Big data analytics in astronomy, sci...
BDA (Conference) (2024 :)

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  • Big data analytics in astronomy, science, and engineering = 12th International Conference on Big Data Analytics, BDA 2024, Aizu, Japan, November 26-28, 2024 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Big data analytics in astronomy, science, and engineering/ edited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla.
    其他題名: 12th International Conference on Big Data Analytics, BDA 2024, Aizu, Japan, November 26-28, 2024 : proceedings /
    其他題名: BDA 2024
    其他作者: Sachdeva, Shelly.
    團體作者: BDA (Conference)
    出版者: Cham :Springer Nature Switzerland : : 2025.,
    面頁冊數: xiii, 354 p. :ill. (chiefly color), digital ;24 cm.
    內容註: 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.
    Contained By: Springer Nature eBook
    標題: Big data - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-86193-2
    ISBN: 9783031861932
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