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[Dbworld] Discovery of Temporal and Causal Rules: msg#00119

Subject: [Dbworld] Discovery of Temporal and Causal Rules
TimeSleuth 3.3 is a program for the discovery of temporal rules from
sequential data (such as weather data obtained every day or every 
hour). The user can extract rules that move backward or forward (or 
both) in time, thus making it easier to see temporal dependencies, 
and also distinguishing between causality and acausality. Its 
graphical interface offers different tools that help the user in 
determining temporal relationships among the variables.

 TimeSleuth is written in Java and can be run anywhere a Java runtime
environment and a graphical user interface such as Microsoft Windows or
XWindow is available. The package includes both source and executables, 
online help, and also example input files.

 To freely download TimeSleuth, please go to
http://www.cs.uregina.ca/~karimi/downloads.html


Kamran Karimi
karimi-bQFxJe/YwTA12NqfvmB9Mw@xxxxxxxxxxxxxxxx
http://www.cs.uregina.ca/~karimi
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