A Framework for Anomaly Detection withApplications to Sequences
Anomaly detection is an important issue in data mining and analysis, with applications in almost every area of science, technology and business that involves data collection.The development of general, automated anomaly detection methods could therefore have a large impact on data analysis across ma...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för datavetenskap och kommunikation (CSC)
2014
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-156418 |