APPLYING DATA MINING FOR FINDING PATTERNS FROM SPATIO TEMPORAL TEXT QUERY DATA

Abstract

As the use of sensor network, GPS, and telecommunication technology increased, the availability of spatio-temporal data is also increasing exponentially. The use of these technologies also increased in the eld of agriculture, which motivates to do data mining analysis of this data. For this work, we have selected farmers query data. In this work, we have experimented various data mining techniques to generate valuable insights from the data which can help in making policies. First, we have clustered the states of India. In the subsequent experiments we have successfully clustered the blocks and districts of India based on feature vector generated by combination of Crop and Query type. In the starting we have clustered based on month-wise data. But as in Agriculture similarity we measure tine in season, so in the next experiment we have used the season wise data for two season of India i.e. Kharif & Rabi. And in the end we found the co-occurring problems for various states in various months