Xing Wang

According to our database, Xing Wang authored at least 8 papers between 2014 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

GrammarViz 3.0: Interactive Discovery of Variable-Length Time Series Patterns.

Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein

ACM Trans. Knowl. Discov. Data, 2018

Exact variable-length anomaly detection algorithm for univariate and multivariate time series.

Xing Wang, Jessica Lin, Nital Patel, Martin W. Braun

Data Min. Knowl. Discov., 2018

2016

RPM: Representative Pattern Mining for Efficient Time Series Classification.

Xing Wang, Jessica Lin, Pavel Senin, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein

Proceedings of the 19th International Conference on Extending Database Technology, 2016

A Self-Learning and Online Algorithm for Time Series Anomaly Detection, with Application in CPU Manufacturing.

Xing Wang, Jessica Lin, Nital Patel, Martin W. Braun

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms.

Xing Wang, Yifeng Gao, Jessica Lin, Huzefa Rangwala, Ranjeev Mittu

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Time series anomaly discovery with grammar-based compression.

Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein

Proceedings of the 18th International Conference on Extending Database Technology, 2015

A Generative Model For Time Series Discretization Based On Multiple Normal Distributions.

Sunil Gandhi, Tim Oates, Arnold P. Boedihardjo, Crystal Chen, Jessica Lin, Pavel Senin, Susan Frankenstein, Xing Wang

Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management, 2015

2014

GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series.

Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein, Manfred Lerner

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014