I need to propose a project for a data mining class. Given my favorite "hobby," I'd like to work with the DOT airline data sets on (domestic) ticket sales and on-time performance, and use them to predict some feature of air travel. My first two ideas were:

1. Predict number of unsold F seats -- probably can't be done with the available data.
2. Predict on-time performance for flights/city pairs -- already done by FlightCaster.

Any other ideas? The data are the following:

- Ticket data: for 10% of all domestic itineraries, includes origin/destination/connecting cities, ticketing/operating carriers, fare, class, distance, number of pax.

- On-time data: date, carrier, tail number, flight number, origin/destination, scheduled/actual arrival/departure times, actual wheels up/down and taxi times, delay reason, diversion/cancellation info.

The ticket data has *no* information about purchase date or flight date (other than which quarter the flight was in), and no info about domestic flights connecting to/from international flights.