A Fatigue Strength Predictor for Steels Using Ensemble Data Mining: Steel Fatigue Strength Predictor.
Ankit Agrawal|Alok N. Choudhary
| Anthology ID: | DBLP:conf/cikm/AgrawalC16 |
|---|---|
| Volume: | Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016 |
| Year: | 2016 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2497-2500 |
| URL: | https://doi.org/10.1145/2983323.2983343 |
| DOI: | https://doi.org/10.1145/2983323.2983343 |
| DBLP: | conf/cikm/AgrawalC16 |
| BibTeX: |
@inproceedings{agrawal-2016-fatigue,
author = {Ankit Agrawal and
Alok N. Choudhary},
editor = {Snehasis Mukhopadhyay and
Javed Mostafa and
ChengXiang Zhai and
Elisa Bertino and
Fabio Crestani and
Javed Mostafa and
Jie Tang and
Luo Si and
Xiaofang Zhou and
Yi Chang and
Yunyao Li and
Parikshit Sondhi},
title = {{A Fatigue Strength Predictor for Steels Using Ensemble Data Mining: Steel Fatigue Strength Predictor}},
booktitle = {{Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016}},
pages = {2497--2500},
publisher = {ACM},
year = {2016},
url = {https://doi.org/10.1145/2983323.2983343},
doi = {https://doi.org/10.1145/2983323.2983343}
}