Anomaly Detection : Techniques and Applications
- المؤلف
- Saira Banu
- سنة النشر
- 2021
- الناشر
- Nova Science
- لغة الملف
- انكليزي
- نوع الملف
- Book
- تصنيف الكتاب
- Computer Science
- تحميل الكتاب قراءة الكتاب
When information in the data warehouse is processed, it follows a definite pattern. An unexpected deviation in the data pattern from the usual behavior is called an anomaly. The anomaly in the data is also referred to as noise, outlier, spammer, deviations, novelties and exceptions. Identification of the rare items, events, observations, patterns which raise suspension by differing significantly from the majority of data is called anomaly detection. With progress in the technologies and the widespread use of data for the purpose for business the increase in the spams faced by the individuals and the companies are increasing day by day. This noisy data has boomed as a major problem in various areas such as Internet of Things, web service, Machine Learning, Artificial Intelligence, Deep learning, Image Processing, Cloud Computing, Audio processing, Video Processing, VoIP, Data Science, Wireless Sensor etc. Identifying the anomaly data and filtering them before processing is a major challenge for the data analyst. This anomaly is unavoidable in all areas of research. This book covers the techniques and algorithms for detecting the deviated data.
الكلمات المفتاحية: Computer security / Anomaly detection (Computer security) / Computer networks Monitoring / Computer networks Security measures / Détection danomalies (Sécurité informatique) / Réseaux dordinateurs Sécurité Mesures / Réseaux dordinateurs Surveillance / Internet of Things / Web service / Machine Learning / Artificial intelligence / Deep learning / Image Processing / Cloud Computing / Audio processing / Video Processing / VoIP / Data Science / Wireless Sensor
