NDLI: Atypical event and typical pattern detection within complex systems

Content Provider	IEEE Xplore Digital Library
Author	Amidan, B.G. Ferryman, T.A.
Copyright Year	2005
Description	Author affiliation: Battelle-Pacific Northwest Div., Richland, WA (Amidan, B.G.; Ferryman, T.A.)
Abstract	Algorithms have been developed to find typical patterns and atypical events within complex data systems. A software package called The Morning Report was developed in which these algorithms were applied to digital flight data for commercial airlines. These systems contain many sets of data with hundreds of variables being measured over time, generally resulting in many gigabytes of data to be analyzed. Using statistical and mathematically based algorithms this software identifies atypical flights as well as which flight parameters and which flight phases are atypical. These algorithms also cluster the flights into a finite number of distinct patterns. This clustering allows the flight analyst to focus on atypical flights as well as the typical flight patterns discovered, removing the need to explore each flight separately. The Morning Report software was designed to run each night, producing a report in the morning. This report identifies the characteristics of only the newly added flights, but it uses data from previous flights to help establish the baseline. The report consists of interactive analysis tools that allow for plotting of significant flight parameters for each atypical flight as compared to the typical flights, as well as plots that contrast a flight pattern of interest to any other flight pattern or to all patterns combined
Starting Page	3620
Ending Page	3631
File Size	477042
Page Count	12
File Format	PDF
ISBN	0780388704
DOI	10.1109/AERO.2005.1559667
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-03-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Event detection Data analysis Displays Software algorithms Clustering algorithms Pattern analysis Aerospace safety Software packages Data systems Time measurement
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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