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{ "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/072/141/3030721418_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data-Driven Mining, Learning and Analytics for Secured Smart Cities|Chinmay Chakraborty

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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