pwum is a set of python scripts for working with web log files and extracting frequent patterns and clustering sessions.

Two main functions:

Finding frequent patters. Extract frequently co-accessed pages in web sessions. Uses traditonal frequent pattern mining algorithm Apriori. For more information on the implementation, please see here

Finding similar sessions based on behaviour,i.e, visited pages by clustering. Available methods are based on building Markov chain like transition matrix out of session and clustering these or representing sessions as simple feature vectors. Clustering currently done by k-means algorithm.

extract google analytics data for extra analysis on your own (in Excel, python, etc)

Chart Chooser lets you pick what you're trying to present & get powerpoint and excel templates #data

looks a lot like excel. but in the cloud? but with bigger data sets?

iAds opt-out for iOS 4 devices (doesn’t remove ads, but stops tracking?) #mobile #analytics #privacy

Stanford has a certificate program focusing on stats and analytics.

data collection, but murky methodology

real time blog analytics with chat functionality too.

davenport

broder, citesme

Detlor's new textbook, looks great!

Great idea.

windows and linux