198 citations · 233 across the 6 of their papers we have counts for
6 papers
Hierarchical Clustering in Graph Streams: Single-Pass Algorithms and Space Lower Bounds
Sepehr Assadi, Vaggos Chatziafratis, Jakub Łącki +2
The Hierarchical Clustering (HC) problem consists of building a hierarchy of clusters to represent a given dataset. Motivated by the modern large-scale applications, we study the p…
Time Series Data Cleaning with Regular and Irregular Time Intervals
Xi Wang, Chen Wang
Errors are prevalent in time series data, especially in the industrial field. Data with errors could not be stored in the database, which results in the loss of data assets. Handli…
Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Zinan Lin, Alankar Jain, Chen Wang +2
Limited data access is a longstanding barrier to data-driven research and development in the networked systems community. In this work, we explore if and how generative adversarial…
Matching Consecutive Subpatterns Over Streaming Time Series
Rong Kang, Chen Wang, Peng Wang +2
Pattern matching of streaming time series with lower latency under limited computing resource comes to a critical problem, especially as the growth of Industry 4.0 and Industry Int…
Fine-grained Pattern Matching Over Streaming Time Series
Rong Kang, Chen Wang, Peng Wang +2
Pattern matching of streaming time series with lower latency under limited computing resource comes to a critical problem, especially as the growth of Industry 4.0 and Industry Int…
KV-match: A Subsequence Matching Approach Supporting Normalization and Time Warping [Extended Version]
Jiaye Wu, Peng Wang, Ningting Pan +3
The volume of time series data has exploded due to the popularity of new applications, such as data center management and IoT. Subsequence matching is a fundamental task in mining…