The data industry the business and economics of information and big data
Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces...
| Other Authors: | |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Hoboken, New Jersey :
Wiley
2016.
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| Edition: | 1st edition |
| Series: | THEi Wiley ebooks.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630344106719 |
Table of Contents:
- cover; Title Page; Copyright; Dedication; Contents; Preface; Chapter 1 What is Data Industry?; 1.1 Data; 1.1.1 Data Resources; 1.1.2 The Data Asset; 1.2 Industry; 1.2.1 Industry Classification; 1.2.2 The Modern Industrial System; 1.3 Data Industry; 1.3.1 Definitions; 1.3.2 An Industry Structure Study; 1.3.3 Industrial Behavior; 1.3.4 Market Performance; Chapter 2 Data Resources; 2.1 Scientific Data; 2.1.1 Data-Intensive Discovery in the Natural Sciences; 2.1.2 The Social Sciences Revolution; 2.1.3 The Underused Scientific Record; 2.2 Administrative Data; 2.2.1 Open Governmental Affairs Data
- 2.2.2 Public Release of Administrative Data2.2.3 A ""Numerical"" Misunderstanding in Governmental Affairs; 2.3 Internet Data; 2.3.1 Cyberspace: Data of the Sole Existence; 2.3.2 Crawled Fortune; 2.3.3 Forum Opinion Mining; 2.3.4 Chat with Hidden Identities; 2.3.5 Email: The First Type of Electronic Evidence; 2.3.6 Evolution of the Blog; 2.3.7 Six Degrees Social Network; 2.4 Financial Data; 2.4.1 Twins on News and Financial Data; 2.4.2 The Annoyed Data Center; 2.5 Health Data; 2.5.1 Clinical Data: EMRs, EHRs, and PHRs; 2.5.2 Medicare Claims Data Fraud and Abuse Detection
- 2.6 Transportation Data2.6.1 Trajectory Data; 2.6.2 Fixed-Position Data; 2.6.3 Location-Based Data; 2.7 Transaction Data; 2.7.1 Receipts Data; 2.7.2 e-Commerce Data; Chapter 3 Data Industry Chain; 3.1 Industrial Chain Definition; 3.1.1 The Meaning and Characteristics; 3.1.2 Attribute-Based Categories; 3.2 Industrial Chain Structure; 3.2.1 Economic Entities; 3.2.2 Environmental Elements; 3.3 Industrial Chain Formation; 3.3.1 Value Analysis; 3.3.2 Dimensional Matching; 3.4 Evolution of Industrial Chain; 3.5 Industrial Chain Governance; 3.5.1 Governance Patterns; 3.5.2 Instruments of Governance
- 3.6 The Data Industry Chain and its Innovation Network3.6.1 Innovation Layers; 3.6.2 A Support System; Chapter 4 Existing Data Innovations; 4.1 Web Creations; 4.1.1 Network Writing; 4.1.2 Creative Designs; 4.1.3 Bespoke Style; 4.1.4 Crowdsourcing; 4.2 Data Marketing; 4.2.1 Market Positioning; 4.2.2 Business Insights; 4.2.3 Customer Evaluation; 4.3 Push Services; 4.3.1 Targeted Advertising; 4.3.2 Instant Broadcasting; 4.4 Price Comparison; 4.5 Disease Prevention; 4.5.1 Tracking Epidemics; 4.5.2 Whole-Genome Sequencing; Chapter 5 Data Services in Multiple Domains; 5.1 Scientific Data Services
- 5.1.1 Literature Retrieval Reform5.1.2 An Alternative Scholarly Communication Initiative; 5.1.3 Scientific Research Project Services; 5.2 Administrative Data Services; 5.2.1 Police Department; 5.2.2 Statistical Office; 5.2.3 Environmental Protection Agency; 5.3 Internet Data Services; 5.3.1 Open Source; 5.3.2 Privacy Services; 5.3.3 People Search; 5.4 Financial Data Services; 5.4.1 Describing Correlations; 5.4.2 Simulating Market-Makers' Behaviors; 5.4.3 Forecasting Security Prices; 5.5 Health Data Services; 5.5.1 Approaching the Healthcare Singularity; 5.5.2 New Drug of Launching Shortcuts
- 5.5.3 Monitoring in Chronic Disease
