The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
Transactions ID Number: 19-923
Full Name: Bahar Bulut
Position: Assistant Professor
Age: ON
Sex: Female
Address: Selcuk University Technical Education Faculty Department of Electronic and Computer Systems Education Konya
Country: TURKEY
Tel: +905053593965
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E-mail address: bbulut@selcuk.edu.tr
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Title of the Paper: a residential real-estate valuation model with reduced attributes
Authors as they appear in the Paper: Bahar Bulut, Novruz Allahverdi, Humar Kahramanli, Sukran Yalpir
Email addresses of all the authors: bbulut@selcuk.edu.tr,noval@selcuk.edu.tr,hkahramanli@selcuk.edu.tr,sarici@selcuk.edu.tr
Number of paper pages: 8
Abstract: Prediction of real-estate prices by using its properties together is called as real-estate valuation. However, to predict approximate rate will be very complex problem. Since, every real-estate has many different features due to the location and the usage of it. Though, it is possible to find estimated values instead of exact values. In this paper, effects of attribute reducing on real-estate valuation were investigated. Real-estate data which were collected from Konya region were used to test the success of method. Attribute reducing has been applied to data. For this purpose correlation was used. Two data sets were created: First data set was created with all attributes and second data set was created with reduced attributes. 10 fold cross validation has been used for evaluation. Multiple regression analysis (MRA) was used for modeling. Statistical calculations showed that the prediction success of method which was created with reduced attributes is higher than t!
he prediction success of method which was created with all attributes.
Keywords: Attribute reducing, Correlation, Cross-validation, Multiple regression analysis, and Real-estate valuation.
EXTENSION of the file: .doc
Special (Invited) Session: Effects of Attribute Reducing on Real-Estate Valuation
Organizer of the Session: 202-273
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