Ok, so I'm assuming a bit here, but... 107092 users with 6442892 total checkins over the course of (about) 20 months.... then the average checkings per user per years is (6442892/107092) / 20 = 3 checkins per month.
If you want to analyze users individually with only 3 checkings per month, that is not a very fast stream of data. I'm not sure you're going to get anything out of it with NuPIC. However, if you wanted to try to analyze population trends in the complete data set over time, it might be worthwhile to try with over 300K total checkins per month, but you wouldn't be able to get any analysis out of it for individual users. Perhaps you could group the users by geographic location to increase the number of data points in a model if you aren't interested in complete population analysis? --------- Matt Taylor OS Community Flag-Bearer Numenta On Tue, Mar 10, 2015 at 7:26 AM, Manal Bhingardeve <[email protected]> wrote: > 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 >> >
