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What is Anomaly

Encyclopedia of Business Analytics and Optimization
Datum that deviates from the norm (often used interchangeably with “outlier”).
Published in Chapter:
Outlier Detection in Big Data
Victoria J. Hodge (University of York, UK)
Copyright: © 2014 |Pages: 10
DOI: 10.4018/978-1-4666-5202-6.ch157
Outlier detection (or anomaly detection) is a fundamental task in data mining. Outliers are data that deviate from the norm and outlier detection is often compared to “finding a needle in a haystack.” However, the outliers may generate high value if they are found, value in terms of cost savings, improved efficiency, compute time savings, fraud reduction and failure prevention. Detection can identify faults before they escalate with potentially catastrophic consequences. Big Data refers to large, dynamic collections of data. These vast and complex data appear problematic for traditional outlier detection methods to process but, Big Data provides considerable opportunity to uncover new outliers and data relationships. This chapter highlights some of the research issues for outlier detection in Big Data and covers the solutions used and research directions taken along with an analysis of some current outlier detection approaches for Big Data applications.
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More Results
Threat Detection in Cyber Security Using Data Mining and Machine Learning Techniques
An occurrence of a point in the feature space that is considered to be an outlier from the region of normal behaviour.
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Anomaly Detection in Medical Image Analysis
Deviation or departure from the normal or common order, form or rule; one that is peculiar, irregular, abnormal or difficult to classify. In image analysis, anomalies are unknown targets, which are relatively small and with low probability of occurrence. Tumors, micro-calcifications, and vascular irregularities are examples of anomalies in the medical image analysis framework.
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A Hybrid Computational Intelligence Algorithm to Transform Traditional IPC Into a Smart Camera
Anomaly is a person or thing or situation that deviates from normal appearance or happening.
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Early Detection and Recovery Measures for Smart Grid Cyber-Resilience
A deviation from the normal behavior (also called abnormal) of the system or user.
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Detecting Intrusions in Cyber-Physical Systems of Smart Cities: Challenges and Directions
An abnormal behavior of a system or user that is deviating from the normal set of usage. An anomaly can be an indication of a malfunction, an error or more importantly an intrusion.
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Full Text Chapter Download: US $37.50 Add to Cart
Full Text Chapter Download: US $37.50 Add to Cart
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