Work

Discovering Graph Temporal Association Rules

Year: 2017

Type: conference-paper

Source: ACM International Conference on Information and Knowledge Management (CIKM)

DOI: 10.1145/3132847.3133014

Authors: Mohammad Hossein Namaki, Yinghui Wu, Qi Song, Peng Lin, Tingjian Ge

Institutions: Washington State University, Pacific Northwest National Laboratory, University of Massachusetts Lowell

Language: English

Topic: Data Mining Algorithms and Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Awards: BIGDATA: Collaborative Research: F: Association Analysis of Big Graphs: Models, Algorithms and Applications, III: Small: QUEST: An Integrated Query and Event System on Noisy Streams and Tables, CAREER: MUSE: An Integrated Approach to Managing Uncertain Scientific Experimental Data, BIGDATA: Collaborative Research: F: Association Analysis of Big Graphs: Models, Algorithms and Applications

OpenAlex ID: W2767324389

FWCI: 3.313

Cites: 37

Cited by: 39

Related to: 10