Title
X-SDR: an extensible experimentation suite for dimensionality reduction
Abstract
Due to the vast amount and pace of high-dimensional data production, dimensionality reduction emerges as an important requirement in many application areas. In this paper, we introduce X-SDR, a prototype designed specifically for the deployment and assessment of dimensionality reduction techniques. X-SDR is an integrated environment for dimensionality reduction and knowledge discovery that can be effectively used in the data mining process. In the current version, it supports communication with different database management systems and integrates a wealth of dimensionality reduction algorithms both distributed and centralized. Additionally, it interacts with Weka thus enabling the exploitation of the data mining algorithms therein. Finally, X-SDR provides an API that enables the integration and evaluation of any dimensionality reduction algorithm.
Year
DOI
Venue
2010
10.1007/978-3-642-15939-8_43
ECML/PKDD (3)
Keywords
Field
DocType
data mining,dimensionality reduction technique,dimensionality reduction algorithm,different database management system,data mining process,extensible experimentation suite,application area,high-dimensional data production,current version,important requirement,dimensionality reduction,high dimensional data,knowledge discovery,database management system
Data mining,Pace,Dimensionality reduction,Software deployment,Suite,Computer science,Knowledge extraction,Artificial intelligence,Data mining algorithm,Extensibility,Machine learning
Conference
Volume
ISSN
ISBN
6323
0302-9743
3-642-15938-9
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Panagis Magdalinos1355.55
Anastasios Kapernekas200.34
Alexandros Mpiratsis300.34
Michalis Vazirgiannis43942268.00