Classification Decision Tree Based Forecasting

Proceedings of Seventh International Conference on Application of Fuzzy Systems and Soft Computing (ICAFS-2006) 2006
Sergejs Paršutins, Arkādijs Borisovs

This paper is focused on such topics as possibility of using classification decision trees for forecasting continuous values and related problems: classification tree modification, choosing the best tree and managing the blocked value intervals. Section 2 presents theoretical solutions to the mentioned problems and Section 3 shows how methods, considered in Section 2, are realised in practise.

Atslēgas vārdi
classification decision trees, forecasting
Hipersaite
http://lasg.ditf.rtu.lv/Portals/0/LASG/Research/Publications/2006/2006-Parshutin-Borisov-ICAFS.pdf

Paršutins, S., Borisovs, A. Classification Decision Tree Based Forecasting. No: Proceedings of Seventh International Conference on Application of Fuzzy Systems and Soft Computing (ICAFS-2006), Vācija, Siegen, 13.-14. septembris, 2006. Siegen: b-Quadrat Verlag, 2006, 124.-130.lpp.

Publikācijas valoda
English (en)