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Anomaly Detection Principles and Algorithms (Terrorism, Security, and Computation)
Item #: 17176771

Anomaly Detection Principles and Algorithms (Terrorism, Security, and Computation)

Item #: 17176771

MUR 6155

MUR 10010

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What Stands Out

Comprehensive Framework
Offers an extensive examination of anomaly detection in various contexts including terrorism and security, making it a vital resource for researchers and practitioners in these critical fields.
Algorithmic Insights
Details cutting-edge algorithms and methodologies, empowering readers with practical approaches and advanced techniques to effectively detect anomalies in security-sensitive environments.
Real-World Applications
Covers real-world case studies and applications, connecting theoretical principles to practical usage, providing valuable insights into enhancing security measures against terrorism.

Product Details

Get the 1st edition of Anomaly Detection Principles and Algorithms at Ubuy Mauritania. Explore terrorism, security, and computation with this comprehensive book.
Publisher Springer
Publication date January 25, 2018
Edition 2017th
Language English
Print length 239 pages
ISBN-10 3319675249
ISBN-13 978-3319675244
Item Weight 1.35 pounds (610 grams)
Dimensions 6.25 x 0.75 x 9.25 inches (15.9 x 1.9 x 23.5 cm)
Part of series Terrorism, Security, and Computation

Who Should Buy?

Suitable For
  • Security Analysts

    Security analysts will benefit from practical insights on detecting threats using advanced anomaly detection techniques.

  • Data Scientists

    Data scientists involved in security research can utilize algorithms detailed in the book for anomaly detection applications.

  • Academic Researchers

    Academic researchers focusing on security and computation can leverage the comprehensive theoretical frameworks discussed.

Not Suitable For
  • General Readers

    Individuals without a technical background may find the content overly complex and difficult to understand.

Product Description

Anomaly Detection Principles and Algorithms (Terrorism, Security, and Computation)

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Computer Vision & Pattern Recognition Editorial Review

The book provides a solid foundation on anomaly detection from a mathematical perspective. However, it lacks practical examples and is not suitable for teaching at the undergraduate level. It is a useful resource for projects and includes a comprehensive bibliography.

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Pros

  • Provides essential concepts and math formulas
  • Clear and well-written
  • Includes useful algorithms
  • Explains theory in a simple way
  • Comprehensive bibliography

Cons

  • Lacks practical examples

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