The recent advances in transdiscipli...
Southwest Data Science Conference (2022 :)

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  • The recent advances in transdisciplinary data science = first Southwest Data Science Conference, SDSC 2022, Waco, TX, USA, March 25-26, 2022 : revised selected papers /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: The recent advances in transdisciplinary data science/ edited by Henry Han, Erich Baker.
    Reminder of title: first Southwest Data Science Conference, SDSC 2022, Waco, TX, USA, March 25-26, 2022 : revised selected papers /
    remainder title: SDSC 2022
    other author: Han, Henry.
    corporate name: Southwest Data Science Conference
    Published: Cham :Springer Nature Switzerland : : 2022.,
    Description: xii, 227 p. :ill., digital ;24 cm.
    [NT 15003449]: Business and social data science -- Forecasting stock excess returns with SEC 8-K filings -- A Fast Initial Response Approach to Sequential Financial Surveillance -- Evaluation of High-value patents in the reverse innovation: a theory and case study from China -- Research on the influence of different fairness reference points on the supply chain enterprises -- Health and biological data science -- EGRE: calculating enrichment between genomic regions -- THSLRR: a low-rank subspace clustering method based on tired random walk similarity and hypergraph regularization constraints -- Traceability analysis of Feng-Flavour Daqu in China -- Visualization of Functional Assignment of Disease Genes and Mutations -- Applied data science, artificial intelligence and data engineering -- Characterizing In-situ Solar Wind Observations Using Clustering Methods -- An improved capsule network for speech emotion recognition -- Distributed Query Processing and Reasoning Over Linked Big Data -- Normal equilibrium fluctuations from chaotic trajectories: Coupled logistic maps -- Matching Code Patterns Across Programming Languages -- Partitionable Programs using Tyro V2 -- Analyzing Technical Debt by Mapping Production Logs with Source Code -- EB-FedAvg: Personalized and training efficient Federated Learning with Early-Bird Tickets.
    Contained By: Springer Nature eBook
    Subject: Big data - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-23387-6
    ISBN: 9783031233876
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