@InProceedings{Supelec877,
author = {Abolfazl Fatholahzadeh},
title = {{Ordered Segments for Classification of Big Data}},
year = {2013},
booktitle = {{ICMLA'13: The 12th International Conference on Machine Learning and Applications}},
pages = {268-272},
month = {December, 4-7},
address = {Miami, Florida, USA},
abstract = {This paper presents a new, simple, and efficient data structure,
namely, the \b{o}rdered \b{s}egment (OS): a mono dimensional
string array that we have been using in our classification of big
data.
The essential idea in construction of OS is to make use of the
redundancies that abound user-data.
OS enables us to performs efficient retrieval, insertions and
deletions of data.
The theoretical and experimental observations show that the
method presented is more practical than existing ones considering
the use of dynamic string sets for the classifications of huge
user-files.}
}