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"'Discovery of Multiple-Level Association Rules"
Hai ,
Basically I am a new comer to the mining field and I found that rapid miner is a good tool to do so. I learnt a lot from this forum how to mine same level data. As you people helped me to overcome my previous problems. Now I bit go further deep to mining. I am further looking to use rapidminer to study ‘mining multilevel association rules’
I need to ask some questions on behalf to understand the things.
I am going to use the paper “J. Han and Y. Fu, ''Discovery of Multiple-Level Association Rules from Large Databases'', In Proc. of 1995 Int. Conf. on Very Large Data Bases (VLDB'95)”
Are there already any algorithms implemented in rapidminer 4.3, or do we need to develop anything to implement the concept.
I need your kind reply
Thanks
Priyan
Basically I am a new comer to the mining field and I found that rapid miner is a good tool to do so. I learnt a lot from this forum how to mine same level data. As you people helped me to overcome my previous problems. Now I bit go further deep to mining. I am further looking to use rapidminer to study ‘mining multilevel association rules’
I need to ask some questions on behalf to understand the things.
I am going to use the paper “J. Han and Y. Fu, ''Discovery of Multiple-Level Association Rules from Large Databases'', In Proc. of 1995 Int. Conf. on Very Large Data Bases (VLDB'95)”
Are there already any algorithms implemented in rapidminer 4.3, or do we need to develop anything to implement the concept.
I need your kind reply
Thanks
Priyan
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Answers
the association rules operators in RapidMiner do currently not support concept hierarchies or multiple levels, sorry. As far as I know, there was a masters thesis where some RapidMiner operators for that were developed but I have no idea if those have been published or not. Does anybody knows more?
Cheers,
Ingo
Thanks for the information,
DO i have a possibility to implement the algorithm what they have mentioned in the paper in rapidminer according chapter 6 in the tutorial, Is that possible.
Regards
Priyan
Cheers,
Ingo