MIST: Top-k Approximate Sub-string Mining Using Triplet Statistical Significance.
| Anthology ID: | DBLP:conf/ecir/Dutta15 |
|---|---|
| Volume: | Advances in Information Retrieval - 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings |
| Year: | 2015 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Pages: | 284-290 |
| URL: | https://doi.org/10.1007/978-3-319-16354-3_31 |
| DOI: | https://doi.org/10.1007/978-3-319-16354-3_31 |
| DBLP: | conf/ecir/Dutta15 |
| BibTeX: |
@inproceedings{dutta-2015-mist,
author = {Sourav Dutta},
editor = {Allan Hanbury and
Gabriella Kazai and
Andreas Rauber and
Norbert Fuhr},
title = {{MIST: Top-k Approximate Sub-string Mining Using Triplet Statistical Significance}},
booktitle = {{Advances in Information Retrieval - 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings}},
series = {Lecture Notes in Computer Science},
volume = {9022},
pages = {284--290},
year = {2015},
url = {https://doi.org/10.1007/978-3-319-16354-3_31},
doi = {https://doi.org/10.1007/978-3-319-16354-3_31}
}