NOESIS网络数据挖掘的开源框架

Víctor Martínez, Fernando Berzal Galiano, J. Cubero
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引用次数: 2

摘要

NOESIS是一个用于开发网络数据数据挖掘技术的软件框架。作为一个在BSD许可下发布的开源项目,NOESIS打算为解决复杂的网络数据挖掘问题提供必要的基础设施。目前,它包含了大量流行的与网络相关的数据挖掘技术,包括网络结构特性分析、社区检测算法、链路评分和预测方法以及网络可视化技术。NOESIS的设计试图使用面向对象的设计原则和结构化并行编程来促进并行算法的开发。NOESIS可以像许多其他网络分析包一样用作独立的应用程序,并且可以作为轻量级库包含在特定于领域的数据挖掘应用程序和系统中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The NOESIS open source framework for network data mining
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.
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