InCaToMi: integrative causal topic miner between textual and non-textual time series data.

Hyun Duk Kim|ChengXiang Zhai|Thomas A. Rietz|Daniel Diermeier|Meichun Hsu|Malú Castellanos|Carlos Ceja Limon


Anthology ID:DBLP:conf/cikm/KimZRDHCL12
Volume:21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012
Year:2012
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:2689-2691
URL:https://doi.org/10.1145/2396761.2398727
DOI:https://doi.org/10.1145/2396761.2398727
DBLP:conf/cikm/KimZRDHCL12
BibTeX:
@inproceedings{kim-2012-incatomi, author = {Hyun Duk Kim and ChengXiang Zhai and Thomas A. Rietz and Daniel Diermeier and Meichun Hsu and Mal\'{u} Castellanos and Carlos Ceja Limon}, editor = {Xue-wen Chen and Guy Lebanon and Haixun Wang and Mohammed J. Zaki}, title = {{InCaToMi: integrative causal topic miner between textual and non-textual time series data}}, booktitle = {{21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012}}, pages = {2689--2691}, publisher = {ACM}, year = {2012}, url = {https://doi.org/10.1145/2396761.2398727}, doi = {https://doi.org/10.1145/2396761.2398727} }