Data Science and Intelligent Applications : Proceedings of ICDSIA 2020 / / edited by Ketan Kotecha, Vincenzo Piuri, Hetalkumar N. Shah, Rajan Patel

• Record Nr.: UNINA9910483850203321
• Pubbl/distr/stampa: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021
• ISBN: 981-15-4474-3
• Edizione: [1st ed. 2021.]
• Descrizione fisica: 1 online resource (556 pages)
• Collana: Lecture Notes on Data Engineering and Communications Technologies, , 2367-4512 ; ; 52
• Disciplina: 005.7
• Soggetti: Computational intelligence; Artificial intelligence; Engineering—Data processing; Data mining; Computer security; Computational Intelligence; Artificial Intelligence; Data Engineering; Data Mining and Knowledge Discovery; Systems and Data Security
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Hate Speech Detection: A Bird’s Eye View -- Intrusion Detection System Using Semi-supervised Machine Learning -- A Survey on Machine Learning and Deep Learning based Approaches for Sarcasm Identification in Social Media -- A Machine Learning Algorithm to Predict Financial Investment -- Genetic Algorithm based Task Scheduling for Load Balancing in Cloud -- Experimental Analysis of Measuring Neighbourhood Change in the Presence of Wormhole in Mobile Wireless Sensor Networks -- Privy Cloud/Web Server -- Automating Container Deployments Using CI/CD -- Security and Performance Evaluations of QUIC Protocol -- Comparative Survey of Digital Image Steganography Spatial Domain Techniques -- Automatic Evaluation of Analog Circuit Designs.
• Sommario/riassunto: This book includes selected papers from the International Conference on Data Science and Intelligent Applications (ICDSIA 2020), hosted by Gandhinagar Institute of Technology (GIT), Gujarat, India, on January 24–25, 2020. The proceedings present original and high-quality contributions on theory and practice concerning emerging technologies in the areas of data science and intelligent applications. The conference provides a forum for researchers from academia and industry to present and share their ideas, views and results, while also helping them approach the challenges of technological advancements from different viewpoints. The contributions cover a broad range of topics, including: collective intelligence, intelligent systems, IoT, fuzzy systems, Bayesian networks, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, speech processing, machine learning and deep learning, and intelligent applications and systems. Helping strengthen the links between academia and industry, the book offers a valuable resource for instructors, students, industry practitioners, engineers, managers, researchers, and scientists alike. .