{
"item_title" : "Data-Driven Mining, Learning and Analytics for Secured Smart Cities",
"item_author" : [" Chinmay Chakraborty", "Jerry Chun-Wei Lin", "Mamoun Alazab "],
"item_description" : "1. Smart City Ecosystem - An Introduction.- 2. Datafication for secured smart cities.- 3. Secured big data infrastructure services.- 4. Intelligent infrastructure of secured smart cities.- 5. Cyber-physical systems for secured smart cities.- 6. Blockchain for smart cities.- 7. Context-aware security and privacy of smart cities.- 7. Privacy and social Issues in smart cities.- 8. Sensor and RFID applications of smart cities.- 9. Advanced data mining for secured smart cities.- 10. Big data for secured smart cities.- 11. Data analytics tools and technologies for smart cities.- 12. Machine learning and AI for secured smart cities.",
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Data-Driven Mining, Learning and Analytics for Secured Smart Cities : Trends and Advances
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Overview
1. Smart City Ecosystem - An Introduction.- 2. Datafication for secured smart cities.- 3. Secured big data infrastructure services.- 4. Intelligent infrastructure of secured smart cities.- 5. Cyber-physical systems for secured smart cities.- 6. Blockchain for smart cities.- 7. Context-aware security and privacy of smart cities.- 7. Privacy and social Issues in smart cities.- 8. Sensor and RFID applications of smart cities.- 9. Advanced data mining for secured smart cities.- 10. Big data for secured smart cities.- 11. Data analytics tools and technologies for smart cities.- 12. Machine learning and AI for secured smart cities.
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Details
- ISBN-13: 9783030721411
- ISBN-10: 3030721418
- Publisher: Springer
- Publish Date: April 2022
- Dimensions: 9.21 x 6.14 x 0.81 inches
- Shipping Weight: 1.22 pounds
- Page Count: 383
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