  With the advent of surveys generating multi-epoch photometry and their
discoveries of large numbers of variable stars, the classification of the
obtained times series has to be automated. We have developed a classification
algorithm for the periodic variable stars using a Bayesian classifier on a
Fourier decomposition of the light curve. This algorithm is applied to ASAS
(All Sky Automated Survey, Pojmanski 2000). In the case of ASAS, 85% of
variable objects are red giants. A remarkable relation between their period and
amplitude is found for a large fraction of those stars.
