NDLI: Integrated learning method by exchanging local models

Content Provider	IEEE Xplore Digital Library
Author	Deng Hui Yang Ying
Copyright Year	2013
Description	Author affiliation: Libr. of North Sichuan Med. Coll., Nanchong, China (Deng Hui) \|\| Sch. of Basic Med. Sci., North Sichuan Med. Coll., Nanchong, China (Yang Ying)
Abstract	Detecting anomalous behavior from terabytes of collected record data has emerged as a crucial component for many systems for Data Mining System. Processing record data collected from various locations or providers cannot often be directly aggregated for anomaly analysis due to the proprietary nature of the data. This paper proposes a novel general framework for anomaly detection from distributed data sources that cannot be directly merged. In the proposed method, anomaly detection algorithm is first applied to data from individual provider and then their results are combined. We investigated ten semi-supervised anomaly detection algorithms, as well as four methods for combining anomaly detection results. Our experiments show that the proposed method is more suitable for the task of distributed anomaly detection than others.
Starting Page	2187
Ending Page	2191
File Size	460161
Page Count	5
File Format	PDF
ISBN	9781479925643
e-ISBN	9781479925650
DOI	10.1109/MEC.2013.6885410
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Learning systems Anomaly Detection Ensemble Learning Distributed databases Predictive models Data Mining Data models Data mining Mutual information
Content Type	Text
Resource Type	Article

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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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