Impact of Data Mining in Drought Monitoring

This paper focuses on association rule mining and decision tree classification in the rainfall and temperature data. The authors have used Apriori association rule mining algorithm with data mining tool WEKA. They have to try to generate Association rules and decision tree model. Data mining is the process of discovering actionable and meaningful patterns, profiles and trends by sifting through data using pattern recognition technologies such as neural networks and machine learning and genetic algorithms. They also mentions that data mining tools perform data analysis and may uncover important data patterns, contributing greatly to business strategies, knowledge bases, and scientific, social and medical research.

Provided by: International Journal of Computer Science Issues Topic: Big Data Date Added: Nov 2011 Format: PDF

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