NOESIS: A Framework for Complex Network Data Analysis
Joint Authors
Martínez, Víctor
Berzal, Fernando
Cubero, Juan-Carlos
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-31
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Network data mining has attracted a lot of attention since a large number of real-world problems have to deal with complex network data.
In this paper, we present NOESIS, an open-source framework for network-based data mining.
NOESIS features a large number of techniques and methods for the analysis of structural network properties, network visualization, community detection, link scoring, and link prediction.
The proposed framework has been designed following solid design principles and exploits parallel computing using structured parallel programming.
NOESIS also provides a stand-alone graphical user interface allowing the use of advanced software analysis techniques to users without prior programming experience.
This framework is available under a BSD open-source software license.
American Psychological Association (APA)
Martínez, Víctor& Berzal, Fernando& Cubero, Juan-Carlos. 2019. NOESIS: A Framework for Complex Network Data Analysis. Complexity،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1131010
Modern Language Association (MLA)
Martínez, Víctor…[et al.]. NOESIS: A Framework for Complex Network Data Analysis. Complexity No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1131010
American Medical Association (AMA)
Martínez, Víctor& Berzal, Fernando& Cubero, Juan-Carlos. NOESIS: A Framework for Complex Network Data Analysis. Complexity. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1131010
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131010