Comparison of Algorithms for Anomaly Detection in Flight Recorder Data of Airline Operations

A Publication, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 11 years, 4 months ago

Shared By: Santanu Das

Published at 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSM 17 - 19 September 2012, Indianapolis, Indiana

nu-Anomica: A Fast Support Vector Based Anomaly Detection Technique

A Publication, Nikunj Oza's Collection - 11 years ago

Shared By: Nikunj Oza

In this paper we propose $\nu$-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared ...

Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams

A Publication, Nikunj Oza's Collection - 12 years, 1 month ago

Shared By: Nikunj Oza

Fleet Level Anomaly Detection of Aviation Safety Data

A Publication, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 7 years, 9 months ago

Shared By: Santanu Das

For the purposes of this paper, the National Airspace System (NAS) encompasses the operations of all aircraft which are subject to air traffic control procedures. ...

MKAD (Open Sourced Code)

An Algorithm, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 4 years, 10 months ago

Shared By: Bryan Matthews

The Multiple Kernel Anomaly Detection (MKAD) algorithm is designed for anomaly detection over a set of files. It combines multiple kernels into a single optimization ...

ν-Anomica: A Fast Support Vector based Novelty Detection Technique

A Publication, Kanishka Bhaduri's Collection - 13 years, 5 months ago

Shared By: Kanishka Bhaduri

In this paper we propose ν-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared ...