ICON

Inductive Constraint Programming

Coordinatore	KATHOLIEKE UNIVERSITEIT LEUVEN    more  Organization address address: Minderbroedersstraat 8A-5105 city: Leuven postcode: 3000 contact info Titolo: Ms. Nome: Sofie Cognome: Heroes Email: send email Telefono: +32 16 32 9979 Fax: +32 16 32 6515
Nazionalità Coordinatore	Belgium [BE]
Totale costo	2˙376˙831 €
EC contributo	1˙818˙012 €
Programma	FP7-ICT Specific Programme "Cooperation": Information and communication technologies
Code Call	FP7-ICT-2011-C
Funding Scheme	CP
Anno di inizio	2012
Periodo (anno-mese-giorno)	2012-01-01   -   2015-06-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	KATHOLIEKE UNIVERSITEIT LEUVEN  Organization address address: Minderbroedersstraat 8A-5105 city: Leuven postcode: 3000 contact info Titolo: Ms. Nome: Sofie Cognome: Heroes Email: send email Telefono: +32 16 32 9979 Fax: +32 16 32 6515	BE (Leuven)	coordinator	0.00
2	CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE  Organization address address: Rue Michel -Ange 3 city: PARIS postcode: 75794 contact info Titolo: Dr. Nome: Jocelyn Cognome: Méré Email: send email Telefono: +33 4 67 61 35 35 Fax: +33 4 67 04 32 36	FR (PARIS)	participant	0.00
3	UNIVERSITA DI PISA  Organization address address: LUNGARNO PACINOTTI 43/44 city: PISA postcode: 56126 contact info Titolo: Dr. Nome: Paola Cognome: Fabiani Email: send email Telefono: 390502000000 Fax: 390502000000	IT (PISA)	participant	0.00
4	UNIVERSITE MONTPELLIER 2 SCIENCES ET TECHNIQUES  Organization address address: PLACE EUGENE BATAILLON 2 city: MONTPELLIER postcode: 34095 contact info Titolo: Mr. Nome: Jean-Michel Cognome: PORTEFAIX Email: send email Telefono: +33 4 67 14 49 71 Fax: +33 4 67 14 93 25	FR (MONTPELLIER)	participant	0.00
5	UNIVERSITY COLLEGE CORK, NATIONAL UNIVERSITY OF IRELAND, CORK  Organization address address: WESTERN ROAD city: CORK postcode: - contact info Titolo: Dr. Nome: David Cognome: O' Connell Email: send email Telefono: 353214000000 Fax: 353215000000	IE (CORK)	participant	0.00

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 Obiettivo del progetto (Objective)

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 project starts from the observation that current software typically does not exploit such data to update schedules, resources and plans. It aims at developing 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 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.