A Variable Markovian Based Outlier Detection Method for Multi-Dimensional Sequence over Data Stream

Yang, Dongsheng; Wang, Yijie; Li, Yongmou; Ma, Xingkong

doi:10.1109/pdcat.2016.049

2016 17th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) 2016

DOI: 10.1109/pdcat.2016.049

|View full text |Cite

A Variable Markovian Based Outlier Detection Method for Multi-Dimensional Sequence over Data Stream

Dongsheng Yang

Yijie Wang

Yongmou Li

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A Variable Markovian Based Outlier Detection Method for Multi-Dimensional Sequence over Data Stream

Cited by 1 publication

References 12 publications

Detecting Outliers in Non-IID Data: A Systematic Literature Review

Detecting Outliers in Non-IID Data: A Systematic Literature Review

Contact Info

Product

Resources

About