Table 1 Surveyed works on outlier detection and OCC
From: A literature review on one-class classification and its potential applications in big data
# | Paper | Method(s) | Domain |
|---|---|---|---|
1 | Anomaly, novelty, one-class classification: a comprehensive introduction [7] | Gaussian, OCSVM | Masquerader detection |
2 | One-class classification with extreme learning machine [23] | OCC based on ELM | UCI datasets |
3 | Outlier detection with one-class SVMs: an application to melanoma prognosis [25] | OCSVM, ANN | Healthcare |
4 | Patient classification as an outlier detection problem: an application of the one-class support vector machine [27] | OCSVM | Healthcare |
5 | Outlier analysis and one class classification approach for planetary gearbox diagnosis [28] | Parzen, SVDD, Gaussian | Vibration signal Outlier detection |
6 | One class random forests [29] | OCRF | UCI datasets |
7 | Clustering-based ensembles for one-class classification [18] | OCSVM | Miscellaneous datasets |
8 | Graph-based semi-supervised one-class support vector machine for detecting abnormal lung sounds [20] | Graph-based Semi-Supervised OCSVM | Healthcare |
9 | On the construction of extreme learning machine for online and offline one-class classification—an expanded toolbox [21] | ELM, OSELM | Miscellaneous datasets |
10 | One-class classifiers with incremental learning and forgetting for data streams with concept drift [22] | Weighted OCSVM | Streaming data classification |
11 | One-class classification-based real-time activity error detection in smart homes [30] | OCSVM | Smart home sensors Healthcare |
12 | An intelligent outlier detection method with one class support tucker machine and genetic algorithm toward big sensor data in Internet of Things [31] | OCSTuM, GA-OCSTuM | Miscellaneous datasets Internet of things |
13 | Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data [32] | Deep Kernel OCC | Miscellaneous datasets Healthcare |
14 | Towards explaining anomalies: a deep Taylor decomposition of one-class models [34] | OCDTD OCSVM | Miscellaneous datasets |
15 | Depression and anorexia detection in social media as a one-class classification problem [36] | OCC-kSS, gSC | Healthcare |
16 | A Hybrid Unsupervised Clustering-Based Anomaly Detection Method [38] | SSC, OCSVM | Network intrusion detection |
17 | Machine Learning for Automatic Processing of Modal Analysis in Damage Detection of Bridges [40] | OCCNN, OCCNN2 | Bridge structural vibration analysis |
18 | Network intrusion detection model using one-class support vector machine [41] | OCSVM | Novel NIDS Dataset |
19 | One-class classification based bug triage System to assign a newly added developer [42] | OCSVM | Software bug triage |