MARC 主機 00000nam a2200361 a 4500
001 1081021278
003 IGIG
005 20191023145743.0
006 m o d
007 cr cn
008 180907s2018 pau fsb 001 0 eng d
010 |z2017059210
020 9781522558538 (e-book)
020 9781522558521 (hardback)
035 (OCoLC)1051151139
040 CaBNVSL|beng|cCaBNVSL|dCaBNVSL
050 00 QA76.618|b.N376 2018e
082 00 006.3/823|223
245 00 Nature-inspired algorithms for big data frameworks
|h[electronic resource] /|cHema Banati, Shikha Mehta, and
Parmeet Kaur, editors
260 Hershey, Pennsylvania :|bIGI Global,|c2018
300 1 online resource (xxii, 412 p.)
504 Includes bibliographical references and index
505 0 Section 1. Nature-inspired algorithms for high dimensions.
Chapter 1. Deep learning for big data analytics ; Chapter
2. Genetic algorithm based pre-processing strategy for
high dimensional micro-array gene classification:
application of nature inspired intelligence ; Chapter 3.
Subspace clustering of high dimensional data using
differential evolution ; Chapter 4. Nature inspired
feature selector for effective data classification in big
data frameworks -- Section 2. Nature-inspired approaches
for complex optimizations. Chapter 5. Motion planning of
non-holonomic wheeled robots using modified bat algorithm
; Chapter 6. Application of nature-inspired algorithms for
sensing error optimisation in dynamic environment ;
Chapter 7. Wolf-swarm colony for signature gene selection
using weighted objective method ; Chapter 8. Scheduling
data intensive scientific workflows in cloud environment
using nature inspired algorithms ; Chapter 9. PSO-based
antenna pattern synthesis: a paradigm for secured data
communications ; Chapter 10. Nature-inspired algorithms in
wireless sensor networks ; Chapter 11. Aircraft
aerodynamic parameter estimation using intelligent
estimation algorithms -- Section 3. Nature-inspired
solutions for web analytics. Chapter 12. Analysis of
multiplex social networks using nature-inspired algorithms
; Chapter 13. Pedagogical software agents for personalized
e-learning using soft computing techniques ; Chapter 14.
Graph and neural network-based intelligent conversation
system ; Chapter 15. Big data analytics using apache hive
to analyze health data
506 Restricted to subscribers or individual electronic text
purchasers
520 3 "This book focuses on application of nature-inspired
algorithms for handling issues and challenges posed by big
data in diverse environments. It highlights the usability
and performance measures of these techniques in dealing
with data related problems of emerging areas. It also
explore the role of machine learning techniques for the
optimization and learning involving data intensive
applications"--Provided by publisher
650 0 Evolutionary programming (Computer science)
650 0 Evolutionary computation
650 0 Computer algorithms
650 0 Big data
700 1 Banati, Hema,|d1970-|eeditor
700 1 Mehta, Shikha,|eeditor
700 1 Kaur, Parmeet,|d1976-|eeditor
856 40 |uhttp://services.igi-global.com/resolvedoi/
resolve.aspx?doi=10.4018/978-1-5225-5852-1
912 InfoSci|b110808274615
