<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bessiere, Christian</style></author><author><style face="normal" font="default" size="100%">De Raedt, Luc</style></author><author><style face="normal" font="default" size="100%">Tias Guns</style></author><author><style face="normal" font="default" size="100%">Lars Kotthoff</style></author><author><style face="normal" font="default" size="100%">Mirco Nanni</style></author><author><style face="normal" font="default" size="100%">Siegfried Nijssen</style></author><author><style face="normal" font="default" size="100%">Barry O'Sullivan</style></author><author><style face="normal" font="default" size="100%">Paparrizou, Anastasia</style></author><author><style face="normal" font="default" size="100%">Dino Pedreschi</style></author><author><style face="normal" font="default" size="100%">Simonis, Helmut</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Inductive Constraint Programming Loop</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE Intelligent Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Constraint programming is used for a variety of real-world optimization problems, such as planning, scheduling and resource allocation problems. At the same time, one continuously gathers vast amounts of data about these problems. Current constraint programming software does not exploit such data to update schedules, resources and plans. We propose a new framework, which we call the inductive constraint programming loop. In this approach data is gathered and analyzed systematically in order to dynamically revise and adapt constraints and optimization criteria. Inductive Constraint Programming aims at bridging the gap between the areas of data mining and machine learning on the one hand, and constraint programming on the other.</style></abstract></record></records></xml>