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Big Data Analytics in Astronomy, Science, and Engineering -

Big Data Analytics in Astronomy, Science, and Engineering

12th International Conference on Big Data Analytics, BDA 2024, Aizu, Japan, November 26–28, 2024, Proceedings
Buch | Softcover
XIII, 354 Seiten
2025
Springer International Publishing (Verlag)
9783031861925 (ISBN)
CHF 98,85 inkl. MwSt

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.

 

 

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.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XIII, 354 p. 139 illus., 127 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Netzwerke
Schlagworte Artificial Intelligence • Big Data • collaborative and social computing systems • Computer Security • computer vision • Correlation Analysis • Databases • Data Mining • Data Science • digital storage • document representation • machine learning • Middleware for Databases • Network Protocols • Software engineering • specialized information retrieval • web applications • web data description languages • web interfaces • Web searching and information discovery
ISBN-13 9783031861925 / 9783031861925
Zustand Neuware
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von Christiana Klingenberg; Kristin Weber

Buch (2025)
Hanser (Verlag)
CHF 69,95