Semi-supervised anomaly detection algorithms: A comparative summary and future research directions

A one-class classification approach for bot detection on Twitter

(2020) Jorge Rodríguez-Ruiz et al.   COMPUTERS & SECURITY

One-class support vector classifiers: A survey

(2020) Shamshe Alam et al.   KNOWLEDGE-BASED SYSTEMS

Incremental one-class classifier based on convex–concave hull

(2020) Javad Hamidzadeh et al.   PATTERN ANALYSIS AND APPLICATIONS

Fraud detection: A systematic literature review of graph-based anomaly detection approaches

(2020) Tahereh Pourhabibi et al.   DECISION SUPPORT SYSTEMS

A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges

(2020) Octavio Loyola-González et al.   Journal of Grid Computing

The search of conditional outliers

(2019) Eduarda Portela et al.   Intelligent Data Analysis

Anomaly Detection Methods for Categorical Data

(2019) Ayman Taha et al.   ACM COMPUTING SURVEYS

Gryphon: a semi-supervised anomaly detection system based on one-class evolving spiking neural network

(2019) Konstantinos Demertzis et al.   NEURAL COMPUTING & APPLICATIONS

IoTDS: A One-Class Classification Approach to Detect Botnets in Internet of Things Devices

(2019) Vitor Hugo Bezerra et al.   SENSORS

Learning Deep Features for One-Class Classification

(2019) Pramuditha Perera et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Detecting Gas Turbine Combustor Anomalies Using Semi-supervised Anomaly Detection with Deep Representation Learning

(2019) Weizhong Yan   Cognitive Computation

Effective and Generalizable Graph-Based Clustering for Faces in the Wild

(2019) Leonardo Chang et al.   Computational Intelligence and Neuroscience

Intelligent Approach to the Prediction of Changes in Biometric Attributes

(2019) Marcin Zalasinski et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Improved one-class classification using filled function

(2018) Javad Hamidzadeh et al.   APPLIED INTELLIGENCE

Incremental one-class classification on stationary data stream using two-quarter sphere

(2018) Mohammad Hadi Ghomanjani et al.   EXPERT SYSTEMS

Cluster validation using an ensemble of supervised classifiers

(2018) Jorge Rodríguez et al.   KNOWLEDGE-BASED SYSTEMS

Bagging-RandomMiner: a one-class classifier for file access-based masquerade detection

(2018) José Benito Camiña et al.   MACHINE VISION AND APPLICATIONS

iForest: Interpreting Random Forests via Visual Analytics

(2018) Xun Zhao et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

Online personal risk detection based on behavioural and physiological patterns

(2017) Ari Yair Barrera-Animas et al.   INFORMATION SCIENCES

PBC4cip: A new contrast pattern-based classifier for class imbalance problems

(2017) Octavio Loyola-González et al.   KNOWLEDGE-BASED SYSTEMS

A Semisupervised Approach to the Detection and Characterization of Outliers in Categorical Data

(2017) Dino Ienco et al.   IEEE Transactions on Neural Networks and Learning Systems

A Hybrid Semi-Supervised Anomaly Detection Model for High-Dimensional Data

(2017) Hongchao Song et al.   Computational Intelligence and Neuroscience

Robust one-class SVM for fault detection

(2016) Yingchao Xiao et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

(2016) Guilherme O. Campos et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Ensemble of One-Class Classifiers for Personal Risk Detection Based on Wearable Sensor Data

(2016) Jorge Rodríguez et al.   SENSORS

Automatic support vector data description

(2016) Reza Sadeghi et al.   SOFT COMPUTING

Bagging-TPMiner: a classifier ensemble for masquerader detection based on typical objects

(2016) Miguel Angel Medina-Pérez et al.   SOFT COMPUTING

A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data

(2016) Markus Goldstein et al.   PLoS One

Loda: Lightweight on-line detector of anomalies

(2015) Tomáš Pevný   MACHINE LEARNING

On the usefulness of one-class classifier ensembles for decomposition of multi-class problems

(2015) Bartosz Krawczyk et al.   PATTERN RECOGNITION

Filter Feature Selection for One-Class Classification

(2014) Luiz H N Lorena et al.   JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS

One-class classification: taxonomy of study and review of techniques

(2014) Shehroz S. Khan et al.   KNOWLEDGE ENGINEERING REVIEW

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

Study on the Impact of Partition-Induced Dataset Shift on $k$-Fold Cross-Validation

(2012) J. G. Moreno-Torres et al.   IEEE Transactions on Neural Networks and Learning Systems

Outlier detection

(2011) Xiaogang Su et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

(2011) Joaquín Derrac et al.   Swarm and Evolutionary Computation

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS

Data clustering: 50 years beyond K-means

(2009) Anil K. Jain   PATTERN RECOGNITION LETTERS

Evolutionary rule-based systems for imbalanced data sets

(2008) Albert Orriols-Puig et al.   SOFT COMPUTING