An Application of Markov Chain for Predicting Rainfall Data at West Java using Data Mining Approach

Markov chain model is a stochastic process to determine the transition probability of a state space based on a previous state. We can use a stationary distribution of first order-Markov chain model to determine the long terms probability rainfall phenomena. A rainfall data in West Java area has a big data because we can have a large rainfall data from many cities and regencies both of in spatial and time series observations. Furthermore, in this...