• Sonuç bulunamadı

İNŞAAT SEKTÖRÜNDE VERİ MADENCİLİĞİ UYGULAMALARINA GENEL BAKIŞ VE EKONOMİK ETKİLERİNİN YORUMLANMASI

N/A
N/A
Protected

Academic year: 2022

Share "İNŞAAT SEKTÖRÜNDE VERİ MADENCİLİĞİ UYGULAMALARINA GENEL BAKIŞ VE EKONOMİK ETKİLERİNİN YORUMLANMASI"

Copied!
7
0
0

Yükleniyor.... (view fulltext now)

Tam metin

(1)

55

THE OVERVIEW OF DATA MINING APPLICATION ON CONSTRUCTION SECTOR AND INTERPRETATION OF ECONOMIC IMPACT

Yazar / Author: Abdull

i

Abstract

The construction sector is a dynamic sector needs to work with different and compelling a large number of stakeholders. This dynamism leads to the acquisition, use and management of a large number of data. The data mining is one of the branches that help to get useful data from the data stacks. Data Mining can be defined, including outnumber large amounts of information the data access to meaningful data as a business purpose. Especially in recent years, data mining applications has been among the relevance topics such as the construction sector installed on a discipline that involves the amount and volume data. From this perspective in this study, was examined the researches which interesting in this subject in the construction industry. The obtained findings are intended basis for the following studies. At the same time, data mining methods of the application economic contribution in the construction sector were overviewed brought to the business.

Key Words: Data mining, data stacks, construction firms, construction industry, construction economy.

, -

-

- - Anahtar Kelimeler:

-

(2)

56 Tekn

bulunmakta ve farkl

2.

Ver

bir anlamda, d (Dener vd., 2009).

bili

bilinmemesi durumunda ne kadar e

i.

ii.

iii.

(3)

57 iv.

v. Modelin takibi.

uygula

toplabilir. Bunlar:

i. ve Regresyon (Regression),

ii.

iii.

labilir.

3.

dair

4. Bulgular

4.1.

(4)

58 de

vd., 2002).

malzeme, e

2005).

Data Mining for Occupational Injuries in The Taiwan Construction Industry

- onucundaki

Applications of Artificial Intelligence and Data Mining Techniques in Soil ir (Javadi ve Rezania, 2009).

(5)

59

n

5.

B

5.1.

Literat

5.2.

(6)

60

a ise ekonomiklik gelmektedir.

Caldas C., Soibelman L., Han J., (2002). Automated Classification of Construction Project Documents., J. Comput. Civ. Eng., 16(4): 234-243.

AB 2014.

Javadi, A. A., Rezania, M., (2009). Applications of Artificial Intelligence and Data Mining Techniques in Soil Modeling. Geomechanics and Engineering, S&T Journals, Techno-Press, 1(1): 53-74).

Prediction by Using Data Mining Methods, Proceedings of the 4th World Conference on Learning, Teaching and Educational Leadership, Procedia - Social and Behavioral Sciences, 141: 1249 1253.

Bilimleri Enst

(7)

61

Liaoa C., W., Perng Y., H., (2008). Data Mining for Occupational Injuries in The Taiwan Construction Industry. Safety Science, 46(7): 1091-1012.

Minns A., W., (2000). Subsymbolic Methods for Data Mining in Hydraulic Engineering. Journal of Hydroinformatics, IWA Publishing.

Dergisi, 35:1.

Piramuthu S., (1998). Evaluating Feature Selection Methods For Learning in Data Mining Applications, Thirty-First Annual Hawai International Conference on System Sciences, IEEE Computer Society, Kohala Coast Hawaii USA, 294.

Wilmot C., G., Cheng P., E., (2003). Estimating Future Highway Construction Costs. J. Constr. Eng. Manage, 129 (3): 272-279.

Referanslar

Benzer Belgeler

COVID-19 birincil olarak metabolik bir hastalık olmadığını biliyoruz ancak bu hastalarda glikoz, lipid seviyeleri ve kan basıncının metabolik kontrolü

The major contribution of the paper can be stated as follows: In a neural network based learning task of distributed data, it is possible to obtain an accuracy almost as good as the

As far as the method and procedure of the present study is concerned, the present investigator conducted a critical, interpretative and evaluative scanning of the select original

(2014) approach was adopted in the spirit of Hwa (1988) stationarity test was conducted using Phillips-Peron unit root test, Johansen cointegration and Error Correction

As a result, explanatory power reached for the sample period supports the view that macroeconomic variables explain a significant part of the observed variations in economic

İki gün sonra Malatya’da, ondan sonra da İstanbul’da ailelerimiz için birer tören daha yaptık. Ne kadar da çabuk

afette leblebici lor alayının o loşlukta bir, es ra rlı dalgalanışlu:ı vardı ki, bu defa çiy ziya içnde ve cüm leşi ayrı kıyafette üç buçuk

Açılan vasiyetnamesinde tüm mal varlığının sekizde altısını yine Türk Hava Kuvvetlerini Güçlendirme Vakfı’na bıraktığı anlaşılan Avedis Efendi'nin cenaze