Recommend to a Colleague

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Dear Colleague,

I would like to inform you about a recent publication by IGI Global:

Title: Using Machine Learning and Probabilistic Frameworks to Enhance Incident and Problem Management: Automated Ticket Classification and Structuring
Author(s)/Editor(s): Anca Sailer (IBM, USA); Ruchi Mahindru (IBM, USA); Yang Song (Microsoft, USA); Xing Wei (Inmobi, USA)
ISBN13: 9781466684966
EISBN13: 9781466684973
URL: https://www.igi-global.com/chapter/using-machine-learning-and-probabilistic-frameworks-to-enhance-incident-and-problem-management/135371

I would appreciate if you would forward this information to your librarian along with your recommendation for library acquisition.

Additional comments or reasons for making recommendation:
 

Librarians: All IGI Global publications are available in print and perpetual access versions. Contact IGI Global or your bookseller for more information.

Questions or orders may be forwarded to:
IGI Global
701 East Chocolate Avenue, Suite 200
Hershey, PA 17033-1240, USA
1-866-342-6657
717-533-8845 ext. 100
717-533-8661 fax
E-mail: cust@igi-global.com
www.igi-global.com

 

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