A Study of Complication Identification Based on Weighted Association Rule Mining
- DOI
- 10.1007/978-3-319-42102-5_17
- Published
- 2016
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer International Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-319-42102-5_17,
title = {A Study of Complication Identification Based on Weighted Association Rule Mining},
author = {Zhijun Yan and Kai Liu and Meiming Xing and Tianmei Wang and Baowen Sun},
year = {2016},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-319-42102-5_17},
url = {https://doi.org/10.1007/978-3-319-42102-5_17}
}RIS
TY - JOUR TI - A Study of Complication Identification Based on Weighted Association Rule Mining AU - Zhijun Yan AU - Kai Liu AU - Meiming Xing AU - Tianmei Wang AU - Baowen Sun PY - 2016 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-319-42102-5_17 UR - https://doi.org/10.1007/978-3-319-42102-5_17 ER -
APA
Yan, Z., Liu, K., Xing, M., Wang, T., & Sun, B. (2016). A Study of Complication Identification Based on Weighted Association Rule Mining. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-319-42102-5_17
Source records
- crossref · retrieved 2026-11-10T12:14:10.562Z