Title :
Profit Forecasting Using Support Vector Regression for Consulting Engineering Firms
Author :
Yepes, Víctor ; Pellicer, Eugenio ; Ferri, Francesc J.
Author_Institution :
Sch. of Civil Eng., Univ. Politec. de Valencia, Valencia, Spain
fDate :
Nov. 30 2009-Dec. 2 2009
Abstract :
This paper introduces Support Vector Machines (SVM) in the particular field of decision support systems for consulting engineering companies and studies the differences and particularities of the corresponding solutions. A detailed analysis has been performed in order to assess the suitability and adaptability of these methods for the particular task taking into account the risk/benefit tradeoff.
Keywords :
construction industry; consultancies; forecasting theory; profitability; regression analysis; support vector machines; consulting engineering companies; consulting engineering firms; decision support systems; profit forecasting; support vector regression; Artificial neural networks; Civil engineering; Contracts; Costs; Decision support systems; Design engineering; Economic forecasting; Macroeconomics; Pricing; Support vector machines; Bidding; Consulting; Decision Support Systems; Pattern Classification; Support Vector Machines;
Conference_Titel :
Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
Conference_Location :
Pisa
Print_ISBN :
978-1-4244-4735-0
Electronic_ISBN :
978-0-7695-3872-3
DOI :
10.1109/ISDA.2009.43
