donturn + python   26

riivo/pwum - GitHub
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.
python  logs  analysis  web  analytics 
may 2011 by donturn
Orange - Data Mining Fruitful & Fun
the Orange app w/python & graphical dev interfaces for data mining & visualization looks nice #opensource
datamining  db  machinelearning  opensource  python  dev  viz  analysis  textmining 
february 2011 by donturn
pwytter - Project Hosting on Google Code
GUI client for twitter written in python
api  twitter  python 
january 2011 by donturn
Artificial Intelligence: A Modern Approach
includes instructor's resource page - wow, this would be a fun book to teach a course around
research  syllabi  academic  ai  lisp  python  programming  code  java  algorithm  book  cs  textbook  education  science  software  design  algorithms  intelligence 
december 2008 by donturn

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