NDLI: A vertical outlier detection algorithm with clusters as by-product

Content Provider	IEEE Xplore Digital Library
Author	Ren, D. Rahal, I. Perrizo, W.
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci., North Dakota State Univ., Fargo, ND, USA (Ren, D.; Rahal, I.; Perrizo, W.)
Abstract	Outlier detection can lead to discovering unexpected and interesting knowledge, which is critically important to some areas such as monitoring of criminal activities in electronic commerce, credit card fraud, and the like. In This work, we propose an efficient outlier detection method with clusters as by-product, which works efficiently for large datasets. Our contributions are: a) We introduce a local connective factor (LCF); b) Based on LCF, we propose an outlier detection method which can efficiently detect outliers and group data into clusters in a one-time process. Our method does not require the beforehand clustering process, which is the first step in other state-of-the-art clustering-based outlier detection methods; c) The performance of our method is further improved by means of a vertical data representation, P-trees. We tested our method with real dataset. Our method shows around five-time speed improvements compared to the other contemporary clustering-based outlier-detection approaches.
Sponsorship	IEEE Comput. Soc.
Starting Page	22
Ending Page	29
File Size	195769
Page Count	8
File Format	PDF
ISBN	076952236X
ISSN	10823409
DOI	10.1109/ICTAI.2004.22
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detection algorithms Electronic commerce Testing Computer science Neodymium Computerized monitoring Credit cards Surveillance Data models Performance analysis
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
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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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