• Laxmi Kumari
• Dr. Deepika Punj

Data Mining is the process of cultivating and analysing enormous sets of data and extracting the meaningful data from them. In simple words, data mining is the process of mining knowledge from the data. The two main functions of data mining include descriptive function and classification and prediction. Descriptive function deals with the general properties of data in database. Classification and prediction includes discovering a model that narrates the data classes and then using this model to predict the class of object whose label is unknown respectively. This paper presents a survey of available literature of different data mining techniques employed by various researchers to predict the weather condition. The work of different researchers has been reviewed and represented in tabular form. The decision tree and K-mean clustering is found out to be best suited for this application.

"Data Mining Techniques for Weather forecasting and Climate Change Prediction System: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.191-193, April-2019, Available :http://www.jetir.org/papers/JETIR1904M30.pdf

"Data Mining Techniques for Weather forecasting and Climate Change Prediction System: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp191-193, April-2019, Available at : http://www.jetir.org/papers/JETIR1904M30.pdf