  In today's instant communication era, mobile phones play an important role in
the efficient communication with respect to both individual and official
communication strata. With the drastic explosion in the quantity of calls
received and made, there is a need for analyses of patterns in these call logs
to assist the user of the mobile device in the optimal utilization. This paper
proposes a model termed "LogMin" (Log Mining of Calls in Mobile devices) which
is aimed towards mining of call log in mobile phones to discover patterns and
keep the user informed about the trends in the log. The logging of calls would
facilitate the user to get an insight into patterns based on the six different
parameters identified by the proposed LogMin model. The proposed model is
validated with a prototype implementation in the Android platform and various
experiments were conducted on it. The results of the experiments in the LogMin
Android implementation validate the efficiency of the proposed model with
respect to user's relevancy metric which is computed as 96.52%.
