EconPapers    
Economics at your fingertips  
 

Synthetic Data Outside Computer Vision

Sergey I. Nikolenko ()
Additional contact information
Sergey I. Nikolenko: Synthesis AI

Chapter Chapter 8 in Synthetic Data for Deep Learning, 2021, pp 217-226 from Springer

Abstract: Abstract While computer vision remains the main focus of synthetic data applications, other fields also begin to use synthetic datasets, with some directions entirely dependent on synthetic data. In this chapter, we survey some of these fields. Specifically, Section 8.1 discusses how structured synthetic data is used for fraud and intrusion detection and other applications in the form of network and/or system logs; in Section 8.2, we consider neural programming; Section 8.3 discusses synthetic data generation and use in bioinformatics, and Section 8.4 reviews the (admittedly limited) applications of synthetic data in natural language processing.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

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:spochp:978-3-030-75178-4_8

Ordering information: This item can be ordered from
http://www.springer.com/9783030751784

DOI: 10.1007/978-3-030-75178-4_8

Access Statistics for this chapter

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

 
Page updated 2025-04-01
Handle: RePEc:spr:spochp:978-3-030-75178-4_8