TY - BOOK AU - Wei,Jinpeng AU - Zhang,Liang-Jie ED - BigData (Congress) ED - Services Conference Federation. TI - Big data - BigData 2021: 10th international conference, held as part of the Services Conference Federation, SCF 2021 virtual event, December 10-14, 2021 : proceedings T2 - Lecture notes in computer science SN - 9783030962821 AV - QA76.9.B45 B54 2021 U1 - 005.7 23 PY - 2022///] CY - Cham PB - Springer KW - Big data KW - Congresses KW - Données volumineuses KW - Congrès KW - fast KW - Dades massives KW - thub KW - Congress KW - proceedings (reports) KW - aat KW - Conference papers and proceedings KW - lcgft KW - Actes de congrès KW - rvmgf KW - Congressos KW - Llibres electrònics N1 - International conference proceedings; Includes author index; Research Track -- A Combination of Resampling and Ensemble Method for Text Classification on Imbalanced -- Validating Business Problem Hypotheses: A Goal-Oriented and Machine Learning-Based Approach -- Application Track -- Safety Application Platform of Energy Production Surveillance based on Data Flow -- Digital Transformation Method for Healthcare Data -- Citizens' Continuous-use Intention to Open Government Data: Empirical Evidence from China -- Industrial control system attack detection model based on Bayesian network and Timed automata -- System Design on Flood Control Disaster Reduction System for Emergency Management based on BDS -- Short Paper Track -- Demystifying Metaverse as a New Paradigm of Enterprise Digitization N2 - This book constitutes the proceedings of the 10th International Conference on Big Data, BigData 2021, held online as part of SCF 2021, during December 10-14, 2021. The 6 full and 2 short papers presented were carefully reviewed and selected from 53 submissions. The topics covered are Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions. UR - https://link.springer.com/10.1007/978-3-030-96282-1 ER -