Data Mining and Constraint Programming

Data Mining and Constraint Programming

Foundations of a Cross-Disciplinary Approach

Pedreschi, Dino; Nijssen, Siegfried; O'Sullivan, Barry; Kotthoff, Lars; Bessiere, Christian; De Raedt, Luc

Springer International Publishing AG

12/2016

349

Mole

Inglês

9783319501369

15 a 20 dias

5504

Descrição não disponível.
Introduction to Combinatorial Optimisation in Numberjack.- Data Mining and Constraints: An Overview.- New Approaches to Constraint Acquisition.- ModelSeeker: Extracting Global Constraint Models from Positive Examples.- Learning Constraint Satisfaction Problems: An ILP Perspective.- Learning Modulo Theories.- Algorithm Selection for Combinatorial Search Problems: A Survey.- Adapting Consistency in Constraint Solving.- Modeling in MiningZinc.- Partition-Based Clustering Using Constraint Optimisation.- The Inductive Constraint Programming Loop.- ICON Loop Carpooling Show Case.- ICON Loop Health Show Case.- ICON Loop Energy Show Case.
combinatorial optimization;constraint optimization;constraint solving;inductive logic programming;machine learning;algorithm selection;combinatorial search;constraint programming;constraint satisfaction;data mining;finite domain constraint models;hybrid domains;model acquisition;partition-based clustering;planning;quality of service;resource optimization;resource-allocation;scheduling;state-of-the-art solvers