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Rory Lewis PhD JD





Knowledge

Rory Lewis

Knowledge is a beautiful and humbling phenomena.

This page is your portal to tools, tutorials, tips, faqs and all things helpful to understanding logical.I have laid out knowledge much in teh same way that man has dealt with logic through history. Historically, logic starts with philosophy which lead into logic, predicate Caluls, mathematics, datamining and knowledge Discovery.


Tutorials and Screencasts

WEKA Tutorials

Predicate Calculus Primer

 

Tools for everybody


Download Essential Knowledge Discovery Tools

Rory Lewis

Weka was developed in 1993 at the University of Waikato in New Zealand by Dr. Ian Witten who I've had the pleasure to spend some time when I presented my paper at ACM Toronto (see pics here). Weka is an incredible, ree, popular suite ofmachine learning software that includes KDD visualization tools, data analysis algorithmsand predictive modeling.

Rory Lewis

Orange was developed at the University of Ljubljana. by Dr. Ivan Bratko who I've had the pleasure to spend some time when I presented my paper at ISMIS 2006, Bari, Italy (see pics here). Orange is an open source data visualization and analysis system for novice and experts using using KDD tools with visual or Python programming.

Rory Lewis

TunedIT was started by Marcin Wojnarski at the beginning of 2008, as a PhD project carried out at University of Warsaw, Faculty of Mathematics, Informatics and Mechanics, in cooperation with the Group of Mathematical Logic led by Professor Andrzej Skowron. I work with Professor Skowron (see pics here) and I met Marcin and we became friends when we presented papers at IIS '2009 in Krakow, Poland, (see pics here). TunedIT enables automation of data mining experiments and generation of reproducible results that can be easily shared with others and verified.

Rory Lewis

RSES is supervised by Professor Andrzej Skowron whom I work with (see pics here)RSESlib is a library of functions for performing various data exploration tasks such as cCalculation of reducts. generation of decision rules with use of reducts, discretization of numerical attributes, decomposition of large data into parts that share the same properties and other KDD tools.