Dehuri, Satchidananda
Techniques and Environments for Big Data Analysis
1. Introduction to Big Data Analysis
Kiranjit Pattnaik, Bhabani Shankar Prasad Mishra
2. Parallel Environments
Bhabani Shankar Prasad Mishra, Santwana Sagnika
3. A Deep Dive into the Hadoop World to Explore Its Various Performances
Dipayan Dev, Ripon Patgiri
4. Natural Language Processing and Machine Learning for Big Data
Joy Mustafi
5. Big Data and Cyber Foraging: Future Scope and Challenges
Chhabi Rani Panigrahi, Mayank Tiwary, Bibudhendu Pati, Himansu Das
6. Parallel GA in Big Data Analysis
Santwana Sagnika, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri
7. Evolutionary Algorithm Based Techniques to Handle Big Data
Ghosh Sanchita, Desarkar Anindita
8. Statistical and Evolutionary Feature Selection Techniques Parallelized Using MapReduce Programming Model
M. Janaki Meena, S. P. Syed Ibrahim
9. The Role of Grid Technologies: A Next Level Combat with Big Data
Manoj Kumar Mishra, Yashwant Singh Patel
Nyckelord: Engineering, Computational Intelligence, Data Mining and Knowledge Discovery, Artificial Intelligence (incl. Robotics)
- Utgivare
- Dehuri, Satchidananda
- Kim, Euiwhan
- Mishra, Bhabani Shankar Prasad
- Wang, Gi-Name
- Utgivare
- Springer
- Utgivningsår
- 2016
- Språk
- en
- Utgåva
- 1st ed. 2016
- Serie
- Studies in Big Data
- Sidantal
- 11 sidor
- Kategori
- Teknologi, energi, trafik
- Format
- E-bok
- eISBN (PDF)
- 9783319275208
- Tryckt ISBN
- 978-3-319-27518-5