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01/04/2023
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series
Recent rapid development of sensor technology has allowed massive fine-g...
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11/03/2022
Robust Time Series Chain Discovery with Incremental Nearest Neighbors
Time series motif discovery has been a fundamental task to identify mean...
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01/31/2022
Federated Learning with Erroneous Communication Links
In this paper, we consider the federated learning (FL) problem in the pr...
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12/03/2021
Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity
Differential privacy (DP) has become the de facto standard of privacy pr...
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01/30/2020
Semantic Discord: Finding Unusual Local Patterns for Time Series
Finding anomalous subsequence in a long time series is a very important ...
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01/29/2020
Ensemble Grammar Induction For Detecting Anomalies in Time Series
Time series anomaly detection is an important task, with applications in...
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11/20/2019
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series
Detecting repeating patterns of different lengths in time series, also c...
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02/13/2018
Efficient Discovery of Variable-length Time Series Motifs with Large Length Range in Million Scale Time Series
Detecting repeated variable-length patterns, also called variable-length...
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08/17/2011
