학술논문
Compound Analytics: Templates for Integrating Graph Algorithms and Machine Learning
Document Type
Conference
Author
Source
2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) IPDPSW Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2017 IEEE International. :1550-1556 May, 2017
Subject
Language
Abstract
A general analytical framework is described for melding graph-theoretical algorithms and machine learning technologies. A main goal is to extract latent relationships and other forms of knowledge from immense, noisy, and often incomplete data. Several exemplars illustrate the overall process, and highlight critical methodological decision points encountered across a variety of application domains.