Mining Large Graphs and Streams using Matrix and Tensor Tools (extended abstract)

Abstract

Coevolving streams of numerical measurements, as well astime evolving graphs, can well be represented as tensors. Here we review the fundamental matrix and tensors tools forthe analysis and mining of large scale streams and graphs.

Type
Other
Publication
In SIGMOD ‘07: Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Date
Tags
Tensors, Data Mining
Links
PDF DOI
Citation
C. Faloutsos, T. G. Kolda, J. Sun. Mining Large Graphs and Streams using Matrix and Tensor Tools (extended abstract). In SIGMOD ‘07: Proceedings of the 2007 ACM SIGMOD international conference on Management of data, Beijing, China (2007-06-11 to 2007-06-14), ACM, pp. 1174, 2007. https://doi.org/10.1145/1247480.1247647

BibTeX

@inproceedings{FaKoSu07,  
author = {Christos Faloutsos and Tamara G. Kolda and Jimeng Sun}, 
title = {Mining Large Graphs and Streams using Matrix and Tensor Tools (extended abstract)}, 
booktitle = {SIGMOD '07: Proceedings of the 2007 ACM SIGMOD international conference on Management of data},
venue = {Beijing, China},
eventdate = {2007-06-11/2007-06-14}, 
publisher = {ACM}, 
pages = {1174}, 
year = {2007},
doi = {10.1145/1247480.1247647},
}