Detecting Fraud Calls vis-à-vis Natural Language Processing-Reference-Cited by-同舟云学术

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Detecting Fraud Calls vis-à-vis Natural Language Processing

Published:2024-05-02 Issue: Volume: Page:457-462
ISSN:
Container-title:2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)
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Author:

Kumar Pijush Kanti¹,Ray Samrat²,Kumarasankaralingam Lakshmanan³,Ramamoorthy Athilingam⁴,Kumar Padmanavan⁵,Dutta Anurag⁶

Affiliation:

1. GCETT,Department of Information Technology,Serampore,West Bengal,India

2. IIMS,International Relations,Pune,Maharashtra,India

3. St. Joseph University,Department of Mathematics,Virgin Town,Nagaland,India

4. Velammal Engineering College,Department of Mathematics,Chennai,India

5. KIIT,Department of Computer Science,Bhubaneswar,Odisha,India

6. GCETT,Department of Computer Science,Serampore,West Bengal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550186/10550954/10551082.pdf?arnumber=10551082

Reference22 articles.

1. Event-level prediction of urban crime reveals a signature of enforcement bias in US cities

2. Prognosis of breast cancer using machine learning classifiers

3. Principles of Classification and Nomenclature of Viruses

4. Computational Time Complexity for Sorting Algorithm amalgamated with Quantum Search

5. Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction

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