QuantMiner v 1.0

Thanks for using QuantMiner!

QuantMiner is a Data Mining tool for mining Quantitative Association Rules that is taking into consideration numerical attributes in mining association rules. It exploits a recent and innovative research in mining quantitative association rules published in IJCAI 2007.

If you publish material based on QuantMiner, then, please note the use of QuantMiner and its url. This will help others to obtain the system and replicate your experiments. We suggest the following reference format for referring to this software:

Salleb-Aouissi, A. Vrain, C. Nortet, C. (2007). QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules. In the Proceedings of the 20th International Conference on Artificial Intel ligence IJCAI 2007, pp. 1035-1040. Hyberadad, India. [http://www1.ccls.columbia.edu/~ansaf/QuantMiner]

Here is the BiBTeX citation:

Here is a BiBTeX citation:

author = {Ansaf Salleb-Aouissi and
Christel Vrain and
Cyril Nortet},
title = {QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules}, booktitle = {IJCAI},
year = {2007},
pages = {1035-1040},
ee = {http://dli.iiit.ac.in/ijcai/IJCAI-2007/PDF/IJCAI07-167.pdf}

To know more about QuantMiner, we invite you to go over the following topics:

Some background...

Understanding Association Rules
Apriori, standard technique for mining association rules on categorical/boolean attributes
Genetic Algorithm, an innovative approach for mining quantitative association rules
An alternative techinque: Simulated annealing
Pre-loading of a set of rules

Generalities about QuantMiner

Starting window
Parameter setting
Formats for saving the rules generated by QuantMiner
Tool for browsing and analysing a set of rules

A 5-step wizard...

Choosing the attributes from the dataset(1/5)
Contribution of the attributes in the rules (2/5)
Choice and configuration of the mining technique (3/5)
Computing association rules (4/5)
Consult the results (5/5)


Iris Example