Springer
Next Generation Data Technologies for Collective Computational Intelligence (English, Nik Bessis | Fatos Xhafa)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9783642203435 |
| ISBN-10 | 3642203434 |
| Author | Nik Bessis | Fatos Xhafa |
Product Description
Here on GlowMirror, you'll find Next Generation Data Technologies for Collective Computational Intelligence filed under Springer -- everything you need to know is covered below.
About the Book
Blending theory with practice, this book brings together a variety of next-generation data technologies used to capture, integrate, analyze, mine, annotate and visualize distributed data in a manner that is meaningful and collaborative for the organizatio
ISBN: 9783642203435
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Next Generation Data Technologies for Collective Computational Intelligence
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Students and professionals interested in Springer, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Frequently Asked Questions
What is the price of Next Generation Data Technologies for Collective Computational Intelligence?
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Is Next Generation Data Technologies for Collective Computational Intelligence available in English?
Next Generation Data Technologies for Collective Computational Intelligence is available in English on GlowMirror.
Who is the author of Next Generation Data Technologies for Collective Computational Intelligence?
Next Generation Data Technologies for Collective Computational Intelligence is authored by Nik Bessis | Fatos Xhafa.
Who published Next Generation Data Technologies for Collective Computational Intelligence?
Next Generation Data Technologies for Collective Computational Intelligence is published by Springer.
How many pages does Next Generation Data Technologies for Collective Computational Intelligence have?
Page count information for Next Generation Data Technologies for Collective Computational Intelligence is available in the specifications section of this page.
How long does it take to read Next Generation Data Technologies for Collective Computational Intelligence?
At an average reading speed of 250 words per minute, reading Next Generation Data Technologies for Collective Computational Intelligence takes a few hours to a few days depending on reading pace.
What is Next Generation Data Technologies for Collective Computational Intelligence about?
About the Book
Blending theory with practice, this book brings together a variety of next-generation data technologies used to capture, integrate, analyze, mine, annotate and visualize distributed data in a manner that is meaningful and collaborative for the organizatio
ISBN: 9783642203435...
Is Next Generation Data Technologies for Collective Computational Intelligence suitable for beginners?
Whether Next Generation Data Technologies for Collective Computational Intelligence is suitable for beginners depends on your background in Springer. Review the product description and specifications above for details on the target audience and difficulty level.
What edition is Next Generation Data Technologies for Collective Computational Intelligence?
Next Generation Data Technologies for Collective Computational Intelligence is from the Springer edition/year. Check the specifications section for full edition details.
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Next Generation Data Technologies for Collective Computational Intelligence listed on GlowMirror is a brand new book in good condition.
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