Buch, Englisch, 258 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 540 g
Application and Analytics
Buch, Englisch, 258 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 540 g
Reihe: Advances in Computational Collective Intelligence
ISBN: 978-1-032-38687-4
Verlag: CRC Press
Social media and crowdsourcing are important tools for solving complex problems. The benefit of crowdsourcing is that it leverages the power of human intelligence cost effectively and with less time. Social Media and Crowdsourcing: Application and Analytics examines the concepts of social media and crowdsourcing as well as their analytical aspects. It explores how these technologies contribute to the real world and examines such applications as promoting social good, agriculture, healthcare, tourism, disaster management, education, crime control, and cultural heritage. The book also looks at ethical issues in crowdsourcing and future scenarios and challenges for policy. Highlights of the book include the following:
- A crowdsourcing application in agriculture
- Crowdsourcing outline for a contemporary aided medicinal backup system
- Crowdsourcing-based recommendation in the tourism industry
- Crowdsourcing mechanisms for reviving cultural heritage
Expanding the overarching concept of utilizing social media and crowdsourcing to solve various real-life problems, this book discusses how to bring together the wisdom of crowds for various decision-making problems in agriculture, disaster management, and healthcare. It addresses the various ethical issues arising out of various crowdsourcing-based applications. It puts forward diverse methodologies to involve crowdsourcing in education to implement new strategies to enhance learning outcomes. This book also addresses various problem-solving techniques for recommender applications in the travel and tourism industry.
Providing a systematic discussion of the many sectors using crowdsourcing as an essential part of social innovation, this book is a theoretical and methodological look at the application of social media.
Zielgruppe
Postgraduate
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Mathematik | Informatik EDV | Informatik Digital Lifestyle Internet, E-Mail, Social Media
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
Weitere Infos & Material
Preface. Chapter 1 Introduction to Crowdsourcing. Chapter 2 Crowdsourcing through a Digital Ecosystem: A Futuristic Tool of Remote Behavior Modification. Chapter 3 Crowdsourcing Applications in Agriculture. Chapter 4 Crowdsourcing Outline for Contemporary Aided Medicinal Backup Systems. Chapter 5 Crowdsourcing-Based Recommendations in Travel and Tourism Market: A Review. Chapter 6 A Comparison of Capability Measurement between Various Incident Handling and Reporting Schemas. Chapter 7 Performance Evaluation of Support Vector Machine Kernel Functions on Students’ Educational Data Set. Chapter 8 Survey of Sensors and Techniques in Microwave Imaging for Through-Wall Imaging for Detecting Trapped Humans under Rubble. Chapter 9 A Comparative Study on Available Fake Detection Apps. Chapter 10 Crowdsourcing Mechanisms for Reviving Cultural Heritage. Chapter 11 Ethical Issues in Crowdsourcing.