Extending Representation Learning with Spatial-Temporal Modeling

Yu Xie (), Yue Tian, Jiamin Yao () and Guanjun Liu ()
Additional contact information
Yu Xie: Shanghai Maritime University, College of Information Engineering
Yue Tian: Shanghai Normal University, Department of Computer Science and Technology
Jiamin Yao: Shanghai Maritime University, College of Information Engineering
Guanjun Liu: Tongji University, Department of Computer Science

Chapter 6 in Neural Network-Based Deep Learning for Online Payment Fraud Detection, 2026, pp 97-114 from Springer

Abstract: Abstract In time series analysis, hierarchical gating network-based methods effectively capture the dynamic characteristics of transactional behavior and reveal the temporal patterns underlying fraud.

Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-95-8513-7_6

Ordering information: This item can be ordered from
http://www.springer.com/9789819585137

DOI: 10.1007/978-981-95-8513-7_6

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().