Springer
Advances on Data Mining (English, Petra Perner)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9783642231834 |
| ISBN-10 | 3642231837 |
| Author | Petra Perner |
Product Description
About the Book
This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA in September 2011. The 22 revised full papers presented were carefully reviewed and selected from 100 submissions. The papers are organized in topical sections on data mining in medicine and agriculture, data mining in marketing, data mining for Industrial processes and in telecommunication, Multimedia Data Mining, the…
ISBN: 9783642231834
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Advances on Data Mining
- ·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
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Is Advances on Data Mining available in English?
Advances on Data Mining is available in English on GlowMirror.
Who is the author of Advances on Data Mining?
Advances on Data Mining is authored by Petra Perner.
Who published Advances on Data Mining?
Advances on Data Mining is published by Springer.
How many pages does Advances on Data Mining have?
Page count information for Advances on Data Mining is available in the specifications section of this page.
How long does it take to read Advances on Data Mining?
At an average reading speed of 250 words per minute, reading Advances on Data Mining takes a few hours to a few days depending on reading pace.
What is Advances on Data Mining about?
About the Book
This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA in September 2011. The 22 revised full papers presented were carefully reviewed and selected from 100 submissions. The papers are organized in topical se...
Is Advances on Data Mining suitable for beginners?
Whether Advances on Data Mining 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.
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Advances on Data Mining is from the Springer edition/year. Check the specifications section for full edition details.
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