Big data an art of decision making /
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| Main Author: | |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London, UK : Hoboken :
ISTE Ltd. ; Wiley,
2020.
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| Series: | Intellectual technologies set ;
v. 7. |
| Subjects: | |
| Online Access: | Connect to this title online (unlimited simultaneous users allowed; 325 uses per year) |
Table of Contents:
- Machine generated contents note: ch. 1 From Trace to Web Data: An Ontology of the Digital Footprint
- 1.1. epistemology of the cultural sciences
- 1.2. footprint in evidential sciences
- 1.3. log or activity history
- 1.4. digital footprint as a web log
- 1.5. intentionality of digital footprints
- 1.6. Data as theoretically-loaded footprints
- ch. 2 Toward an Epistemic Continuity Anchored in the Cultural Sciences
- 2.1. Digital technology in the cultural sciences
- 2.2. Field and corpus: two modes of access to reality
- 2.3. Virtual methods, a reconstruction of access to the field
- 2.4. challenges of the technical revolution of the text
- 2.5. From the web as an object to the web as a corpus
- 2.6. Conclusion
- ch. 3 Status of Computation in Data Sciences
- 3.1. Making data computable
- 3.2. field of computability
- 3.3. Computational thinking
- 3.4. Computation in the natural sciences
- 3.5. From exploratory analysis to data mining
- 3.6. institutional and theoretical melting pot of data science
- 3.7. contribution of artificial intelligence
- 3.8. Conclusion
- ch. 4 Practical Big Data Use Case
- 4.1. Presentation of the case study
- 4.2. Customer experience and coding of feedback
- 4.3. From the representative approach to the "big data" project
- 4.4. Data preparation
- 4.5. Design of the coding plan
- 4.6. constitution of linguistic resources
- 4.7. Constituting the coding plan
- 4.8. Visibility of the language activity
- 4.9. Storytelling and interpretation of the data
- 4.10. Conclusion
- ch. 5 From Narratives to Systems: How to Shape and Share Data Analysis
- 5.1. Two epistemic configurations
- 5.2. genesis of systems
- 5.3. Conclusion
- ch. 6 Art of Data Visualization
- 6.1. Graphic semiology
- 6.2. Data cartography
- 6.3. Representation as evidence
- 6.4. visual language of design in system configuration
- 6.5. Materialization and interpretation of recommendations
- ch. 7 Knowledge and Decision
- 7.1. Big data, a pragmatic epistemology?
- 7.2. Toward gradual validity of knowledge
- 7.3. Deciding, knowing and measuring.