Mining delayed association rules between marginal rate of frequency changes

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rohian
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Mining delayed association rules between marginal rate of frequency changes

Good morning,

Hope this email find you well.

I am a graduate student in Computer Science Engineering pursuing a project in

"Mining delayed association rules between marginal rate of frequency changes".

I am looking for some advice and guidance to obtain some data and motivation. It seems you have

had experience with micro array dataset relating molecular structure, proteins, etc. and bioinformatics.

What my algorithm does is trying to find associations between changes in

frequency of several variables. I am trying to find a motivating

example and a real dataset to evaluate my algorithm.

What I require is some data that can be transformed to this form.

    V1  V2  V3  V4 ...         Vm

t1   0     1    0     1        1

t2   1     0    0     0        0

t3   1     0    1     1        1

t4   1     0    1     1        1

.

.

.

tn   0    1     1     1        1

where we have m variables and data over n times with equal time

interval between any two times. The binary values 0, 1 can be

intensity of some variables e.g. a multivalued categorical numerical

data i.e. [1-5] etc.

What I am trying to find is how the delayed marginal frequency changes

in one variable affect the changes in another variable. I am looking for significant changes and

trying to find association among these changes.

I would really appreicate any support or guidance you can provide in this regard.

You can contact me at
rohian@cse.yorku.ca

Many thanks in advance,

Hashmat Rohian