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this paper, a pattern-based stock data mining approach which transforms the numeric stock data to symbolic sequences, carries out sequential and non-sequential association analysis and uses the mined rules in classifying/predicting the further price movements is proposed. Two formulations of the problem are considered. They are intra-stock mining which(More)
is one of the fundamental components in time series data mining. One of the uses of the time series segmentation is trend analysis-to segment the time series into primitive trends like uptrend and downtrend. In this paper, a time series segmentation method based on a specialized binary tree representation scheme is proposed; this representation scheme is(More)