Big Data – BigData 2022: 11th International Conference Held as Part of the Services Conference Federation, SCF 2022 Honolulu, HI, USA, December 10–14, 2022 Proceedings

Description

This book constitutes the proceedings of the 11th International Conference on Big Data, BigData 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022.  The 4 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The 2022 International Congress on Big Data (BigData 2022) aims to provide an international forum that formally explores various business insights of all kinds of value-added "services". Big Data is a key enabler of exploring business insights and economics of services. Preface Organization Services Society Services Conference Federation (SCF) Contents A Massive Data Retrieval Method for Power Information Collection Systems 1 Introduction 2 Related Works 3 The Proposed Method for Massive Data Retrieval 3.1 The Proposed Method 3.2 Pseudocode 4 The Experiment 5 Conclusions References Research and Application of the Data Resource Directory System of the Aerospace Enterprise 1 Introduction 2 The Data Resource Directory System 2.1 Data Standard Design 2.2 Data Resource Inventory 2.3 Data Resource Directory Framework Construction 3 Application 3.1 Data Asset Management Platform 3.2 Data Resource Pool Construction 4 Conclusion Appendix A References Performance Analysis of Cross-Border Mergers and Acquisitions of Baiyuan Pants Industry in the Internet Era 1 Introduction 2 Overview of the Case of Baiyuan Pants Industry’ Cross-Border M&A of Global Tesco 2.1 Motivation for Cross-Border M&A of the Baiyuan Pants Industry 2.2 The Process of Cross-Border M&A of the Baiyuan Pants Industry 3 Performance Analysis of Cross-Border M&A of the Baiyuan Pants Industry 4 Analysis of the Reasons for the Successful Cross-Border M&A of the Baiyuan Pants Industry 4.1 Building a New Development Pattern by Acquiring Complementary Assets 4.2 Existing Capabilities Have Been Expanded Through the Bundling and Reorganization of Resources 4.3 The Leverage Effect is Achieved Through the Deployment and Utilization of Resources 5 Research Conclusions and Management Implications References Topic Modeling in the ENRON Dataset 1 Introduction 2 Background 3 Methodology 3.1 Text Preprocessing 3.2 Topic Modeling 3.3 Term Frequency-Inverse Document Frequency (TF-IDF) 4 Experiment Result 4.1 Analyzing ENRON Dataset with TF-IDF 4.2 Analyzing ENRON Dataset with LDA 5 Conclusion References Design of Multi-data Sources Based Forest Fire Monitoring and Early Warning System 1 Introduction 2 Related Works 3 Top-Level Design 3.1 Data Source 3.2 System Design Process 3.3 Functional Design 4 Algorithm Design 4.1 Forest Fire Point Satellite Monitoring 4.2 Forest Fire Point Video Monitoring 4.3 Inspectors Report Monitoring and Early Warning 5 Implementation and Discussion References Research on the Pricing Method of Power Data Assets 1 The Introduction 2 Research Status at Home and Abroad 2.1 Current Status of Foreign Research 2.2 Domestic Research Status 3 Data Asset Valuation Methods 3.1 Cost Method 3.2 Income Method 3.3 Market Law 4 Power Data Asset Pricing 4.1 Characteristics of Power Data Assets 4.2 Division of Power Data Assets 4.3 Pricing Principles 4.4 Pricing Method 5 Summary and Outlook References Research and Design on the Confirmation Method of Power Data Assets 1 The Introduction 2 Analysis of Power Data Assets 2.1 Power Data Asset Concept 2.2 Power Data Asset Characteristics 2.3 Classification of Power Data Assets 2.4 Power Data Asset Classification 2.5 Data Flow Process 3 Division of Property Rights of Power Data Assets 4 Power Data Assets Confirmation Scheme 4.1 Confirmation Principle 4.2 Power Data Assets Confirmation Scheme 5 Summary and Outlook References Big Data Technology in Real Estate Industry: Scenarios and Benefits 1 Introduction 2 Literature Review 2.1 Real Estate Big Data Types 2.2 Real Estate Big Data Used in Development and Management Decisions 2.3 Real Estate Big Data Used in Real Estate Policy Formulation 2.4 Comments 3 Opportunities and Dilemmas of Real Estate Big Data Application 3.1 Opportunities 3.2 Dilemmas 4 Innovative Scenarios for the Application of Big Data 4.1 “Internet+” Real Estate Marketing 4.2 Personalization of Real Estate 4.3 Digital Property Services 4.4 Upstream and Downstream Integration 5 Application Path of Big Data in Real Estate Industry 5.1 The Main Characteristics of Big Data Empowerment 5.2 Feasible Paths for Big Data to Empower the Real Estate Industry 6 Conclusion and Suggestion References Copyright and AI: Are Extant Laws Adequate? 1 Introduction 2 Protection of AI Creation by Existing Copyright System 3 Inadequate Protection of AI Under Copyright Law 4 Suggestions on Perfecting the Copyright Law Protection of AI 5 Conclusion References Author Index