Big Data Analytics in Astronomy, Science, and Engineering : 12th International Conference on Big Data Analytics, BDA 2024, Aizu, Japan, November 26–28, 2024, Proceedings / / edited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla

• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (XIII, 354 p. 139 illus., 127 illus. in color.)
• Disciplina: 005.3
• Soggetto topico: Application software; Database management; Computer networks; Computer and Information Systems Applications; Database Management; Computer Communication Networks
• Persona (resp. second.): SachdevaShelly; WatanobeYutaka; BhallaSubhash
• Nota di contenuto: Big Data: Analysis and Management -- WireLlama - Agentic Query System for PCAP Analysis -- Schema Transformation from RDBMS to NoSQL using Hypergraph -- HeteroFormer: A Structure Aware Heterogeneous Graph Transformer -- Applying Text Mining to Analyze Human Question Asking in Creativity Research -- Overview of Current Challenges in Multi-Architecture Software Engineering and a Vision for the Future -- Introspecting Policy Documents through Semantic Lenses Of Sustainable Development Goals -- Data Science -- Ensemble Machine Learning and Natural Language Processing Techniques for the Assessment of Depression using Non-Clinical Texts -- Density and Connectivity-based Neighbor Relationship Materialization for Discovering Prevalent Co-location Patterns -- Exoplanet Detection: A Detailed Analysis -- Simulation, Classification, and Classification via Simulation -- Improving Multimodal Sentiment Analysis with Unimodal Pseudo-Label Generation -- The Language of Nuance: Exploring the Limits of Large Language Models in Handling Ambiguity -- Big Data Applications -- Image Caption Generation using Deep Learning -- Hybridization of K-means and Chaotic K-best Gravitational Search Algorithm to solve clustering problems -- Infant Mortality in India: Understanding the problem using Machine Learning lens -- Electricity Demand and Price Forecasting using LSTM for Smart Grid Operations -- Recognizing Selected Features in the News Text -- HPC-CleanSeq: A tool for contamination removal in big RNA-seq datasets -- Information Security -- Data Fortress- File Sharing System Enhancing the Features of Blockchain -- Decentralized Online Examination Platforms Employing Smart Contracts for Security -- MHD Turbulence in a Cylindrical Shearing Box -- AI-Powered Threat Detection.
• Sommario/riassunto: This book constitutes the proceedings of the 12th International Conference on Big Data Analytics in Astronomy, Science, and Engineering, BDA 2024, which took place in Aizu, Japan during November 26-28, 2024. The 16 full papers included in this book were carefully reviewed and selected from 90 submissions; the proceedings also include 6 invited papers. The contributions were organized in topical sections as follows: Big Data: analysis and management; data science; big data applications; and information security. .
• Titolo autorizzato: Big Data Analytics in Astronomy, Science, and Engineering
• ISBN: 3-031-86193-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910992785803321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 15546