Knowledge Technology and Systems Toward Establishing Knowledge Systems Science /

Knowledge Technology and Systems Toward Establishing Knowledge Systems Science /

Podrobná bibliografie
Korporativní autor: SpringerLink (Online service)
Další autoři: Nakamori, Yoshiteru (Editor)
Shrnutí:IX, 287 p. 1 illus.
text
Jazyk:angličtina
Vydáno: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Vydání:1st ed. 2023.
Edice:Translational Systems Sciences, 34
Témata:
Knowledge management.
Technological innovations.
System theory.
Control theory.
Quantitative research.
Big data.
Machine learning.
Knowledge Management.
Innovation and Technology Management.
Systems Theory, Control.
Data Analysis and Big Data.
Big Data.
Machine Learning.
On-line přístup:https://doi.org/10.1007/978-981-99-1075-5
Médium: Elektronický zdroj Kniha
Obsah:
  • 1. Defining Knowledge Technology and Systems
  • 2. Big Data Analytics in Healthcare
  • 3. Knowledge Discovery from Online Review
  • 4. Machine Learning for Solving Unstructured Problems
  • 5. Qualitative Modeling to Extract Knowledge for Problem Structuring
  • 6. Agent-Based Simulation of Low Carbon Emissions Product Diffusion
  • 7. Emotional Product Development: Concepts, Framework, and Methodologies
  • 8. Knowledge Synthesis and Promotion
  • 9. Group Decision Making.

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