Trend analysis model: trend consists of temporal words, topics, and timestamps.
| Anthology ID: | DBLP:conf/wsdm/Kawamae11 |
|---|---|
| Volume: | Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011 |
| Year: | 2011 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 317-326 |
| URL: | https://doi.org/10.1145/1935826.1935880 |
| DOI: | https://doi.org/10.1145/1935826.1935880 |
| DBLP: | conf/wsdm/Kawamae11 |
| BibTeX: |
@inproceedings{kawamae-2011-trend,
author = {Noriaki Kawamae},
editor = {Irwin King and
Wolfgang Nejdl and
Hang Li},
title = {{Trend analysis model: trend consists of temporal words, topics, and timestamps}},
booktitle = {{Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011}},
pages = {317--326},
publisher = {ACM},
year = {2011},
url = {https://doi.org/10.1145/1935826.1935880},
doi = {https://doi.org/10.1145/1935826.1935880}
}