Review on time series databases and recent research trends in Time Series Mining

Time series databases consist of sequences of values that are calculated or retrieved at regular intervals of time. The values or the events are measured at equal intervals of time (hourly, weekly, yearly etc). Time series data is very large in size having high dimensionality and is updated at regular intervals of time. Mining of the time series data is considered as an important analysis approach in large number of application areas like medicine, fraud detection, stock market etc. There has been a huge amount of research going in the field of time series data mining.