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RelSen: An Optimization-based Framework for Simultaneously Sensor
  Reliability Monitoring and Data Cleaning
v1v2v3 (latest)

RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning

International Conference on Information and Knowledge Management (CIKM), 2020
19 April 2020
Cheng Feng
X. Liang
Daniel Schneegaß
Pengwei Tian
ArXiv (abs)PDFHTML

Papers citing "RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning"

2 / 2 papers shown
PARs: Predicate-based Association Rules for Efficient and Accurate
  Model-Agnostic Anomaly Explanation
PARs: Predicate-based Association Rules for Efficient and Accurate Model-Agnostic Anomaly Explanation
Cheng Feng
188
0
0
18 Dec 2023
Learning Invariant Rules from Data for Interpretable Anomaly Detection
Learning Invariant Rules from Data for Interpretable Anomaly Detection
Cheng Feng
Pingge Hu
324
2
0
24 Nov 2022
1
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