Hi Matt, I would like to get indications of anomalous behaviour. The patterns should be isolated to each person. The data consists of check-ins of users over the period of Feb. 2009 - Oct. 2010 These are some details about the data. 107092 : users 6442892 : check-ins 60.162215665 : average check-ins no of users : no of check-ins greater than 17 : >2000 244 : >1500 475 : >1000 1488 : >500
Thanks, Manal On Tue, Mar 10, 2015 at 3:48 AM, Matthew Taylor <[email protected]> wrote: > Manal, > > Some questions... > > 1. What would you like to get out of NuPIC? Predictions of future > checkins? Indictions of anomalous behavior? > 2. Should detected patterns be isolated to each person or detected > from the population as a whole? > 3. How often do checkins occur? > 4. How much past data is available (for training)? > > --------- > Matt Taylor > OS Community Flag-Bearer > Numenta > > > On Mon, Mar 9, 2015 at 2:44 PM, Manal Bhingardeve > <[email protected]> wrote: > > Hi, > > > > I wanted to use CLA to find patterns in user check-ins for location based > > services. > > The data consists of check-in details for multiple users with the > following > > fields user_id, check-in time, latitude, longitude, location id. > > Would the CLA be suited for this kind of an application and if so, could > I > > get some help with the swarming process, more specifically as to how the > > geospatial encoder could be used. > > > > Thanks, > > Manal > >
