Paslanmaz Çeli̇k Sektörü Satiş Tahmi̇ni̇nde Veri̇ Madenci̇li̇ği̇ Yöntemleri̇ni̇n Karşilaştirilmasi

Ecemiş, Orhan; Irmak, Sezgin

doi:10.31834/kilissbd.395317

Cited by 4 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Data mining methods generally focus on planning and decision making processes such as marketing strategies, and cost estimations. Data mining models can be divided into two categories: one of them is a descriptive model that provides explanatory information about the data set and the other one is a predictive model that tries to estimate the value of the dependent variable in accordance with a target (Ecemiş and Irmak 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Carbon footprint forecasting using time series data mining methods: the case of Turkey

Akyol

Uçar

2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

In the globalizing world, many factors such as rapidly increasing population, production and consumption habits, and economic growth cause climate changes. The carbon footprint is a measure of CO 2 emissions released into the atmosphere, which increases day by day, causing glaciers to melt and increase sea level, reduce water resources, and global warming. For Turkey, as a country trying to complete its economic development, signed international agreements such as the Paris Climate Agreement and Kyoto Protocol to reduce the carbon footprint give great importance to the studies estimating carbon footprint and making policies to reduce it. For this reason, in this study it is aimed to estimate the greenhouse gas emissions of Turkey in the year 2030 and to determine its damages to the economy. Time series forecasting algorithm in the WEKA data mining software was used for analysis, and population, gross domestic product, energy production, and energy consumption were used as independent variables. As a result of analysis using data from the years 1990–2017, as long as Turkey continues its course of gradually increasing the amount of current greenhouse gas emissions in the year 2030, 728.3016 metric tons of CO 2 equivalent will be reached. It appears that these estimates remain below the rate of Turkey’s commitments at the Paris Climate Agreement that is considered to be promising for Turkey. However, the estimations in other studies should not be ignored; policy makers should determine policies accordingly.

show abstract

Section: Introductionmentioning

confidence: 99%

Carbon footprint forecasting using time series data mining methods: the case of Turkey

Akyol

Uçar

2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…WEKA software was used to model the data. As a result of the estimation of the sales values calculated by data mining methods, it was decided that the Support Vector Regression method was more successful [11].…”

Section: Literature Reviewmentioning

confidence: 99%

Risk Perception and Data Mining in the Iron and Steel Industry

Ersöz

Bulut

2021

International Journal of 3D Printing Technologies and Digital Industry

View full text Add to dashboard Cite

Risk is the possibility of threat, that is, potential harm. There may be risks like price fluctuations, exchange rate changes, demand and request changes, and inaccessibility of the material for an enterprise. The biggest mistake is to consider the risk as a possibly harmful circumstance that should only be avoided. When the risk is successfully managed, it empowers the formation of exceptionally imperative vital steps for businesses. Businesses have to show serious patterns to understand, anticipate, prevent, reduce and manage risk correctly and avoid the conceivable loss of life and property. A culture of trust is created in companies that understand the risk correctly and manages it with the right steps. The culture of trust prevents workers from getting distracted, as well as enabling workers to embrace the job and do their job lovingly. Thus, productivity increases in the long run. The purpose of this study is to determine the risk perception of the employees of a firm operating in the iron and steel industry. Possible risks are always high as the enterprise operates as a heavy industry. The questionnaire applied to the employees consists of two parts. The first part consists of demographic features, and the second part consists of questions regarding employees' perceptions of risk. According to the findings which will be obtained with the help of the research, the effect levels of the demographic characteristics of the employees on the employees will be determined and improved findings will be presented to the business management. According to the socio -demographic status of the employees in the enterprise, it is pointed to uncover the risk discernment levels by cluster analysis.

show abstract

Applications of Artificial Intelligence in Inventory Management: A Systematic Review of the Literature

Albayrak

Erkayman

USANMAZ

2023

Arch Computat Methods Eng

View full text Add to dashboard Cite

Paslanmaz Çeli̇k Sektörü Satiş Tahmi̇ni̇nde Veri̇ Madenci̇li̇ği̇ Yöntemleri̇ni̇n Karşilaştirilmasi

Cited by 4 publications

References 11 publications

Carbon footprint forecasting using time series data mining methods: the case of Turkey

Carbon footprint forecasting using time series data mining methods: the case of Turkey

Risk Perception and Data Mining in the Iron and Steel Industry

Applications of Artificial Intelligence in Inventory Management: A Systematic Review of the Literature

Contact Info

Product

Resources

About