  'There is no terror in the bang, only is the anticipation of it' - Alfred
Hitchcock.
  Yet there is everything in correctly anticipating the bang a movie would make
in the box-office. Movies make a high profile, billion dollar industry and
prediction of movie revenue can be very lucrative. Predicted revenues can be
used for planning both the production and distribution stages. For example,
projected gross revenue can be used to plan the remuneration of the actors and
crew members as well as other parts of the budget [1].
  Success or failure of a movie can depend on many factors: star-power, release
date, budget, MPAA (Motion Picture Association of America) rating, plot and the
highly unpredictable human reactions. The enormity of the number of exogenous
variables makes manual revenue prediction process extremely difficult. However,
in the era of computer and data sciences, volumes of data can be efficiently
processed and modelled. Hence the tough job of predicting gross revenue of a
movie can be simplified with the help of modern computing power and the
historical data available as movie databases [2].
