (USP) at São Carlos, Brazil
Carlos Soares, LIAAD-INESC TEC-Faculdade de Economia, Universidade do
Porto, Portugal
Ricardo B. C. Prudêncio, Federal University of Pernambuco (UFPE) at
Recife, Brazil
Teresa B. Ludermir, Federal University of Pernambuco (UFPE) at Recife,
Brazil
* DESCRIPTION
Business, government and science organizations are increasingly moving
towards decision-making processes that are based on information. In
parallel, the amount of data representing the activities of
organizations that is stored in databases is also growing. Therefore,
the pressure to extract as much useful information as possible from
this data is very strong. Many tools for Data Mining (DM) and Business
Intelligence (BI) have been developed for that purpose, including
Neural Networks and other Machine Learning (ML) algorithms. These
methods are increasingly being integrated into other information
systems and tools (e.g., customer relationship management, database
management systems, network security tools). Despite the maturity of
the field, new problems and applications are continuously challenging
both researchers and practitioners. The successful development of
solutions for those problems requires that companies and universities
work in close contact. Feedback from people with a business-oriented
perspective is useful to assess current research results and to
provide researchers with new challenges to work on. On the other hand,
practitioners as well as decision makers in general need to be in
touch with state-of-the-art research. Otherwise, they will not be able
to provide the best solutions to their problems or to the problems of
their clients. However, contact between these two communities is not
as frequent as would be desirable. Although neural networks, pattern
recognition, data mining and machine learning conferences provide an
important contribution, they mostly attract an audience with a more
technical and research background.
Following the successful organization of similar events together with
other prestigious conferences (KDD, ECML-PKDD and PAKDD), in 2012 we
have teamed up with IJCNN. The goal of this special session is to
bring together practitioners and researchers both from companies,
government and academia, therefore promoting the exchange of
experiences, ideas and challenges.
* OBJECTIVES
To promote the exchange of ideas between researchers and
practitioners, from companies, government and universities and coming
from different areas of expertize, including neural networks, machine
learning, data mining, pattern recognition, soft computing, fuzzy
systems and statistics. This is achieved by presenting and discussing:
-case studies and experience reports of the application of intelligent
technologies, emphasizing the benefits as well as the lessons learned
-challenges and innovative applications
-integration of intelligent technologies with other technologies and
business processes
* TOPICS OF INTEREST
We are interested in presentations concerning applications, techniques
and products. We are interested in applications from (but not
restricted to) the following areas: government, banking and finance,
insurance, retail, e-business, telecommunications, network security,
entertainment, automotive industry, health and pharmaceutics.
We welcome success stories as well as applications which did not
succeed. In any case the presentations should include lessons learned
that can be useful in different situations. Submissions comparing
different tools on applications are also interesting. In the case of
techniques, we are particularly interested in innovative techniques
used to address novel problems. Finally, submissions concerning tools
can describe the integration of computational intelligence
technologies into Information Systems tools of different kinds,
especially in the case of tools for vertical applications.
* SUBMISSION
Papers should be submitted following the instructions at the WCCI 2012
web site at: http://www.ieee-wcci2012.org/
Select the correct special session AND notify the chairs of your
submission by sending email to dmbiz-AT-fep.up.pt.
* IMPORTANT DATES
-Paper submission deadline: January 18, 2012
-Paper acceptance notification: February 20, 2012
-Final paper submission: April 2, 2012
-Conference: June 10-15 2012
part of IJCNN:
2012 IEEE World Congress on Computational Intelligence
Brisbane, Australia
June 10-15, 2012
* MORE INFORMATION
http://www.icmc.usp.br/~mlb-wcci
* ORGANIZERS
André Carvalho, University of São Paulo (USP) at São Carlos, Brazil
Carlos Soares, LIAAD-INESC TEC-Faculdade de Economia, Universidade do
Porto, Portugal
Ricardo B. C. Prudêncio, Federal University of Pernambuco (UFPE) at
Recife, Brazil
Teresa B. Ludermir, Federal University of Pernambuco (UFPE) at Recife,
Brazil
* DESCRIPTION
Business, government and science organizations are increasingly moving
towards decision-making processes that are based on information. In
parallel, the amount of data representing the activities of
organizations that is stored in databases is also growing. Therefore,
the pressure to extract as much useful information as possible from
this data is very strong. Many tools for Data Mining (DM) and Business
Intelligence (BI) have been developed for that purpose, including
Neural Networks and other Machine Learning (ML) algorithms. These
methods are increasingly being integrated into other information
systems and tools (e.g., customer relationship management, database
management systems, network security tools). Despite the maturity of
the field, new problems and applications are continuously challenging
both researchers and practitioners. The successful development of
solutions for those problems requires that companies and universities
work in close contact. Feedback from people with a business-oriented
perspective is useful to assess current research results and to
provide researchers with new challenges to work on. On the other hand,
practitioners as well as decision makers in general need to be in
touch with state-of-the-art research. Otherwise, they will not be able
to provide the best solutions to their problems or to the problems of
their clients. However, contact between these two communities is not
as frequent as would be desirable. Although neural networks, pattern
recognition, data mining and machine learning conferences provide an
important contribution, they mostly attract an audience with a more
technical and research background.
Following the successful organization of similar events together with
other prestigious conferences (KDD, ECML-PKDD and PAKDD), in 2012 we
have teamed up with IJCNN. The goal of this special session is to
bring together practitioners and researchers both from companies,
government and academia, therefore promoting the exchange of
experiences, ideas and challenges.
* OBJECTIVES
To promote the exchange of ideas between researchers and
practitioners, from companies, government and universities and coming
from different areas of expertize, including neural networks, machine
learning, data mining, pattern recognition, soft computing, fuzzy
systems and statistics. This is achieved by presenting and discussing:
-case studies and experience reports of the application of intelligent
technologies, emphasizing the benefits as well as the lessons learned
-challenges and innovative applications
-integration of intelligent technologies with other technologies and
business processes
* TOPICS OF INTEREST
We are interested in presentations concerning applications, techniques
and products. We are interested in applications from (but not
restricted to) the following areas: government, banking and finance,
insurance, retail, e-business, telecommunications, network security,
entertainment, automotive industry, health and pharmaceutics.
We welcome success stories as well as applications which did not
succeed. In any case the presentations should include lessons learned
that can be useful in different situations. Submissions comparing
different tools on applications are also interesting. In the case of
techniques, we are particularly interested in innovative techniques
used to address novel problems. Finally, submissions concerning tools
can describe the integration of computational intelligence
technologies into Information Systems tools of different kinds,
especially in the case of tools for vertical applications.
* SUBMISSION
Papers should be submitted following the instructions at the WCCI 2012
web site at: http://www.ieee-wcci2012.org/
Select the correct special session AND notify the chairs of your
submission by sending email to dmbiz-AT-fep.up.pt.
* IMPORTANT DATES
-Paper submission deadline: January 18, 2012
-Paper acceptance notification: February 20, 2012
-Final paper submission: April 2, 2012
-Conference: June 10-15 2012
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Last modified: 2012-01-01 10:43:53