Anomaly Detection from ASRS Databases of Textual Reports

Other, Kanishka Bhaduri's Collection - 13 years, 7 months ago

Shared By: Kanishka Bhaduri

Our primary goal is to automatically analyze textual reports from the Aviation Safety Reporting System (ASRS) database to detect/discover the anomaly categories reported by the ...

Multiple Kernel Learning based Heterogeneous Algorithm

A Publication, Santanu Das's Collection - 13 years, 7 months ago

Shared By: Santanu Das

Paper on this topic has been submitted to KDD 2010.

sequenceMiner algorithm

An Algorithm, Suratna Budalakoti's Collection - 13 years, 6 months ago

Shared By: Suratna Budalakoti

Detecting and describing anomalies in large repositories of discrete symbol sequences. sequenceMiner has been open-sourced! Download the file below to try it out. sequenceMiner was ...

Inductive Monitoring System (IMS)

An Algorithm, DAVID IVERSON's Collection - 13 years, 7 months ago

Shared By: DAVID IVERSON

IMS: Inductive Monitoring System The Inductive Monitoring System (IMS) is a tool that uses a data mining technique called clustering to extract models of normal ...

Orca

An Algorithm, MARK SCHWABACHER's Collection - 13 years, 7 months ago

Shared By: MARK SCHWABACHER

Orca is a data-driven, unsupervised anomaly detection algorithm that uses a distance-based approach. It uses a novel pruning rule that allows it to run in ...

nu-Anomica algorithm

An Algorithm, Santanu Das's Collection - 12 years, 3 months ago

Shared By: Santanu Das

One-class nu-Support Vector machine (SVMs) learning technique maps the input data into a much higher dimensional space and then uses a small portion of the ...

Multiple Kernel Learning for Heterogeneous Anomaly Detection: Algorithm and Aviation Safety Case Study

A Publication, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 13 years, 7 months ago

Shared By: Bryan Matthews

The world-wide aviation system is one of the most complex dynamical systems ever developed and is generating data at an extremely rapid rate. Most modern ...

Discovering System Health Anomalies using Data Mining Techniques

A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

Shared By: Ashok Srivastava

We discuss a statistical framework that underlies envelope detection schemes as well as dynamical models based on Hidden Markov Models (HMM) that can encompass both ...

Anomaly Detection and Diagnosis Algorithms for Discrete Symbols

A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

Shared By: Ashok Srivastava

We present a set of novel algorithms which we call sequenceMiner that detect and characterize anomalies in large sets of high-dimensional symbol sequences that arise ...

Detection and Prognostics on Low Dimensional Systems

A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

Shared By: Ashok Srivastava

This paper describes the application of known and novel prognostic algorithms on systems that can be described by low dimensional, potentially nonlinear dynamics. The methods ...

Algorithms for Spectral Decomposition with Applications

A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

Shared By: Ashok Srivastava

The analysis of spectral signals for features that represent physical phenomenon is ubiquitous in the science and engineering communities. There are two main approaches that ...

Novel Methods for Predicting Photometric Redshifts

A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

Shared By: Ashok Srivastava

We calculate photometric redshifts from the Sloan Digital Sky Survey Main Galaxy Sample, The Galaxy Evolution Explorer All Sky Survey, and The Two Micron All ...

Comparative Analysis of Data-Driven Anomaly Detection Methods

A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

Shared By: Ashok Srivastava

This paper provides a review of three different advanced machine learning algorithms for anomaly detection in continuous data streams from a ground-test firing of a ...

Comparison of Unsupervised Anomaly Detection Methods

A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

Shared By: Ashok Srivastava

Several different unsupervised anomaly detection algorithms have been applied to Space Shuttle Main Engine (SSME) data to serve the purpose of developing a comprehensive suite ...