• Anomaly Detection from ASRS Databases of Textual Reports

    Other, Kanishka Bhaduri's Collection - 11 years, 2 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 ...

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  • Multiple Kernel Learning based Heterogeneous Algorithm

    A Publication, Santanu Das's Collection - 11 years, 2 months ago

    Shared By: Santanu Das

    Paper on this topic has been submitted to KDD 2010.

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  • sequenceMiner algorithm

    An Algorithm, Suratna Budalakoti's Collection - 11 years, 1 month 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 - 11 years, 2 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 - 11 years, 2 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 - 9 years, 10 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 ...

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

    A Publication, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 11 years, 2 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 ...

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  • Discovering System Health Anomalies using Data Mining Techniques

    A Publication, Ashok Srivastava's Collection - 7 years, 10 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 ...

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  • Anomaly Detection and Diagnosis Algorithms for Discrete Symbols

    A Publication, Ashok Srivastava's Collection - 7 years, 10 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 ...

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  • Detection and Prognostics on Low Dimensional Systems

    A Publication, Ashok Srivastava's Collection - 7 years, 10 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 ...

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  • Algorithms for Spectral Decomposition with Applications

    A Publication, Ashok Srivastava's Collection - 7 years, 10 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 ...

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  • Novel Methods for Predicting Photometric Redshifts

    A Publication, Ashok Srivastava's Collection - 7 years, 10 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 ...

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  • Comparative Analysis of Data-Driven Anomaly Detection Methods

    A Publication, Ashok Srivastava's Collection - 7 years, 10 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 ...

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  • Comparison of Unsupervised Anomaly Detection Methods

    A Publication, Ashok Srivastava's Collection - 7 years, 10 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 ...

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  • Stable and Efficient Gaussian Process Calculations

    A Publication, Ashok Srivastava's Collection - 7 years, 10 months ago

    Shared By: Ashok Srivastava

    The use of Gaussian processes can be an effective approach to prediction in a supervised learning environment. For large data sets, the standard Gaussian process ...

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