In this talk we will give an overview on time series mining. Particularly we will concentrate on classical problems in data mining such as clustering, supervised classification and outlier (anomaly) detection. For these problems we will emphazise the differences between working with time series or regular vectors. In addition to that, we will present new problems that appear in the area of data mining when working with time series and also point out the complexity of working with time series streams.