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Can I read Impact of the Composition of Feature Extraction and Class Sampling in Medicare Fraud Detection on EtoBox?
Impact of the Composition of Feature Extraction and Class Sampling in Medicare Fraud Detection by Akrity Kumari; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal is a computer science book available to read on EtoBox.
What is Impact of the Composition of Feature Extraction and Class Sampling in Medicare Fraud Detection about?
The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. <br>The 146 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications.<br>The ICONIP conference ai
Who reads Impact of the Composition of Feature Extraction and Class Sampling in Medicare Fraud Detection?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Akrity Kumari; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal
- Publisher
- Springer International Publishing AG
- Published
- 2023
- Language
- EN
- ISBN
- 9783031301117
- Category
- computer science
- Subjects
- Business, Mathematics, Science
- Updated
- 2026-03-25
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