@InProceedings{Supelec876,
author = {Abolfazl Fatholahzadeh},
title = {{Heuristic for Finding the Tuning Number in Data Mining}},
year = {2011},
booktitle = {{ICAI'11: THE 2011 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE}},
volume = {1},
pages = {914-917},
month = {July, 18-21},
address = {Las Vegas, Nevada, USA},
url = {http://citeseerx.ist.psu.edu/viewdoc/download\'erep=rep1\&type=pdf\&doi=10.1.1.218.997},
isbn = {1-60132-183-X, 1-60132-18},
abstract = {While faster and faster algorithms have been presented
for finding frequent patterns, but, the memory issue
is almost always neglected. To study this problem, this paper
presents our heuristic that maps the input data set onto a
smaller
one. The essential idea is to determine the right choice of the
tuning number by the reward measure introduced in this work.
The tuning number helps us to find the maximal number of
repeats in the input data set. Experiments done on several large
data sets show the benefit of our method in data mining.}
}