Amanote Research
Register
Sign In
EXAD: A System for Explainable Anomaly Detection on Big Data Traces
doi 10.1109/icdmw.2018.00204
Full Text
Open PDF
Abstract
Available in
full text
Date
November 1, 2018
Authors
Fei Song
Yanlei Diao
Jesse Read
Arnaud Stiegler
Albert Bifet
Publisher
IEEE
Related search
Big Data for Anomaly Detection in Maritime Surveillance: Spatial AIS Data Analysis for Tankers
Zeszyty Naukowe Akademii Marynarki Wojennej
Object Detection for Big Data||Object Detection for Big Data
Anomaly Detection for Science DMZs Using System Performance Data
Anomaly Detection on Android System
International Journal of Innovative Technology and Exploring Engineering
Mechanics of Materials
Electronic Engineering
Civil
Structural Engineering
Electrical
Computer Science
Statistical Wavelet-Based Anomaly Detection in Big Data With Compressive Sensing
Eurasip Journal on Wireless Communications and Networking
Computer Networks
Computer Science Applications
Signal Processing
Communications
Robust Anomaly Detection on Unreliable Data
Data-Driven Anomaly Detection Based on a Bias Change
IFAC Proceedings Volumes
Structural Material Anomaly Detection System Using Water Chemistry Data.
Journal of Nuclear Science and Technology
High Energy Physics
Nuclear
Engineering
Nuclear Energy
Structural Material Anomaly Detection System Using Water Chemistry Data, (VI)
Journal of Nuclear Science and Technology
High Energy Physics
Nuclear
Engineering
Nuclear Energy