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A Systematic Literature Review of Novelty Detection in Data Streams: Challenges and Opportunities

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/widm.1249openalex-snapshot

Ensemble learning: A survey

inferredcites →https://doi.org/10.1007/978-1-84628-799-2_11openalex-snapshot

Cognitively Motivated Novelty Detection in Video Data Streams

inferredcites →https://doi.org/10.1007/978-3-030-30244-3_37openalex-snapshot

Online Clustering for Novelty Detection and Concept Drift in Data Streams

inferredcites →https://doi.org/10.1007/978-3-030-33778-0_34openalex-snapshot

Ensemble Clustering for Novelty Detection in Data Streams

inferredcites →https://doi.org/10.1007/978-3-030-61380-8_12openalex-snapshot

A Fuzzy Approach for Classification and Novelty Detection in Data Streams Under Intermediate Latency

inferredcites →https://doi.org/10.1007/978-3-030-75762-5_30openalex-snapshot

Detecting Sequentially Novel Classes with Stable Generalization Ability

inferredcites →https://doi.org/10.1007/978-3-030-88942-5_6openalex-snapshot

An Analysis of Performance Metrics for Imbalanced Classification

inferredcites →https://doi.org/10.1007/978-3-031-45275-8_47openalex-snapshot

Toward Streamlining the Evaluation of Novelty Detection in Data Streams

inferredcites →https://doi.org/10.1007/978-3-319-06605-9_35openalex-snapshot

Recurring and Novel Class Detection in Concept-Drifting Data Streams Using Class-Based Ensemble

inferredcites →https://doi.org/10.1007/978-3-319-18032-8_30openalex-snapshot

Semi Supervised Adaptive Framework for Classifying Evolving Data Stream

inferredcites →https://doi.org/10.1007/978-3-642-01091-0_2openalex-snapshot

An Overview on Mining Data Streams

inferredcites →https://doi.org/10.1007/978-3-642-03070-3_32openalex-snapshot

Relational Frequent Patterns Mining for Novelty Detection from Data Streams

inferredcites →https://doi.org/10.1007/978-3-642-04125-9_59openalex-snapshot

Novelty Detection from Evolving Complex Data Streams with Time Windows

inferredcites →https://doi.org/10.1007/978-3-642-04174-7_6openalex-snapshot

Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams

inferredcites →https://doi.org/10.1007/978-3-642-13672-6_31openalex-snapshot

Classification and Novel Class Detection in Data Streams with Active Mining

inferredcites →https://doi.org/10.1007/978-3-642-15883-4_22openalex-snapshot

Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space

inferredcites →https://doi.org/10.1007/978-3-642-29347-4_21openalex-snapshot

Robust Neural Network for Novelty Detection on Data Streams

inferredcites →https://doi.org/10.1007/978-3-642-39068-5_50openalex-snapshot

Novel Class Detection within Classification for Data Streams

inferredcites →https://doi.org/10.1007/978-94-015-3994-4openalex-snapshot

Identification of Outliers

inferredcites →https://doi.org/10.1007/s00500-014-1492-5openalex-snapshot

One-class classifiers with incremental learning and forgetting for data streams with concept drift

inferredcites →https://doi.org/10.1007/s10115-013-0685-zopenalex-snapshot

Maritime abnormality detection using Gaussian processes

inferredcites →https://doi.org/10.1007/s10115-018-1266-yopenalex-snapshot

Concept-evolution detection in non-stationary data streams: a fuzzy clustering approach

inferredcites →https://doi.org/10.1007/s10115-021-01582-4openalex-snapshot

Data stream classification with novel class detection: a review, comparison and challenges

inferredcites →https://doi.org/10.1007/s10462-015-9444-8openalex-snapshot

Novelty detection in data streams

inferredcites →https://doi.org/10.1007/s10489-021-02854-wopenalex-snapshot

The design of error-correcting output codes algorithm for the open-set recognition

inferredcites →https://doi.org/10.1007/s10618-010-0201-yopenalex-snapshot

Learning model trees from evolving data streams

inferredcites →https://doi.org/10.1007/s10618-015-0433-yopenalex-snapshot

MINAS: multiclass learning algorithm for novelty detection in data streams

inferredcites →https://doi.org/10.1007/s10618-018-0571-0openalex-snapshot

An adaptive algorithm for anomaly and novelty detection in evolving data streams

inferredcites →https://doi.org/10.1007/s10618-020-00698-5openalex-snapshot

Challenges in benchmarking stream learning algorithms with real-world data

inferredcites →https://doi.org/10.1007/s11227-018-2674-1openalex-snapshot

Outlier and anomaly pattern detection on data streams

inferredcites →https://doi.org/10.1007/s12530-016-9147-7openalex-snapshot

AnyNovel: detection of novel concepts in evolving data streams

inferredcites →https://doi.org/10.1007/s13748-011-0002-6openalex-snapshot

A survey on learning from data streams: current and future trends

inferredcites →https://doi.org/10.1016/b978-012722442-8/50016-1openalex-snapshot

A Framework for Clustering Evolving Data Streams

inferredcites →https://doi.org/10.1016/j.asoc.2019.105771openalex-snapshot

Robust hierarchical clustering for novelty identification in sensor networks: With applications to industrial systems

inferredcites →https://doi.org/10.1016/j.eswa.2013.05.001openalex-snapshot

An adaptive ensemble classifier for mining concept drifting data streams

inferredcites →https://doi.org/10.1016/j.eswa.2013.05.059openalex-snapshot

Online behavior change detection in computer games

inferredcites →https://doi.org/10.1016/j.eswa.2017.08.033openalex-snapshot

Detection of evolving concepts in non-stationary data streams: A multiple kernel learning approach

inferredcites →https://doi.org/10.1016/j.eswa.2018.10.027openalex-snapshot

An online support vector machine for the open-ended environment

inferredcites →https://doi.org/10.1016/j.inffus.2017.02.004openalex-snapshot

Ensemble learning for data stream analysis: A survey

inferredcites →https://doi.org/10.1016/j.infsof.2008.09.009openalex-snapshot

Systematic literature reviews in software engineering – A systematic literature review

inferredcites →https://doi.org/10.1016/j.ins.2011.08.030openalex-snapshot

Adaptive fault detection and diagnosis using an evolving fuzzy classifier

inferredcites →https://doi.org/10.1016/j.ins.2017.05.021openalex-snapshot

Anomaly detection based on a dynamic Markov model

inferredcites →https://doi.org/10.1016/j.ins.2019.08.050openalex-snapshot

Exploiting evolving micro-clusters for data stream classification with emerging class detection

inferredcites →https://doi.org/10.1016/j.ins.2019.12.022openalex-snapshot

An evolving approach to data streams clustering based on typicality and eccentricity data analytics

inferredcites →https://doi.org/10.1016/j.jksuci.2021.11.006openalex-snapshot

Concept Drift Detection in Data Stream Mining : A literature review

inferredcites →https://doi.org/10.1016/j.knosys.2021.106749openalex-snapshot

Semi-supervised classification on data streams with recurring concept drift and concept evolution

inferredcites →https://doi.org/10.1016/j.neucom.2015.01.037openalex-snapshot

Novel class detection in data streams using local patterns and neighborhood graph

inferredcites →https://doi.org/10.1016/j.neunet.2017.10.004openalex-snapshot

Active learning for classifying data streams with unknown number of classes

inferredcites →https://doi.org/10.1016/j.neunet.2019.10.015openalex-snapshot

The robustness-fidelity trade-off in Grow When Required neural networks performing continuous novelty detection

inferredcites →https://doi.org/10.1016/j.patcog.2019.05.024openalex-snapshot

: Dynamic clustering for tracking evolving environments

inferredcites →https://doi.org/10.1016/j.patcog.2022.108642openalex-snapshot

Incremental and compressible kernel null discriminant analysis

inferredcites →https://doi.org/10.1016/j.protcy.2012.10.026openalex-snapshot

A Framework for Outlier Detection in Evolving Data Streams by Weighting Attributes in Clustering

inferredcites →https://doi.org/10.1016/j.robot.2016.03.009openalex-snapshot

On-line expectation-based novelty detection for mobile robots

inferredcites →https://doi.org/10.1016/j.robot.2019.04.003openalex-snapshot

Experiments in online expectation-based novelty-detection using 3D shape and colour perceptions for mobile robot inspection

inferredcites →https://doi.org/10.1016/j.ymssp.2022.108913openalex-snapshot

A system reliability approach to real-time unsupervised structural health monitoring without prior information

inferredcites →https://doi.org/10.1023/a:1009783824328openalex-snapshot

BIRCH: A New Data Clustering Algorithm and Its Applications

inferredcites →https://doi.org/10.1109/access.2018.2868430openalex-snapshot

Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery

inferredcites →https://doi.org/10.1109/access.2019.2939736openalex-snapshot

Novelty Detection in Social Media by Fusing Text and Image Into a Single Structure

inferredcites →https://doi.org/10.1109/access.2020.2965766openalex-snapshot

CODES: Efficient Incremental Semi-Supervised Classification Over Drifting and Evolving Social Streams

inferredcites →https://doi.org/10.1109/access.2020.2978648openalex-snapshot

An Incremental Kernel Extreme Learning Machine for Multi-Label Learning With Emerging New Labels

inferredcites →https://doi.org/10.1109/acsos-c52956.2021.00055openalex-snapshot

The Problem with Real-World Novelty Detection - Issues in Multivariate Probabilistic Models

inferredcites →https://doi.org/10.1109/aike52691.2021.00013openalex-snapshot

A Survey on Open Set Recognition

inferredcites →https://doi.org/10.1109/aims.2015.60openalex-snapshot

Semi-supervised Learning Using Incremental Polynomial Classifier and Extreme Value Theory

inferredcites →https://doi.org/10.1109/atnac.2011.6096654openalex-snapshot

An efficient approach to detecting concept-evolution in network data streams

inferredcites →https://doi.org/10.1109/bigdata.2017.8258127openalex-snapshot

Unsupervised deep embedding for novel class detection over data stream

inferredcites →https://doi.org/10.1109/bigdata47090.2019.9006088openalex-snapshot

SIM: Open-World Multi-Task Stream Classifier with Integral Similarity Metrics

inferredcites →https://doi.org/10.1109/bracis.2019.00034openalex-snapshot

Novelty Detection for Multi-Label Stream Classification

inferredcites →https://doi.org/10.1109/cdc.2016.7799244openalex-snapshot

Online learning of Contextual Hidden Markov Models for temporal-spatial data analysis

inferredcites →https://doi.org/10.1109/cybconf.2015.7175902openalex-snapshot

Reacting to different types of concept drift with adaptive and incremental one-class classifiers

inferredcites →https://doi.org/10.1109/dsmp.2018.8478490openalex-snapshot

Unsupervised Real-Time Stream-Based Novelty Detection Technique an Approach in a Corporate Cloud

inferredcites →https://doi.org/10.1109/dsn.2009.5270346openalex-snapshot

Comparing anomaly-detection algorithms for keystroke dynamics

inferredcites →https://doi.org/10.1109/eais48028.2020.9122704openalex-snapshot

Detection of Hazardous Road Events From Audio Streams: An Ensemble Outlier Detection Approach

inferredcites →https://doi.org/10.1109/fuzz-ieee.2016.7737668openalex-snapshot

Unsupervised classification of data streams based on Typicality and Eccentricity Data Analytics

inferredcites →https://doi.org/10.1109/fuzz-ieee.2018.8491545openalex-snapshot

A Fuzzy Multiclass Novelty Detector for Data Streams

inferredcites →https://doi.org/10.1109/fuzz45933.2021.9494448openalex-snapshot

A Fuzzy Multi-class Novelty Detector for Data Streams Under Intermediate Latency

inferredcites →https://doi.org/10.1109/fuzz48607.2020.9177582openalex-snapshot

Possibilistic Approach For Novelty Detection In Data Streams

inferredcites →https://doi.org/10.1109/iadcc.2013.6514355openalex-snapshot

Clustering techniques for streaming data-a survey

inferredcites →https://doi.org/10.1109/icar.2013.6766498openalex-snapshot

Online face recognition and learning for cognitive robots

inferredcites →https://doi.org/10.1109/icde.2016.7498264openalex-snapshot

Efficient handling of concept drift and concept evolution over Stream Data

inferredcites →https://doi.org/10.1109/icde.2019.00128openalex-snapshot

Robust High Dimensional Stream Classification with Novel Class Detection

inferredcites →https://doi.org/10.1109/icdm.2010.160openalex-snapshot

Addressing Concept-Evolution in Concept-Drifting Data Streams

inferredcites →https://doi.org/10.1109/icdm.2011.49openalex-snapshot

Detecting Recurring and Novel Classes in Concept-Drifting Data Streams

inferredcites →https://doi.org/10.1109/icece.2012.6471629openalex-snapshot

Novel class detection in concept-drifting data stream mining employing decision tree

inferredcites →https://doi.org/10.1109/icics52457.2021.9464585openalex-snapshot

Adaptive Novelty Detection over Contextual Data Streams at the Edge using One-class Classification

inferredcites →https://doi.org/10.1109/iciip.2015.7414771openalex-snapshot

Extreme learning machine based novelty detection for incremental semi-supervised learning

inferredcites →https://doi.org/10.1109/icmla.2016.0099openalex-snapshot

A Novel Algorithm for Dynamic Clustering: Properties and Performance

inferredcites →https://doi.org/10.1109/icmla51294.2020.00036openalex-snapshot

Online Cluster Drift Detection for Novelty Detection in Data Streams

inferredcites →https://doi.org/10.1109/icpr.2014.487openalex-snapshot

Efficient Active Novel Class Detection for Data Stream Classification

inferredcites →https://doi.org/10.1109/icsidp47821.2019.9173002openalex-snapshot

Fuzzy ARTMAP Network And Clustering For Streaming Classification Under Emerging New Classes

inferredcites →https://doi.org/10.1109/ictai.2012.168openalex-snapshot

Novel Class Detection and Feature via a Tiered Ensemble Approach for Stream Mining

inferredcites →https://doi.org/10.1109/ictai.2017.00077openalex-snapshot

Concept Drift Detection for Graph-Structured Classifiers under Scarcity of True Labels

inferredcites →https://doi.org/10.1109/ijcnn.2011.6033512openalex-snapshot

Learning random subspace novelty detection filters

inferredcites →https://doi.org/10.1109/ijcnn.2019.8851788openalex-snapshot

Pruned Sets for Multi-Label Stream Classification without True Labels

inferredcites →https://doi.org/10.1109/ijcnn.2019.8851934openalex-snapshot

Metric Learning based Framework for Streaming Classification with Concept Evolution

inferredcites →https://doi.org/10.1109/isda.2012.6416666openalex-snapshot

Unsupervised outlier detection in streaming data using weighted clustering

inferredcites →https://doi.org/10.1109/jiot.2022.3173064openalex-snapshot

Asymmetric HMMs for Online Ball-Bearing Health Assessments

inferredcites →https://doi.org/10.1109/lsp.2018.2843281openalex-snapshot

Adaptive Matrix Sketching and Clustering for Semisupervised Incremental Learning

inferredcites →https://doi.org/10.1109/msp.2012.2211477openalex-snapshot

The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

inferredcites →https://doi.org/10.1109/sbrn.2012.22openalex-snapshot

A Density-Based Clustering Approach for Behavior Change Detection in Data Streams

inferredcites →https://doi.org/10.1109/socpar.2010.5686734openalex-snapshot

A DCT based approach for detecting novelty and concept drift in data streams

inferredcites →https://doi.org/10.1109/tbdata.2019.2922969openalex-snapshot

Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams

inferredcites →https://doi.org/10.1109/tcyb.2018.2804940openalex-snapshot

Distributed Online One-Class Support Vector Machine for Anomaly Detection Over Networks

inferredcites →https://doi.org/10.1109/tfuzz.2022.3189083openalex-snapshot

FHC-NDS: Fuzzy Hierarchical Clustering of Multiple Nominal Data Streams

inferredcites →https://doi.org/10.1109/tie.2018.2826477openalex-snapshot

A Novelty Detector and Extreme Verification Latency Model for Nonstationary Environments

inferredcites →https://doi.org/10.1109/tkde.2010.61openalex-snapshot

Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints

inferredcites →https://doi.org/10.1109/tkde.2012.109openalex-snapshot

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

inferredcites →https://doi.org/10.1109/tkde.2013.184openalex-snapshot

Outlier Detection for Temporal Data: A Survey

inferredcites →https://doi.org/10.1109/tkde.2015.2441713openalex-snapshot

Evaluation of Multiclass Novelty Detection Algorithms for Data Streams

inferredcites →https://doi.org/10.1109/tkde.2015.2507123openalex-snapshot

Recurring and Novel Class Detection Using Class-Based Ensemble for Evolving Data Stream

inferredcites →https://doi.org/10.1109/tkde.2017.2691702openalex-snapshot

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

inferredcites →https://doi.org/10.1109/tkde.2020.2993193openalex-snapshot

SACCOS: A Semi-Supervised Framework for Emerging Class Detection and Concept Drift Adaption Over Data Streams

inferredcites →https://doi.org/10.1109/tkde.2021.3135755openalex-snapshot

Classification in Dynamic Data Streams With a Scarcity of Labels

inferredcites →https://doi.org/10.1109/tkde.2022.3169229openalex-snapshot

SNDProb: A probabilistic approach for streaming novelty detection

inferredcites →https://doi.org/10.1109/tnnls.2021.3104882openalex-snapshot

Learning to Classify With Incremental New Class

inferredcites →https://doi.org/10.1109/tpami.2012.256openalex-snapshot

Toward Open Set Recognition

inferredcites →https://doi.org/10.1109/tpami.2020.2965531openalex-snapshot

Novelty Detection and Online Learning for Chunk Data Streams

inferredcites →https://doi.org/10.1109/tpami.2020.2981604openalex-snapshot

Recent Advances in Open Set Recognition: A Survey

inferredcites →https://doi.org/10.1109/tse.2019.2937083openalex-snapshot

How does Machine Learning Change Software Development Practices?

inferredcites →https://doi.org/10.1109/uksim.2016.5openalex-snapshot

Semi-supervised Learning Using Incremental Support Vector Machine and Extreme Value Theory in Gesture Data

inferredcites →https://doi.org/10.1109/wiecon-ece.2018.8782911openalex-snapshot

IEEE WIECON-ECE 2018 Novel Class Detection in Concept Drifting Data Streams Using Decision Tree Leaves

inferredcites →https://doi.org/10.1142/s2196888819500143openalex-snapshot

AIS-Clus: A Bio-Inspired Method for Textual Data Stream Clustering

inferredcites →https://doi.org/10.1145/1244002.1244107openalex-snapshot

OLINDDA

inferredcites →https://doi.org/10.1145/1363686.1363912openalex-snapshot

Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks

inferredcites →https://doi.org/10.1145/1541880.1541882openalex-snapshot

Anomaly detection

inferredcites →https://doi.org/10.1145/1833280.1833282openalex-snapshot

Detecting outliers on arbitrary data streams using anytime approaches

inferredcites →https://doi.org/10.1145/2020408.2020608openalex-snapshot

Learning Beyond the Predefined Label Space

inferredcites →https://doi.org/10.1145/2480362.2480515openalex-snapshot

Novelty detection algorithm for data streams multi-class problems

inferredcites →https://doi.org/10.1145/2522968.2522981openalex-snapshot

Data stream clustering

inferredcites →https://doi.org/10.1145/2695664.2695674openalex-snapshot

SNCStream

inferredcites →https://doi.org/10.1145/2851613.2851652openalex-snapshot

A support vector based approach for classification beyond the learned label space in data streams

inferredcites →https://doi.org/10.1145/2907070openalex-snapshot

A Survey of Predictive Modeling on Imbalanced Domains

inferredcites →https://doi.org/10.1145/2939672.2939835openalex-snapshot

Learning Cumulatively to Become More Knowledgeable

inferredcites →https://doi.org/10.1145/3003733.3003759openalex-snapshot

A Framework for Threat Detection in Communication Systems

inferredcites →https://doi.org/10.1145/3054925openalex-snapshot

A Survey on Ensemble Learning for Data Stream Classification

inferredcites →https://doi.org/10.1145/3209978.3210101openalex-snapshot

Parameterizing Kterm Hashing

inferredcites →https://doi.org/10.1145/3219819.3220022openalex-snapshot

DILOF

inferredcites →https://doi.org/10.1145/3357384.3357981openalex-snapshot

Multi-stage Deep Classifier Cascades for Open World Recognition

inferredcites →https://doi.org/10.1145/3366423.3380153openalex-snapshot

Few-Sample and Adversarial Representation Learning for Continual Stream Mining

inferredcites →https://doi.org/10.1145/3373464.3373470openalex-snapshot

Machine learning for streaming data

inferredcites →https://doi.org/10.1145/3404835.3463096openalex-snapshot

CIFDM: Continual and Interactive Feature Distillation for Multi-Label Stream Learning

inferredcites →https://doi.org/10.1145/3450288openalex-snapshot

A Systematic Literature Review on Federated Machine Learning

inferredcites →https://doi.org/10.1145/3469877.3490603openalex-snapshot

Few-shot Egocentric Multimodal Activity Recognition

inferredcites →https://doi.org/10.1145/3474085.3475443openalex-snapshot

An EM Framework for Online Incremental Learning of Semantic Segmentation

inferredcites →https://doi.org/10.1145/3494832openalex-snapshot

Scarcity of Labels in Non-Stationary Data Streams: A Survey

inferredcites →https://doi.org/10.1145/3523055openalex-snapshot

A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams

inferredcites →https://doi.org/10.1155/2020/4027423openalex-snapshot

A Classification and Novel Class Detection Algorithm for Concept Drift Data Stream Based on the Cohesiveness and Separation Index of Mahalanobis Distance

inferredcites →https://doi.org/10.1186/s40537-016-0040-9openalex-snapshot

Role of big-data in classification and novel class detection in data streams

inferredcites →https://doi.org/10.1609/aaai.v29i1.9588openalex-snapshot

Detecting and Tracking Concept Class Drift and Emergence in Non-Stationary Fast Data Streams

inferredcites →https://doi.org/10.1609/aaai.v30i1.10283openalex-snapshot

SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream

inferredcites →https://doi.org/10.1609/aaai.v34i04.6186openalex-snapshot

Semi-Supervised Streaming Learning with Emerging New Labels

inferredcites →https://doi.org/10.23919/mipro48935.2020.9245193openalex-snapshot

Novel Class Detection in Non-stationary Streaming Environment with a Discriminative Classifier

inferredcites →https://doi.org/10.24432/c50k5nopenalex-snapshot

Covertype

inferredcites →https://doi.org/10.24432/c51c7nopenalex-snapshot

KDD Cup 1999 Data

inferredcites →https://doi.org/10.24432/c56c76openalex-snapshot

Iris

inferredcites →https://doi.org/10.24432/c5kw38openalex-snapshot

Poker Hand

inferredcites →https://doi.org/10.24432/c5nw2hopenalex-snapshot

PAMAP2 Physical Activity Monitoring

inferredcites →https://doi.org/10.3233/978-1-58603-887-8-16openalex-snapshot

Novelty Detection and Online Learning for Vibration-based Terrain Classification

inferredcites →https://doi.org/10.3233/ida-140636openalex-snapshot

Unsupervised density-based behavior change detection in data streams

inferredcites →https://doi.org/10.3233/ida-2008-12301openalex-snapshot

Knowledge discovery from data streams

inferredcites →https://doi.org/10.3233/ida-2009-0373openalex-snapshot

Novelty detection with application to data streams

inferredcites →https://doi.org/10.3390/bdcc5010001openalex-snapshot

A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams

inferredcites →https://doi.org/10.3390/math7121229openalex-snapshot

A Clustering System for Dynamic Data Streams Based on Metaheuristic Optimisation

inferredcites →https://doi.org/10.3390/s20205811openalex-snapshot

An Adaptive Deep Learning Framework for Dynamic Image Classification in the Internet of Things Environment

inferredcites →https://doi.org/10.4304/jcp.8.11.2873-2879openalex-snapshot

A Semi-supervised Ensemble Approach for Mining Data Streams

inferredcites →https://doi.org/10.48550/arxiv.1109.2058openalex-snapshot

Text mining and visualization using VOSviewer

inferredcites →https://doi.org/10.48550/arxiv.2110.14051openalex-snapshot

A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges

inferredcites →https://doi.org/10.5013/ijssst.a.17.34.06openalex-snapshot

Incremental Parzen Window Classifier for a Multi-Class System

inferredcites →https://doi.org/10.5555/1756006.1859903openalex-snapshot

MOA: Massive Online Analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-79038-6_5openalex-snapshot

One-Class Learning for Data Stream Through Graph Neural Networks

inferred← citeshttps://doi.org/10.1007/s10994-025-06777-2openalex-snapshot

Prioritizing the essential: A robust evaluation framework for novelty detection

inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104221openalex-snapshot

Online learning from drifting capricious data streams with flexible Hoeffding tree

inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11402296openalex-snapshot

A Concept Drift-Based Technique for Trading Strategy Portfolio Dynamic Adjustment in Streaming Data Environments

inferred← citeshttps://doi.org/10.1142/s0218001424500216openalex-snapshot

Detection of Novel Classes in Dynamic Data Streams

inferred← citeshttps://doi.org/10.1145/3770855.3817951openalex-snapshot

Online Learning for Wild Streaming Data with Delayed Feedback

inferred← citeshttps://doi.org/10.21203/rs.3.rs-9763598/v1openalex-snapshot

A Systematic Literature Review on Multi-label Data Stream Classification

inferred← citeshttps://doi.org/10.2139/ssrn.5784368openalex-snapshot

LLM-based Blackboard Pattern for Diagnostic Systems

inferred← citeshttps://doi.org/10.2139/ssrn.6865313openalex-snapshot

FedProtoGuard: Communication-Efficient Federated Prototype Learning for Open-World Intrusion Detection Systems

inferred← citeshttps://doi.org/10.3390/e27040363openalex-snapshot

OMAL: A Multi-Label Active Learning Approach from Data Streams

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Automotive Cybersecurity Incident Response (CSIR) Framework and Its Integration into OEM Processes

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.