References
- 1. ADB (2015) Improving interchanges: Introducing best practices on multimodal interchange hub development in the People’s Republic of China. ASIAN DEVELOPMENT BANK.
- 2. Acharia, T., Yang, I., Lee, D. (2015) Application of J48 Decision Tree for the Identification of Water Bodies Using Landsat 8 OLI Imagery. In: 2nd International Electronic Conference on Sensors and Applications. Online.
- 3. Ahishakiye, E., Omulo, E., Taremwa, D., Niyonzima, I. (2017) Crime Prediction Using Decision Tree (J48) Classification Algorithm, International Journal of Computer and Information Technology, 6(3): 188-195.
- 4. Allmuali, H., Kaneda, S., Akiba, Y. (2002) Development and Applications of Decision Trees. In: Expert Systems, Vol.1, Academic Press.
- 5. Breiman, L., Friedman, J H., Olshen, R.A., and Stone, C.J. (1984) Classification and regression trees. Monterey, CA: Wadsworth.
- 6. de Ona, J., de Ona, R., Calvo, F. (2011) A Classification Tree Approach to Identify Key Factors of Transit Service Quality. Expert Systems with Applications, 39: 11164-11171.
- 7. de Ona, J., de Ona, R., Lopez, G. (2016) Transit Service Quality Analysis and Decision Trees: A Step Forward to Personalized Marketing in Public Transportation. Transportation, 43(5): 725-747.
- 8. Dota, M., Cugnasca, C., Barbosa, D. (2015) Comparative Analysis of Decision Tree Algorithms on Quality of Water Contaminated with Soil. Ciencia Rural, 45(2): 267-273.
- 9. European Commission (2001) White Paper “European transport policy for 2010: Time to decide”. CEC.
- 10. Ewing, R., Schmid, T., Killingsworth, R., Zlot, A. and Raudenbush, S. (2008) Relationship between urban sprawl and physical activity, obesity and morbidity. In: J. M. Marzluff, E. Shulenberger, W. Endlicher, M. Alberti, G. Bradley, C. Ryan, U. Simon and C. ZumBrunnen (Eds). New York: Urban Ecology, 567–582.
- 11. Gao, W., Tang, W., Wang, X. (2013) Application of an Improved C4.5 Algorithm in Performance Analysis. Applied Mechanics and Materials, 380-384: 1681-1684.
- 12. Kapoor, P., Rani, R. (2015) Efficient Decision Tree Algorithm Using J48 and Reduced Error Pruning. International Journal of Engineering Research and General Science, 3(3): 1613-1621.
- 13. Kaur, G., Chhabra, A. (2014) Improved J48 Classification Algorithm for the Prediction of Diabetes. International Journal of Computer Applications, 98(22): 13-17.
- 14. Kumar, A. (2014) Design and Applications of Decision Trees. International Journal of Computer Science Trends and Technology, 2(4): 94-98.
- 15. Maleki-Entezari, R., Rezaei, A., Minaei-Bidgoli, B. (2009) Comparison of Classification Methods Based on the Type of Attributes and Sample Size. Journal of Convergence Information Technology, 4(3): 94-102.
- 16. Nathanail, E., Adamos, G., Tsami, M. (2016) Why Interchanges? Understanding intermodality, In: A.Monzon and F.d.Ciommo (eds), CITY-HUBs: Sustainable and Efficient Urban Transport Interchanges, 13-36.
- 17. Patil, T., Sherekar, S. (2013) Performance Analysis of Naive Bayes and J48 Classification Algorithm for Data Classification. International Journal of Computer Science and Applications, 6(2): 256-261.
- 18. Quinlan, (1993) C4.5: Programs for machine learning. San Francisco: Morgan Kaufmann.
- 19. RD PAD, (2017) The economic profile of Riga 2017. Riga: Riga city council Development department.
- 20. Song, Y., Lu, Y. (2015) Decision Tree Methods: Applications for Classification and Prediction. Shanghai Archives of Psychiatry, 27(2): 130-135.
- 21. Tsami, M., Nathanail, E. (2016) Guidance Provision for Increasing Quality of Service of Public Transport. In: 16th Conference on Reliability and Statistics in Transportation and Telecommunication. Riga, Latvia.
- 22. Tsami M., Budilovich (Budiloviča) E., Magginas V., Adamos G., Yatskiv (Jackiva) I. (2018) Assessing the Design and Operation of Riga’s International Coach Terminal. In: Kabashkin I., Yatskiv I., Prentkovskis O. (eds) Reliability and Statistics in Transportation and Communication. RelStat 2017. Lecture Notes in Networks and Systems, vol.36. Springer, 497-506
- 23. Vaadaala, V., Rao, R., Rao, V. (2013) Classification of Web Services Using JForty Eight. International Journal of Electronics Communication and Computer Engineering, 4(6): 181-184.
- 24. Vuchic, V. R. (2005) Urban Transit: Operations, Planning, and Economics. New York: John Wiley.
- 25. Yan, N., Ju, W., Fang, H., Sato, R. (2015) Application of J48 Decision Tree Classifier in Emotion Recognition Based on Chaos Characteristics. In: International Conference on Automation, Mechanical Control and Computational Engineering. Changsha, China.