Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework

Multi-Label Learning with Emerging New Labels

(2018) Yue Zhu et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

How do memory systems detect and respond to novelty?

(2018) Alex Kafkas et al.   NEUROSCIENCE LETTERS

Classification Under Streaming Emerging New Classes: A Solution Using Completely-Random Trees

(2017) Xin Mu et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

An anomaly detection system based on variable N-gram features and one-class SVM

(2017) Wael Khreich et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Using generative adversarial networks for improving classification effectiveness in credit card fraud detection

(2017) Ugo Fiore et al.   INFORMATION SCIENCES

Predicting Safety Risks in Deep Foundation Pits in Subway Infrastructure Projects: Support Vector Machine Approach

(2017) Ying Zhou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Estimation of rare event probabilities in power transmission networks subject to cascading failures

(2017) Francesco Cadini et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness

(2017) Usue Mori et al.   IEEE Transactions on Neural Networks and Learning Systems

Detecting rare events using Kullback–Leibler divergence: A weakly supervised approach

(2016) Jingxin Xu et al.   EXPERT SYSTEMS WITH APPLICATIONS

OCPAD: One class Naive Bayes classifier for payload based anomaly detection

(2016) Mayank Swarnkar et al.   EXPERT SYSTEMS WITH APPLICATIONS

Novelty detection of foreign objects in food using multi-modal X-ray imaging

(2016) Hildur Einarsdóttir et al.   FOOD CONTROL

Bayesian analysis of rare events

(2016) Daniel Straub et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Sequential anomalies: a study in the Railway Industry

(2016) Rita P. Ribeiro et al.   MACHINE LEARNING

One class proximal support vector machines

(2016) F. Dufrenois et al.   PATTERN RECOGNITION

Graph Embedded One-Class Classifiers for media data classification

(2016) Vasileios Mygdalis et al.   PATTERN RECOGNITION

High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning

(2016) Sarah M. Erfani et al.   PATTERN RECOGNITION

Rare-event probability estimation with adaptive support vector regression surrogates

(2016) J.-M. Bourinet   RELIABILITY ENGINEERING & SYSTEM SAFETY

MINAS: multiclass learning algorithm for novelty detection in data streams

(2015) Elaine Ribeiro de Faria et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Reverse Nearest Neighbors in Unsupervised Distance-Based Outlier Detection

(2015) Milos Radovanovic et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Bounding rare event probabilities in computer experiments

(2014) Yves Auffray et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Rare Event Probability Estimation in the Presence of Epistemic Uncertainty on Input Probability Distribution Parameters

(2014) Mathieu Balesdent et al.   METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY

A review of novelty detection

(2014) Marco A.F. Pimentel et al.   SIGNAL PROCESSING

One class random forests

(2013) Chesner Désir et al.   PATTERN RECOGNITION

Time-series data mining

(2012) Philippe Esling et al.   ACM COMPUTING SURVEYS

Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams

(2012) Mohammad M. Masud et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection

(2011) Keith Noto et al.   DATA MINING AND KNOWLEDGE DISCOVERY

A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data

(2011) Qinbao Song et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Robust statistics for outlier detection

(2011) Peter J. Rousseeuw et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Bayesian anomaly detection methods for social networks

(2010) Nicholas A. Heard et al.   Annals of Applied Statistics

Eruption time series statistically examined: Probabilities of future eruptions at Villarrica and Llaima Volcanoes, Southern Volcanic Zone, Chile

(2010) Yvonne Dzierma et al.   JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH

Improving SVM classification on imbalanced time series data sets with ghost points

(2010) Suzan Köknar-Tezel et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS

Bayesian networks based rare event prediction with sensor data

(2009) Seong-Pyo Cheon et al.   KNOWLEDGE-BASED SYSTEMS

Cascading failures in complex infrastructure systems

(2008) Leonardo Dueñas-Osorio et al.   STRUCTURAL SAFETY