Using Mining and Intelligent Approach for Time Series Forecasting Problems

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
In today's real time economic environment, there is ample opportunity to clout the numerous sources of time series data available for decision making. This time ordered data can be used to improve business profit if the data is converted to information and then into knowledge which is called knowledge discovery. Most challenging business processes like trading in retail, financial markets, weather changing data, etc. during their course of activity mount up large databases of time-ordered observations and these data can be presented as time series. There is significant value in the interdisciplinary notion of data mining for forecasting when used to solve time series problems.
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