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Add paper 'Outlier Detection: Applications And Techniques" #1

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Add paper 'Outlier Detection: Applications And Techniques" #1

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4 changes: 3 additions & 1 deletion README.md
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Expand Up @@ -112,6 +112,8 @@ Hodge, V. and Austin, J., 2004. A survey of outlier detection methodologies. *Ar

Campos, G.O., Zimek, A., Sander, J., Campello, R.J., Micenková, B., Schubert, E., Assent, I. and Houle, M.E., 2016. On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. *Data Mining and Knowledge Discovery*, 30(4), pp.891-927. [[HTML]](https://link.springer.com/article/10.1007/s10618-015-0444-8"[HTML]") [[SLIDES]](https://imada.sdu.dk/~zimek/InvitedTalks/TUVienna-2016-05-18-outlier-evaluation.pdf"[SLIDES]")

Singh, K., & Upadhyaya, S. (2012). Outlier detection: applications and techniques. International Journal of Computer Science Issues (IJCSI), 9(1), 307. [[Download PDF]](https://pdfs.semanticscholar.org/4f58/44c9e7db68af7c2c5b918082636c3307cef9.pdf)

Goldstein, M. and Uchida, S., 2016. A comparative evaluation of unsupervised anomaly detection algorithms for multivariate data. *PloS one*, 11(4), p.e0152173. [[Download PDF]](http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0152173&type=printable )

### 4.2. Key Algorithms
Expand Down Expand Up @@ -180,4 +182,4 @@ Salehi, Mahsa & Rashidi, Lida. (2018). A Survey on Anomaly detection in Evolving

[Data Mining and Knowledge Discovery](https://link.springer.com/journal/10618)

[Knowledge and Information Systems (KAIS)](https://link.springer.com/journal/10115)
[Knowledge and Information Systems (KAIS)](https://link.springer.com/journal/10115)