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|a QA76.9.A25
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|a Yen, Jerome.
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|a Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023).
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|a 1st ed.
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|a Dordrecht :
|b Atlantis Press (Zeger Karssen),
|c 2023.
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|c ©2023.
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|a 1 online resource (1595 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Atlantis Highlights in Computer Sciences Series ;
|v v.14
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|a Intro -- Preface -- Organization -- Contents -- Peer-Review Statement -- 1 Review Procedure -- 2 Quality Criteria -- 3 Key Metrics -- Investment Portfolio Establishment -- 1 Introduction -- 2 Data Selection -- 3 Hypothesis Test -- 3.1 Normal Distribution -- 3.2 IID Assumption -- 4 Portfolio Establishment -- 4.1 Diversification Effect -- 4.2 Leveraging -- 4.3 Sharpe Ratio -- 4.4 Comparison -- 5 Conclusion -- References -- Design of Demand Response Pricing Mechanism Under the Trend of Sustainable Development: The Case of Gansu -- 1 Introduction -- 2 Current Situation of Demand Response Construction in Gansu Province -- 3 Design of Gansu Demand Side Response Pricing Mechanism Under Electricity Marketization -- 3.1 Design of Incentive Based Demand Response Pricing Mechanism -- 3.2 Design of Price Based Demand Response Pricing Mechanism -- 4 Conclusion -- References -- Female Executives, Corporate Performance and Social Responsibility in Big Data -- 1 Introduction -- 2 Theoretical Analysis and Research Assumptions -- 2.1 Resource Based Theory -- 2.2 High-Level Echelon Theory -- 2.3 Stakeholder Theory -- 2.4 Feminist Ethical Theory -- 2.5 Female Executives, Corporate Social Responsibility and Corporate Performance -- 3 Research Design -- 3.1 Samples and Data Sources -- 3.2 Variable Definition -- 3.3 Model Construction -- 4 Research Results -- 4.1 Descriptive Statistical Analysis -- 4.2 Correlation Analysis -- 4.3 Regression Analysis -- 5 Conclusion -- References -- Rice Price Volatility of Expors Leaders in World Markets Using TGARCH Model -- 1 Introduction -- 2 Research Methodology -- 2.1 The GARCH Models -- 2.2 The TGARCH Model -- 2.3 The GJR-GARCH Model -- 3 Data -- 4 Empirical Result -- 4.1 Time Series Unit Root Test -- 4.2 Model Selection -- 4.3 The Rice Price Volatility with TGARCH of India -- 4.4 The Rice Price Volatility with TGARCH of Thailand.
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|a 4.5 The Rice Price Volatility with TGARCH of Vietnam -- 5 Conclusion -- References -- Study on the Relationship Between Corporate Financial Leverage and Financial Performance Based on Linear Multiple Regression Model via Stata System -- 1 Introduction -- 2 Literature Review -- 3 Theoretical Analysis and Research Hypothesis -- 4 Research Methods and Data Sources -- 4.1 Data Source and Sample Selection -- 4.2 Definition of Variables -- 4.3 Model Design -- 5 Empirical Results -- 5.1 Descriptive Statistics -- 5.2 Correlation Analysis -- 5.3 Basic Regression Results -- 6 Conclusion -- References -- Comparison Analysis of Stock Price Prediction Based on Different Machine Learning Methods -- 1 Introduction -- 2 Methodology -- 2.1 Data Preparation -- 2.2 Asset Portfolio -- 2.3 Pre-processing and Model Fitting -- 3 Results and Discussion -- 3.1 Efficient Frontier -- 3.2 Minimum Volatility Weights -- 3.3 Minimum Volatility Weights -- 4 Conclusion -- References -- The Impact of Emerging Service Industry on the Economy of Henan Province from the Perspective of the Modern Logistics Development: Based on Multiple Regression Analysis -- 1 Introduction -- 2 Data, Variables and Measurement Models -- 2.1 Gross Domestic Product -- 2.2 Cargo Volume Data -- 2.3 Total Mileage Data of Transportation Network -- 2.4 Total Data of Post and Telecommunications Services -- 2.5 Empirical Model -- 3 Analysis and Test of Model Results -- 3.1 Regression Result Analysis -- 3.2 Variable Correlation Test -- 3.3 Stationary Test -- 4 Policy Suggestions -- 4.1 Establish and Improve the System of Laws, Regulations and Policies -- 4.2 Strengthen the Introduction and Training of Talents in the Logistics Industry -- 5 Conclusion -- References -- Happiness Index Prediction Using Hybrid Regression Model -- 1 Introduction -- 2 Method -- 2.1 Data Preprocessing -- 2.2 Introduction of Algorithms.
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|a 3 Results and Discussion -- 4 Conclusion -- References -- Storage and Modeling Research of Yoga Injury Cases by Using Computer Information Technology -- 1 Preface -- 2 Object and Method -- 2.1 Object -- 2.2 Methods -- 3 Results and Analysis -- 3.1 Data on the Causes of Acute Physical Injury in Yoga Practice -- 3.2 Data on the Characteristics of Acute Physical Injury Occurring in Yoga Practice -- 3.3 Case Acute Injury Data Profile -- 3.4 Athletes' Injury Factors from the Least Squares SVM Were Used to Analyze Yoga Acute Injury Cases -- 4 Conclusion -- References -- Cooperative Game Analysis of Asian Handicap Big Data Based on Quantitative Difference Model -- 1 Introduction -- 2 Method -- 2.1 Data Source -- 2.2 Data Processing -- 2.3 Statistical Analysis -- 3 Results and Discussions -- 3.1 Result Analysis -- 3.2 Discussion Analysis -- 4 Conclusions -- References -- The Effects of Investor Attention on Cornstarch Futures Markets -- 1 Introduction -- 2 Data -- 3 Empirical Results -- 3.1 ADF Test -- 3.2 Granger Causality Analysis -- 3.3 Building VAR Model -- 4 Conclusion -- References -- Use of NLP-Powered Sentiment Analysis in Trading Strategy -- 1 Introduction -- 2 Methodology -- 2.1 Brief Introduction to the Strategy -- 2.2 Sentiment Analysis Logic -- 2.3 Strategy Implementation -- 3 Algorithmic Training and Evaluation -- 3.1 Original Solution -- 3.2 Enriched Dictionary Solution -- 3.3 Equal Weighting Portfolio Construction Model Solution -- 3.4 Solution of Selecting Different Numbers of Securities to Purchase -- 3.5 Final Solution -- 4 Testing and Results -- 5 Conclusion and Future Works -- References -- Analysis of Environmental and Human Habit Factors on Where People Drink the Most Beer, Wine and Spirits -- 1 Introduction -- 2 Regression Analysis -- 3 Cluster Analysis -- 4 Factor Analysis -- 5 Conclusion -- References.
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|a Stock Price Forecast: Comparison of LSTM, HMM, and Transformer -- 1 Introduction -- 2 Related Works -- 2.1 Stock Price Prediction -- 2.2 Transformer Deep Learning Model -- 3 Method -- 3.1 LSTM Model -- 3.2 HMM Model -- 3.3 Transformer -- 4 Discussion -- 5 Conclusion -- References -- Personalized News Recommendations Based on NRMS -- 1 Introduction -- 2 Related Work -- 3 Personalized News Recommendations Core Issues -- 4 News Recommendation Base on NRMS -- 4.1 Introduction to the NRMS Model -- 4.2 News Feature Extraction -- 4.3 User Feature Extraction -- 4.4 Personalized Content Matching -- 4.5 Model Training -- 4.6 Experiments -- 5 Research and Outlook -- 6 Summary -- References -- Research on the Design of Community Creation Based on Analytic Hierarchy Process Under Social Innovation -- 1 Introduction -- 2 Research Subjects - Machang Community -- 3 Requirements Collation and Importance Analysis -- 3.1 Establishment of Demand Indicators Based on Affinity Diagram -- 3.2 Hierarchical Analysis of the Weighting of Each Requirement Element -- 4 Design for Community Creation Based on Social Innovation -- 4.1 Physical Space - Renewal of Shared Public Spaces -- 4.2 Social Space - Community Service System Building -- 5 Conclusion -- References -- Stock Trading Strategy Developing Based on Reinforcement Learning -- 1 Introduction -- 2 Preliminary Knowledge -- 2.1 Reinforcement Learning on Markov Decision Process -- 2.2 PPO Algorithm -- 3 Algorithm Design -- 3.1 Data Preprocessing -- 3.2 Environment Setting -- 3.3 The Risk Averse Agent Setting -- 4 Experiment Results -- 4.1 The Ordinary Agent -- 4.2 The Risk-Averse Agent -- 5 Conclusion -- References -- Research on New Investment Demand Forecast of Power Grid Company After Investment Interface Extension -- 1 Introduction -- 2 Overview of Relevant Methods -- 2.1 Support Vector Machine.
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|a 2.2 Grey Relational Analysis -- 3 GRA-SVM Model for Forecasting New Investment Demand of Power Grid Company -- 3.1 Basic Principles of Building the GRA-SVM Model -- 3.2 Basic Algorithm of the GRA-SVM Model -- 4 Case Study -- 4.1 Construct a Factor Index System -- 4.2 Use the GRA Method to Delete Factor Indexes -- 4.3 Use SVM to Build a Forecast Model -- 5 Conclusion -- References -- The Spread of TikTok's Influence Worldwide from the View of the SIRO Model -- 1 Introduction -- 2 Application of SIR and Its Variants to the Spread of TikTok -- 2.1 SIR -- 2.2 SICR -- 2.3 SEIR -- 2.4 SIS -- 3 The SIRO Model -- 4 Theoretical Analysis -- 4.1 The Basic Reproduction Number -- 4.2 Discussion -- 5 Conclusion -- References -- Research on E-Sports User Preferences and User Characteristics of Student Groups in Anhui Province -- 1 Introduction -- 2 Sampling and Data Processing -- 3 Statistical Modeling Analysis -- 3.1 Cluster Analysis -- 3.2 Text Sentiment Analysis -- 4 Conclusion and Suggestion -- References -- Study on the Development Status and Influencing Factors of Traditional Chinese Medicine Service Ability in Jilin Province Based on Logistic Regression Algorithm -- 1 Introduction -- 2 Sample and Method -- 2.1 Sample -- 2.2 Measure -- 2.3 Model Algorithm -- 2.4 Statistical Method -- 3 Result -- 3.1 Basic Conditions of Survey Respondents and Results of Single Factor Analysis of Primary Chinese Medicine Service Ability -- 3.2 Analysis of Primary Chinese Medicine Service Ability Based on Logistic Regression Algorithm -- 4 Discussion -- 4.1 Hardware Facilities of Grassroots TCM Service Institutions Need to Be Upgraded -- 4.2 The Professional Level of TCM Practitioners Needs to Be Improved -- 4.3 Pressure on Outpatient Clinics of Primary Care TCM Doctors -- 4.4 Inadequate Training System for Primary Chinese Medicine Physicians -- 5 Conclusion -- References.
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|a H&.
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|a Description based on publisher supplied metadata and other sources.
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|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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|a Electronic books.
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1 |
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|a Abedin, Mohammad Zoynul.
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| 700 |
1 |
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|a Wan Ngah, Wan Azman Saini Bin.
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| 776 |
0 |
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|i Print version:
|a Yen, Jerome
|t Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
|d Dordrecht : Atlantis Press (Zeger Karssen),c2023
|z 9789464631975
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| 797 |
2 |
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|a ProQuest (Firm)
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| 830 |
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0 |
|a Atlantis Highlights in Computer Sciences Series
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| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=30666705
|z Click to View
|
