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"item_title" : "Anomaly Detection Principles and Algorithms",
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"item_description" : "Presents new algorithms for static and time series datasetsIntroduces new ensemble methods for improved anomaly detectionCovers rank-based anomaly detection algorithmsDiscusses the pros and cons of various approaches used for anomaly detection",
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Anomaly Detection Principles and Algorithms
Overview
Presents new algorithms for static and time series datasets
Introduces new ensemble methods for improved anomaly detection
Covers rank-based anomaly detection algorithms
Discusses the pros and cons of various approaches used for anomaly detection
This item is Non-Returnable
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Details
- ISBN-13: 9783319675244
- ISBN-10: 3319675249
- Publisher: Springer
- Publish Date: January 2018
- Dimensions: 9.21 x 6.14 x 0.56 inches
- Shipping Weight: 1.13 pounds
- Page Count: 217
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