Detecting traffic problems with ILP | Zendy

Sašo Džeroski | Zendy; Nico Jacobs | Zendy; Martín Molina | Zendy; Carlos Moure | Zendy; Stephen Muggleton | Zendy; Wim Van Laer | Zendy

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Detecting traffic problems with ILP

Author(s) -

Sašo Džeroski,

Nico Jacobs,

Martín Molina,

Carlos Moure,

Stephen Muggleton,

Wim Van Laer

Publication year - 1998

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-64738-4

DOI - 10.1007/bfb0027332

Subject(s) - inductive logic programming , computer science , task (project management) , artificial intelligence , knowledge acquisition , machine learning , propositional calculus , programming language , systems engineering , engineering

. Expert systems for decision support have recently been successfullyintroduced in road transport management. These systems includeknowledge on traffic problem detection and alleviation. The paperdescribes experiments in automated acquisition of knowledge on trafficproblem detection. The task is to detect road sections where a problemhas occured (critical sections) from sensor data. It is necessary to useinductive logic programming (ILP) for this purpose as relational backgroundknowledge ...

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