NOESIS: A Framework for Complex Network Data Analysis

المؤلفون المشاركون

Martínez, Víctor
Berzal, Fernando
Cubero, Juan-Carlos

المصدر

Complexity

العدد

المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-14، 14ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2019-10-31

دولة النشر

مصر

عدد الصفحات

14

التخصصات الرئيسية

الفلسفة

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1131010