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Author/Affiliation: Ilia NouretdinovOpen AccessArticle
14 Pages, 714 KB 
Validity and efficiency of conformal anomaly detection on big distributed data
Abstract:
Conformal Prediction is a recently developed framework for reliable confident predictions. In this work we discuss its possible application to big data coming from different, possibly heterogeneous data sources. On example of anomaly detection problem, we study the question of saving validity of Conformal Prediction in this case. We show that the straight forward averaging…
Read More(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Information Systems in Computer Science (CIS))