Similarity Search in Time Series Data Using Time Weighted Slopes

Similarity search in time series data is an area of active interest in the data mining community. In this paper we introduce a novel approach for performing similarity search in time series data. This technique is based on the intuition that similar time sequences will have similar variations in their slopes and consequently in their time weighted slopes. The proposed technique is capable of handling variable length queries and also works irrespective of different baselines and scaling factors. Povzetek: Opisana je nova metoda rudarjenja podatkov časovnih vrst z iskanjem podobnosti.