Mining Assorted Periodic Patterns In time Series Database

Time series is a collection of data values which is gathered at uniform intervals of time to reflect certain behavior of an object. Time series has three types of periodic patterns which are Symbol periodicity, Sequence periodicity, Segment periodicity (S.S.S). Mining periodic pattern has number of applications such as prediction and forecasting. Users use time series data base mining in super stores, network delays, power consumption. The data which they observe in the periodic patterns may contain noise.

Provided by: The International Journal of Innovative Research in Computer and Communication Engineering Topic: Data Management Date Added: Feb 2014 Format: PDF

Find By Topic