NDLI: Bussiness-driven automatic IT change management based on machine learning

Content Provider	IEEE Xplore Digital Library
Author	Haochen Li Zhiqiang Zhan
Copyright Year	2012
Description	Author affiliation: State Key Laboratory of Networking and Switching Beijing University of Posts and Telecommunications, Beijing, China (Zhiqiang Zhan) \|\| State Key Laboratory of Networking and Switching, Beijing University of Posts and Telecommunications, Beijing, China (Haochen Li)
Abstract	Growing complexity of customer needs is one of the prevailing problems faced by IT enterprises at present, leading to increasingly complex IT service management systems. At the same time, quick response to unexpected problems and externally imposed requirements are testing the IT change management. In order to solve the problems mentioned above and satisfy the customer needs timely, we consider automating the change management process with business-driven perspective so as to reduce the service interruption time and cost brings by changes. This paper proposes a solution for automation of the whole change management process and also assesses and validates the change solution we selected.
Starting Page	1374
Ending Page	1377
File Size	251241
Page Count	4
File Format	PDF
ISBN	9781467302678
ISSN	15421201
e-ISBN	9781467302692
e-ISBN	9781467302685
DOI	10.1109/NOMS.2012.6212078
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Business Machine learning Training Accuracy Biological neural networks Data mining data mining IT change management text mining neural network numerical optimization
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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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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