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Nature-Inspired Algorithms for Big Data Frameworks
Nature-Inspired Algorithms for Big Data Frameworks
Presents research on the methods and applications of extracting meaningful information from data using algorithms that are capable of handling the constraints of processing time, memory usage, and the dynamic nature of data. The book highlights a range of topics including genetic algorithms, data classification, and wireless sensor networks.
412 pages
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | December 14, 2018 |
ISBN13 | 9781522587521 |
Publishers | IGI Global |
Pages | 412 |
Dimensions | 1.02 kg |
Language | English |
Editor | Banati, Hema |
Editor | Kaur, Parmeet |
Editor | Mehta, Shikha |