A Study of Components and Benefits of Organic Waste using Decision Tree: A Classifier in Data Mining

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Savita Mohurle, Manisha Patil

Abstract

Population in India has been growing at a rapid rate. With this increase, there has also been an increase in the amount of wastes being produced especially in the urban cities. Increase in population has led to increase in waste material. Sources of waste are various, generated from industries, agriculture and domestic, but waste management’s schemes are few and improper. Domestic waste is the one generated in huge amount. There are waste management scheme being used by government and non – government organization to properly dispose and manage waste. Due to increase in habitat in various geographic areas and due to mismanagement of people living in a particular geographic area- people throw waste material anywhere they wish in and around they live. This effect the environment like surface water gets contaminated, soil gets contaminated, pollution increases, leachate occurs,etc. all these creates adverse effect on the human being and ecosystem. This paper gives a brief study of the components organic waste and its benefits on human begins and ecosystem by using decision tree classifier of datamining.

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How to Cite
, S. M. M. P. (2017). A Study of Components and Benefits of Organic Waste using Decision Tree: A Classifier in Data Mining. International Journal on Recent and Innovation Trends in Computing and Communication, 5(6), 42 –. https://doi.org/10.17762/ijritcc.v5i6.716
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