Related references
Note: Only part of the references are listed.Efficient subspace search in data streams
Edouard Fouche et al.
INFORMATION SYSTEMS (2021)
CELOF: Effective and fast memory efficient local outlier detection in high-dimensional data streams
Liang Chen et al.
APPLIED SOFT COMPUTING (2021)
MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams
Siddharth Bhatia et al.
PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2021 (WWW 2021) (2021)
A fast and accurate explicit kernel map
Deena P. Francis et al.
APPLIED INTELLIGENCE (2020)
MiFI-Outlier: Minimal infrequent itemset-based outlier detection approach on uncertain data stream
Saihua Cai et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Spatiotemporal Anomaly Detection Using Deep Learning for Real-Time Video Surveillance
Rashmika Nawaratne et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)
CFOF: A Concentration Free Measure for Anomaly Detection
Fabrizio Angiulli
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2020)
An anomaly detection framework for time-evolving attributed networks
Luguo Xue et al.
NEUROCOMPUTING (2020)
Real-Time Distance-Based Outlier Detection in Data Streams
Luan Tran et al.
PROCEEDINGS OF THE VLDB ENDOWMENT (2020)
Strategies for data stream mining method applied in anomaly detection
Ruxia Sun et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2019)
Recent Progress of Anomaly Detection
Xiaodan Xu et al.
COMPLEXITY (2019)
A Correlation-Change Based Feature Selection Method for IoT Equipment Anomaly Detection
Shen Su et al.
APPLIED SCIENCES-BASEL (2019)
Scaling Multi-Armed Bandit Algorithms
Edouard Fouche et al.
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2019)
Outlier Detection in Non-stationary Data Streams
Luan Tran et al.
SCIENTIFIC AND STATISTICAL DATABASE MANAGEMENT (SSDBM 2019) (2019)
Progress in Outlier Detection Techniques: A Survey
Hongzhi Wang et al.
IEEE ACCESS (2019)
On-Line Anomaly Detection With High Accuracy
Kun Xie et al.
IEEE-ACM TRANSACTIONS ON NETWORKING (2018)
A survey on deep learning for big data
Qingchen Zhang et al.
INFORMATION FUSION (2018)
A Comparison of Outlier Detection Techniques for High-Dimensional Data
Xiaodan Xu et al.
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS (2018)
A comparative evaluation of outlier detection algorithms: Experiments and analyses
Remi Domingues et al.
PATTERN RECOGNITION (2018)
Explaining anomalies in groups with characterizing subspace rules
Meghanath Macha et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2018)
Threaded ensembles of autoencoders for stream learning
Yue Dong et al.
COMPUTATIONAL INTELLIGENCE (2018)
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks
Wenchao Yu et al.
KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING (2018)
XSTREAM: Outlier Dete'x'ion in Feature-Evolving Data STREAMS
Emaad Manzoor et al.
KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING (2018)
The (black) art of runtime evaluation: Are we comparing algorithms or implementations?
Hans-Peter Kriegel et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2017)
LOMA: A local outlier mining algorithm based on attribute relevance analysis
Xujun Zhao et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Ensemble learning for data stream analysis: A survey
Bartosz Krawczyk et al.
INFORMATION FUSION (2017)
A survey on feature drift adaptation: Definition, benchmark, challenges and future directions
Jean Paul Barddal et al.
JOURNAL OF SYSTEMS AND SOFTWARE (2017)
Contextual information fusion for intrusion detection: a survey and taxonomy
Ahmed Aleroud et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2017)
Large-Scale Online Feature Selection for Ultra-High Dimensional Sparse Data
Yue Wu et al.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2017)
Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark
Sergio Ramirez-Gallego et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2017)
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Eddy Ilg et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Loda: Lightweight on-line detector of anomalies
Tomas Pevny
MACHINE LEARNING (2016)
Characterizing concept drift
Geoffrey I. Webb et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2016)
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
Guilherme O. Campos et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2016)
Fast Memory Efficient Local Outlier Detection in Data Streams
Mahsa Salehi et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2016)
A relevant subspace based contextual outlier mining algorithm
Jifu Zhang et al.
KNOWLEDGE-BASED SYSTEMS (2016)
Expected similarity estimation for large-scale batch and streaming anomaly detection
Markus Schneider et al.
MACHINE LEARNING (2016)
The Entropy and PCA Based Anomaly Prediction in Data Streams
Daocheng Hong et al.
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS: PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE KES-2016 (2016)
Minimal infrequent pattern based approach for mining outliers in data streams
C. Sweetlin Hemalatha et al.
EXPERT SYSTEMS WITH APPLICATIONS (2015)
Learning in Nonstationary Environments: A Survey
Gregory Ditzler et al.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2015)
Detecting anomalies from big network traffic data using an adaptive detection approach
Ji Zhang et al.
INFORMATION SCIENCES (2015)
Graph based anomaly detection and description: a survey
Leman Akoglu et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2015)
A survey on data stream clustering and classification
Hai-Long Nguyen et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2015)
INCREMENTAL PRINCIPAL COMPONENT ANALYSIS BASED OUTLIER DETECTION METHODS FOR SPATIOTEMPORAL DATA STREAMS
Alka Bhushan et al.
ISPRS INTERNATIONAL WORKSHOP ON SPATIOTEMPORAL COMPUTING (2015)
Anomaly detection in dynamic networks: a survey
Stephen Ranshous et al.
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS (2015)
A Survey on Concept Drift Adaptation
Joao Gama et al.
ACM COMPUTING SURVEYS (2014)
Anomaly detection in large-scale data stream networks
Duc-Son Pham et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2014)
Outlier Detection for Temporal Data: A Survey
Manish Gupta et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2014)
An outlier mining algorithm based on constrained concept lattice
Jifu Zhang et al.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2014)
Information-Theoretic Outlier Detection for Large-Scale Categorical Data
Shu Wu et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2013)
Anomaly Detection via Online Oversampling Principal Component Analysis
Yuh-Jye Lee et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2013)
A Family of Joint Sparse PCA Algorithms for Anomaly Localization in Network Data Streams
Ruoyi Jiang et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2013)
Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing
Narayanan Sundaram et al.
PROCEEDINGS OF THE VLDB ENDOWMENT (2013)
Anomaly Detection for Discrete Sequences: A Survey
Varun Chandola et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2012)
Density-preserving projections for large-scale local anomaly detection
Timothy de Vries et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2012)
Isolation-Based Anomaly Detection
Fei Tony Liu et al.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2012)
A survey on unsupervised outlier detection in high-dimensional numerical data
Arthur Zimek et al.
Statistical Analysis and Data Mining (2012)
Anomaly detection
Varun Chandola et al.
ACM COMPUTING SURVEYS (2009)
Fast mining of distance-based outliers in high-dimensional datasets
Amol Ghoting et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2008)
Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
Detection of non-coding RNAs on the basis of predicted secondary structure formation free energy change
Andrew V. Uzilov et al.
BMC BIOINFORMATICS (2006)
An introduction to ROC analysis
Tom Fawcett
PATTERN RECOGNITION LETTERS (2006)
A survey of outlier detection methodologies
VJ Hodge et al.
ARTIFICIAL INTELLIGENCE REVIEW (2004)
PCA versus LDA
AM Martìnez et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2001)
Nonlinear dimensionality reduction by locally linear embedding
ST Roweis et al.
SCIENCE (2000)
A global geometric framework for nonlinear dimensionality reduction
JB Tenenbaum et al.
SCIENCE (2000)
Share Paper
