What do you mean by time series data give an example in data mining?

Time series forecasting is process of using a model to generate prediction for future event based on past events. For many years forecasting stock return, Among them data mining technique have been successfully shown to generate high forscating stock price movement .

The exponential smoothing method is used to predict the short term predication. Alpha, Gamma, Phi, and Delta are the parameters that estimate the effect of the time series data. Alpha is used when seasonality is not present in data. Gamma is used when a series has a trend in data.

Time series analysis is a method used for analysing time series data in order to extract meaningful statistical information from the data . Time series forecasting however, is all about predicting future values based on previously observed values over time.

Most commonly, a time series is a sequence taken at successive equally spaced points in time . Thus it is a sequence of discrete-time data. Examples of time series are heights of ocean tides, counts of sunspots, and the daily closing value of the Dow Jones Industrial Average.

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