Information Science Reference
Scalable Fuzzy Algorithms for Data Management and Analysis (English, Anne Laurent | Marie-Jeanne Lesot)
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Specifications
| Publisher | Information Science Reference |
| Language | English |
| ISBN-13 | 9781605668581 |
| ISBN-10 | 1605668583 |
| Author | Anne Laurent | Marie-Jeanne Lesot |
Product Description
About the Book
Today, fuzzy methods provide tools to handle data sets in relevant, robust and interpretable ways, making it possible to model and exploit imprecision and uncertainty in data modeling and data mining. Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design presents innovative, cutting-edge fuzzy techniques that highlight the relevance of fuzziness for huge data sets in the perspective of scalability issues, from both a theo…
ISBN: 9781605668581
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Scalable Fuzzy Algorithms for Data Management and Analysis
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Information Science Reference
Who Should Read This
Science students, researchers, and curious minds of all ages.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Scalable Fuzzy Algorithms for Data Management and Analysis is available in English on GlowMirror.
Who is the author of Scalable Fuzzy Algorithms for Data Management and Analysis?
Scalable Fuzzy Algorithms for Data Management and Analysis is authored by Anne Laurent | Marie-Jeanne Lesot.
Who published Scalable Fuzzy Algorithms for Data Management and Analysis?
Scalable Fuzzy Algorithms for Data Management and Analysis is published by Information Science Reference.
How many pages does Scalable Fuzzy Algorithms for Data Management and Analysis have?
Page count information for Scalable Fuzzy Algorithms for Data Management and Analysis is available in the specifications section of this page.
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At an average reading speed of 250 words per minute, reading Scalable Fuzzy Algorithms for Data Management and Analysis takes a few hours to a few days depending on reading pace.
What is Scalable Fuzzy Algorithms for Data Management and Analysis about?
About the Book
Today, fuzzy methods provide tools to handle data sets in relevant, robust and interpretable ways, making it possible to model and exploit imprecision and uncertainty in data modeling and data mining. Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design pre...
Is Scalable Fuzzy Algorithms for Data Management and Analysis suitable for beginners?
Whether Scalable Fuzzy Algorithms for Data Management and Analysis is suitable for beginners depends on your background in Information Science Reference. Review the product description and specifications above for details on the target audience and difficulty level.
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Scalable Fuzzy Algorithms for Data Management and Analysis is from the Information Science Reference edition/year. Check the specifications section for full edition details.
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