DATA MINING AND ANALYSIS OF THE CITIZENS’ BEHAVIOR TOWARDS THE SOURCE SEPARATION OF WASTE PROJECT BY APPLYING C4.5 ALGORITHM OF DECISION TREE

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KOHANSAL MOHAMMD REZA; FIROOZZARE ALI; Baradarani Mohammad Mehdi

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Journal: Journal of Geography and Regional Development Year:2015 | Volume:13 | Issue:1 (24) Page(s): 31-33

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Title

DATA MINING AND ANALYSIS OF THE CITIZENS’ BEHAVIOR TOWARDS THE SOURCE SEPARATION OF WASTE PROJECT BY APPLYING C4.5 ALGORITHM OF DECISION TREE

Author(s)

KOHANSAL MOHAMMD REZA | FIROOZZARE ALI | Baradarani Mohammad Mehdi | Issue Writer Certificate

Keywords

DATA MININGQ1

DECISION TREEQ2

C4.5 ALGORITHMQ2

SOURCE SEPARATION OF WASTEQ2

Abstract

Nowadays, in the developing and some developed countries the source separation of the waste project is conducted intensively because of the shortage of keeping abnormal waste places and landfills along with the economic considerations. Hence, the recycling and conversion material organizations of municipalities have done some projects which resulted in increasing the participation of families in the separation of valuable waste. Investigation of the current state of dry waste source separation schemes in Mashhad shows that, currently, about six projects in the field of SOURCE SEPARATION OF WASTE are executing in Mashhad. It is clear that the success or failure of these kinds of projects depends on the amount of citizens attendance and their participation in these projects; therefore, taking the importance of social, environmental, and economic aspects into consideration along with its special role in the urban development issues, it is necessary to detect the behavioral algorithms of citizens in terms of their assistance for the source waste separation project. As a result, it would be possible to determine the most important variables influencing the citizens’ behavior in this field and to enhance the possibility of adopting the targeted policies in order to improve the citizens’ assistance level for the source separation of the waste project as well as increasing the level of the cost efficiency of the adopted policies.

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APA: Copy

KOHANSAL, MOHAMMD REZA, FIROOZZARE, ALI, & Baradarani, Mohammad Mehdi. (2015). DATA MINING AND ANALYSIS OF THE CITIZENS’ BEHAVIOR TOWARDS THE SOURCE SEPARATION OF WASTE PROJECT BY APPLYING C4.5 ALGORITHM OF DECISION TREE. JOURNAL OF GEOGRAPHY AND REGIONAL DEVELOPMENT, 13(1 (24)), 31-33. SID. https://sid.ir/paper/356731/en

Vancouver: Copy

KOHANSAL MOHAMMD REZA, FIROOZZARE ALI, Baradarani Mohammad Mehdi. DATA MINING AND ANALYSIS OF THE CITIZENS’ BEHAVIOR TOWARDS THE SOURCE SEPARATION OF WASTE PROJECT BY APPLYING C4.5 ALGORITHM OF DECISION TREE. JOURNAL OF GEOGRAPHY AND REGIONAL DEVELOPMENT[Internet]. 2015;13(1 (24)):31-33. Available from: https://sid.ir/paper/356731/en

IEEE: Copy

MOHAMMD REZA KOHANSAL, ALI FIROOZZARE, and Mohammad Mehdi Baradarani, “DATA MINING AND ANALYSIS OF THE CITIZENS’ BEHAVIOR TOWARDS THE SOURCE SEPARATION OF WASTE PROJECT BY APPLYING C4.5 ALGORITHM OF DECISION TREE,” JOURNAL OF GEOGRAPHY AND REGIONAL DEVELOPMENT, vol. 13, no. 1 (24), pp. 31–33, 2015, [Online]. Available: https://sid.ir/paper/356731/en

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