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Temporal/Causal rule generation, and more   Message List  
Reply | Forward Message #1079 of 1123 |
Hi everybody,

To people interested in discovering temporal/causal relations, or in
extracting classification rules from sequential data, or in generating
Prolog statements for automatic programme generation from observed patterns, I
recommend trying TimeSleuth version 2.5. As input it accepts sequences of
records, generated in a temporal or spatial order, and investigates whether
there is a relation among the fields, not only in a single record, but also
among many records. For example, it can detect if the value of a decision
attribute is determined by the condition attributes in previous,
next, or both previous and next, records.

With TimeSleuth time can move in either forward or backward (or both)
directions. This property is used to distinguish between causal and acausal
relations.

The TimeSleuth package includes executables for any platform with a Java
virtual machine, sources in Java, online help, example datasets, and
modified C4.5 sources (plus executables for Windows). It is availabe freely
from http://www.cs.uregina.ca/~karimi/downloads.html.

If you have any questions, bug reports, or comments, please contact me at
karimi@....

Kamran Karimi

karimi@...
http://www.cs.uregina.ca/~karimi




Thu Dec 18, 2003 6:30 pm

karimi@...
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Message #1079 of 1123 |
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Hi everybody, To people interested in discovering temporal/causal relations, or in extracting classification rules from sequential data, or in generating ...
Kamran Karimi
karimi@...
Send Email
Dec 18, 2003
6:30 pm
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