1.

Record Nr.

UNINA9911021975003321

Autore

Shukla Samiksha

Titolo

Data Science and Security : Proceedings of IDSCS 2024, Volume 1 / / edited by Samiksha Shukla, Hiroki Sayama, Kapil Tiwari, Joseph Varghese Kureethara

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025

ISBN

981-9648-80-7

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (671 pages)

Collana

Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1354

Altri autori (Persone)

SayamaHiroki

TivārīKapila

KureetharaJoseph Varghese

Disciplina

006.3

Soggetti

Computational intelligence

Artificial intelligence

Data structures (Computer science)

Information theory

Data protection

Computer networks - Security measures

Computational Intelligence

Artificial Intelligence

Data Structures and Information Theory

Data and Information Security

Mobile and Network Security

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Agent-Based Models with PyCX for Modeling Crowd Dynamics During Evacuations -- Confidential Inference and Model Protection using Secure Multi-Party Computation and Differential Privacy -- Web Image Recommendation Framework Integrating Semantics Asserted Knowledge -- Quantitative Analysis of Occupational Safety and Health Administration Laws and Violation Citation Data for General Industry -- Impact Analysis of Country-Specific Economic Crisis on Global Economy using Data Points.

Sommario/riassunto

This book presents best-selected papers presented at the International



Conference on Data Science for Computational Security (IDSCS 2024), hosted by Christ (Deemed to be University), India, and technically sponsored by The Tejas Scientific Researcher Foundation, India, from 08–09 November, 2024. The book targets the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.