Publication detail
Rapidminer image processing extension: A platform for collaborative research
BURGET, R. KARÁSEK, J. SMÉKAL, Z. UHER, V. DOSTÁL, O.
Original Title
Rapidminer image processing extension: A platform for collaborative research
English Title
Rapidminer image processing extension: A platform for collaborative research
Type
conference paper
Language
en
Original Abstract
RapidMiner is today one of the most widely used data mining and predictive analysis solutions world-wide. This paper introduces an image processing extension for RapidMiner and a presents the basic concepts and ideas about this extension. This paper also presents some feature extraction operators and individual operations used in extension. The use of the proposed extension was demonstrated on the real-world problem - identification of an area of interest in mammograms and also other two applications are mentioned. The code is provided freely with an open source license in hope, it can be applied for a collaborative research work in the area of data mining.
English abstract
RapidMiner is today one of the most widely used data mining and predictive analysis solutions world-wide. This paper introduces an image processing extension for RapidMiner and a presents the basic concepts and ideas about this extension. This paper also presents some feature extraction operators and individual operations used in extension. The use of the proposed extension was demonstrated on the real-world problem - identification of an area of interest in mammograms and also other two applications are mentioned. The code is provided freely with an open source license in hope, it can be applied for a collaborative research work in the area of data mining.
Keywords
data mining, image processing, research, RapidMiner, open-source
RIV year
2010
Released
10.08.2010
ISBN
978-963-88981-0-4
Book
The 33rd International Conference on Telecommunication and Signal Processing, TSP 2010
Pages from
114
Pages to
118
Pages count
509
Documents
BibTex
@inproceedings{BUT34510,
author="Radim {Burget} and Jan {Karásek} and Zdeněk {Smékal} and Václav {Uher} and Otto {Dostál}",
title="Rapidminer image processing extension: A platform for collaborative research",
annote="RapidMiner is today one of the most widely used data mining and predictive analysis solutions world-wide. This paper introduces an image processing extension for RapidMiner and a presents the basic concepts and ideas about this extension. This paper also presents some feature extraction operators and individual operations used in extension. The use of the proposed extension was demonstrated on the real-world problem - identification of an area of interest in mammograms and also other two applications are mentioned. The code is provided freely with an open source license in hope, it can be applied for a collaborative research work in the area of data mining.",
booktitle="The 33rd International Conference on Telecommunication and Signal Processing, TSP 2010",
chapter="34510",
howpublished="online",
year="2010",
month="august",
pages="114--118",
type="conference paper"
}