Paper Info
Title
The NOESIS Open Source Framework for Network Data Mining.
Abstract
NOESIS is a software framework for the development of data mining techniques for networked data. As an open source project, released under a BSD license, NOESIS intends to provide the necessary infrastructure for solving complex network data mining problems. Currently, it includes a large collection of popular network-related data mining techniques, including the analysis of network structural properties, community detection algorithms, link scoring and prediction methods, and network visualization techniques. The design of NOESIS tries to facilitate the development of parallel algorithms using solid object-oriented design principles and structured parallel programming. NOESIS can be used as a stand-alone application, as many other network analysis packages, and can be included, as a lightweight library, in domain-specific data mining applications and systems.
Year
DOI
Venue
2015
10.5220/0005610103160321
KDIR
Keywords
Field
DocType
Network Analysis, Network Visualization, Community Detection, Structural Properties
Design elements and principles,Graph drawing,Data mining,Parallel algorithm,Computer science,Network data,Complex network,Network analysis,Database,Software framework,License
Conference
Volume
ISBN
Citations 
01
978-1-5090-1967-0
0
PageRank 
References 
Authors
0.34
8
3
Name
Order
Citations
PageRank
Víctor Martínez1693.25
Fernando Berzal Galiano239739.14
Juan-Carlos Cubero324518.28