Matching office firms types and location characteristics: An exploratory analysis using Bayesian classifier networks

Author:

Manzato Gustavo G.,Arentze Theo A.,Timmermans Harry J.P.,Ettema Dick

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference27 articles.

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2. Andersen, S. K., Olesen, K. G., Jensen, F. V., & Jensen, F. (1989). Hugin – A shell for building Bayesian belief universes for expert systems. In 11th International joint conference on artificial intelligence (pp. 1080–1085). Detroit.

3. Using decision tree induction systems for modeling space–time behavior;Arentze;Geographical Analysis,2000

4. Regimes in social-cultural events-driven activity sequences: Modelling approach and empirical application;Arentze;Transportation Research Part A: Policy and Practice,2009

5. Cheng, J., & Greiner, R. (1999). Comparing Bayesian network classifiers. In Proceedings of the 15th conference on uncertainty in artificial intelligence.

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