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Call for Participation
Summer School: Constraint Programming Meets Data Mining
http://kdd.isti.cnr.it/ICONSummerSchool/
supported by the EU FP 7 FET Open Project ICON
http://www.icon-fet.eu/
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In industry, society and science, advanced software is used for solving,
planning, scheduling and resource allocation problems, collectively known as
constraint satisfaction or optimization problems. At the same time, one
continuously gathers vast amounts of data about these problems. This summer
school starts from the observation that current software typically does not
exploit such data to update schedules, resources and plans and aims at
introducing a new approach in which gathered data is analysed systematically in
order to dynamically revise and adapt constraints and optimization criteria.
Ultimately, this could create a new ICT paradigm, called Inductive Constraint
Programming, that bridges the gap between the areas of data mining and machine
learning on the one hand, and constraint programming and optimization on the
other hand. If successful, this would change the face of data mining as well as
constraint programming technology. It would not only allow one to use data
mining techniques in constraint programming to improve the formulation and
solution of constraint satisfaction problems, but also to employ declarative
constraint programming principles in data mining and machine learning.
One remarkable example is society, where human activities mediated by ICT
generates big data in the form
of digital traces that cannot only be used to evaluate the performance of the
underlying
constraint satisfaction and optimization models but also to automatically
revise and improve
the underlying models so that the solutions are automatically adapted to the
behavior
of the people. As one example, consider a public transportation schedule that
continuously
adapts itself to the real mobility patterns of people represented by the
digital traces of individual travels.
Thus the knowledge mined in (big) data can help to adapt schedules, resources
and plans to
the real dynamics in the real world.
So far, constraint solving has evolved quite independently from machine
learning and
data mining. There has recently been a growing interest in the integration of
these two
fields, which can work in two ways: (a) constraint solvers can be included in
machine
learning and data mining algorithms; and (b) machine learning and data mining
can help
in addressing and formulating constraint problems. Promising initial results
have been achieved in both directions,
in the ICON project and beyond and further research is ongoing to establish a
full integration.
The summer school "Constraint Programming meets Data Mining", organized by the
FP7-ICT
FET Open project ICON “Inductive Constraint Programming”
(http://www.icon-fet.eu) provides
an intensive training opportunity to learn the essentials of recent research on
constraint
solving, machine learning and data mining, and the key aspects related to their
integration.
Students will follow lectures from top experts of the fields, and will receive
personalized
training on selected exercises in hands-on labs.
- Christian Bessiere, CNRS, University of Montpellier - France
- Ian Davidson, University of California, Davis, US
- Luc De Raedt, KU Leuven - Belgium
- Tias Guns, KU Leuven - Belgium
- Lars Kotthoff, University College Cork - Ireland
- Yuri Malitsky, University College Cork - Ireland
- Mirco Nanni, ISTI-CNR, Pisa - Italy
- Siegfried Nijssen, KU Leuven and University of Leiden - Belgium / The
Netherlands
- Dino Pedreschi, University of Pisa - Italy
- Salvatore Ruggieri, University of Pisa - Italy
- Helmut Simonis, University College Cork - Ireland
*** Important Dates ***
Deadline for application: May 20, 2014
Notification: May 30, 2014
Summer school starts: September 1st, 2014
Summer school ends: September 5, 2014
*** Venue ***
The venue for this event is Sampieri, an old fishing village, perhaps the most
picturesque in the province of Ragusa, Sicily, Italy. This village is
characterized by stone houses and very small streets in old stones.
The Summer school is held at the Marsa Siclà Residence in Sampieri, which is
composed by 82 apartments and by the Club House including bar,
restaurant/pizzeria, and other collective services.
Residence facilities include: swimming-pool, volley court and a tennis court,
soccer court, ping-pong table, etc.
For more details see http://www.marsasicla.it/en/
We are looking forward to your participation!
*** School committees ***
Steering Committee
Christian Bessiere, CNRS, University of Montpellier - France
Remi Coletta, University of Montpellier - Frances
Luc De Raedt, KU Leuven - Belgium (Co-Program Chair)
Siegfried Nijssen, KU Leuven and University of Leiden - Belgium/The Netherlands
Barry O'Sullivan, University College Cork - Ireland
Dino Pedreschi, University of Pisa - Italy (Co-Program Chair)
Helmut Simonis, University College Cork - Ireland
Franco Turini, University of Pisa - Italy
Salvatore Ruggieri, University of Pisa - Italy
Organizing Committee
Anna Monreale, University of Pisa - Italy
Valerio Grossi, University of Pisa - Italy
Mirco Nanni, ISTI-CNR, Pisa - Italy
Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm
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