like pregel

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.

the Orange app w/python & graphical dev interfaces for data mining & visualization looks nice #opensource

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

Google Refine looks like a great tool for cleaning & transforming messy data for use w/web services

for r

reuters

mmm. statistics.

if only

real time blog analytics with chat functionality too.

davenport

broder, citesme

The whole enchilada.

Great idea.

C code lib for statistical text analysis

Macintosh download page for R, the stat app. From r-project.org.

looks interesting with graphical overlays for hosted pages.