It is possible, but what are you trying to get out of the analysis? --------- Matt Taylor OS Community Flag-Bearer Numenta
On Tue, Mar 10, 2015 at 10:23 AM, Manal Bhingardeve <[email protected]> wrote: > Will NuPIC produce some results for those users with >500 check-ins? which > is about 25 per month. > > On Tue, Mar 10, 2015 at 9:53 PM, Matthew Taylor <[email protected]> wrote: >> >> 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 >> >> >> > >> >
