Hi myn, as far as I know there are not a lot of time series analyzing algorithms implemented in mahout.
To be concrete: There are no ARIMA algorithms for forecasting: http://en.wikipedia.org/wiki/Autoregressive_integrated_moving_average (you could use R: http://cran.r-project.org/web/packages/forecast/index.html) There is no fast fourier transformation: http://en.wikipedia.org/wiki/Fast_Fourier_transform (you could use R too: http://ugrad.stat.ubc.ca/R/library/stats/html/fft.html) (you could use Apache math commons: https://issues.apache.org/jira/browse/MATH-216) Actually there are hidden markov models: https://issues.apache.org/jira/browse/MAHOUT-396 On 05.12.2011, at 02:47, myn wrote: > does mahout contain this method? > or is there any other open soure projcet about this? You are invited to port these algorithms to the Mahout platform especially in a distributed manner. Keep in mind that paralyzing time series algorithms is still on going research: http://www.r-bloggers.com/functional-and-parallel-time-series-cross-validation/ http://www.fftw.org/parallel/parallel-fftw.html /Manuel -- Manuel Blechschmidt Dortustr. 57 14467 Potsdam Mobil: 0173/6322621 Twitter: http://twitter.com/Manuel_B
