Time series data mining: similarity search and its application to the stock indices in the region

Data mining is a process of discovering potentially useful patterns, associations, trends, sequences and dependencies in data. In recent years, in data mining community, there has been a significant increase of attention and a shift of focus to mining of temporal data and application of data mining Methods. in the analysis of time series. An important aspect of mining time series data refers to the identification of similar time series, stored in databases and data warehouses. Accordingly, in this Paper, the problem of similarity search in function of finding and revealing the hidden patterns in time series, is presented. In addition, the empirical results regarding the similarity search of financial time series (daily indices of stock exchanges in this region), are also presented.