Abstract: A recent-biased pattern matching algorithm for time series is proposed.By defining a recent-biased distance and applying tilted-time window Haar wavelet representation for time series data,the recent-biased patterns in a time series can be queried efficiently without false dismissals.Theoretical analysis and experimental results validate the effectiveness of the proposed algorithm.