NOESIS: A Framework for Complex Network Data Analysis
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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/1439415 |
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| _version_ | 1832548449760837632 |
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| author | Víctor Martínez Fernando Berzal Juan-Carlos Cubero |
| author_facet | Víctor Martínez Fernando Berzal Juan-Carlos Cubero |
| author_sort | Víctor Martínez |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2259f2b570e94515b6116e7b34d4961f |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-2259f2b570e94515b6116e7b34d4961f2025-02-03T06:13:56ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/14394151439415NOESIS: A Framework for Complex Network Data AnalysisVíctor Martínez0Fernando Berzal1Juan-Carlos Cubero2Department of Computer Science and Artificial Intelligence & Research Center for Information and Communications Technologies (CITIC), University of Granada, Granada, SpainDepartment of Computer Science and Artificial Intelligence & Research Center for Information and Communications Technologies (CITIC), University of Granada, Granada, SpainDepartment of Computer Science and Artificial Intelligence & Research Center for Information and Communications Technologies (CITIC), University of Granada, Granada, SpainNetwork 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.http://dx.doi.org/10.1155/2019/1439415 |
| spellingShingle | Víctor Martínez Fernando Berzal Juan-Carlos Cubero NOESIS: A Framework for Complex Network Data Analysis Complexity |
| title | NOESIS: A Framework for Complex Network Data Analysis |
| title_full | NOESIS: A Framework for Complex Network Data Analysis |
| title_fullStr | NOESIS: A Framework for Complex Network Data Analysis |
| title_full_unstemmed | NOESIS: A Framework for Complex Network Data Analysis |
| title_short | NOESIS: A Framework for Complex Network Data Analysis |
| title_sort | noesis a framework for complex network data analysis |
| url | http://dx.doi.org/10.1155/2019/1439415 |
| work_keys_str_mv | AT victormartinez noesisaframeworkforcomplexnetworkdataanalysis AT fernandoberzal noesisaframeworkforcomplexnetworkdataanalysis AT juancarloscubero noesisaframeworkforcomplexnetworkdataanalysis |