Association mining of Time Series Dependency.

Data Mining is the process of discovering potentially valuable patterns, associations, trends, sequences and dependencies in data. Data mining techniques can discover information that many traditional business analysis and statistical techniques fail to deliver. In this paper, we present a new algorithm to mine dependency between time series data. We use discretization to segment time series to a number of shapes, we classify these shapes to a pre-defined shape classes in order to generate association rules using genetic algorithm