Commit 617f9a34 authored by DAUXAIS Yann's avatar DAUXAIS Yann

add discriminant episode mining in README

parent a9db2c6a
......@@ -11,8 +11,8 @@ The extraction is done from set of temporal sequences.
- **Discriminant chronicle mining**: The main purpose of DCM is to extract
discriminant chronicles from a positive dataset in comparison to a negative dataset.
A chronicle will be considered discriminant if its support in the positive dataset
is greater than $g_{min}$ times its support in the negative dataset.
The parameter $g_{min}$ has to be defined by the user before the run.
is greater than \[g_{min}\] times its support in the negative dataset.
The parameter \[g_{min}\] has to be defined by the user before the run.
The implementation of this task in DCM is not complete as it will not extract
the whole set of discriminant chronicles.
This task has been detailed in
......@@ -130,6 +130,8 @@ first and the second occurrences of `qrs[abnormal]`. The temporal interval is de
`"qrs[abnormal]" [686, 881] "qrs[abnormal]"`.
Finally, `f:125/20` corresponds to a positive support of 125 and a negative support of 20.
### Discriminant episodes
The discriminant episodes extracted with the `-e` option are represented like the chronicles.
For example, the command line `./bin/DCM examples/BIDE-D/blocks/stack.dat -d examples/BIDE-D/blocks/unstack.dat -f 0.9 -g 2 -e --maxcs 3` will produce episodes such that:
......
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