Data Mining and Constraint Programming Foundations of a Cross-Disciplinary Approach /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Bessiere, Christian (Editor), De Raedt, Luc (Editor), Kotthoff, Lars (Editor), Nijssen, Siegfried (Editor), O'Sullivan, Barry (Editor), Pedreschi, Dino (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: Lecture Notes in Computer Science, 10101
• Subjects: Computer science.; Algorithms.; Database management.; Data mining.; Artificial intelligence.; Computer simulation.; Computer Science.; Artificial Intelligence (incl. Robotics).; Information Systems Applications (incl. Internet).; Simulation and Modeling.; Algorithm Analysis and Problem Complexity.; Database Management.; Data Mining and Knowledge Discovery.

A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications. It could change the face of data mining and machine learning, as well as constraint programming technology. It would not only allow one to use data minin...

Table of Contents:

• 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.