Transforming the IT Services Lifecycle with AI Technologies

[1]  Anup K. Kalia,et al.  Cataloger: Catalog Recommendation Service for IT Change Requests , 2017, ICSOC.

[2]  Karin Murthy,et al.  COACH: Cognitive analytics for change , 2017, 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM).

[3]  Karin Murthy,et al.  Understanding the role of change in incident prevention , 2016, 2016 12th International Conference on Network and Service Management (CNSM).

[4]  Faruk Bulut Performance evaluations of supervised learners on imbalanced datasets , 2016, 2016 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT).

[5]  Larisa Shwartz,et al.  Towards establishing causality between change and incident , 2016, NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium.

[6]  Sotiris Kotsiantis,et al.  A hybrid Machine Learning methodology for imbalanced datasets , 2014, IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications.

[7]  David Lanyi,et al.  Classifying server behavior and predicting impact of modernization actions , 2013, Proceedings of the 9th International Conference on Network and Service Management (CNSM 2013).

[8]  Liang Tang,et al.  Recommending resolutions for problems identified by monitoring , 2013, 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013).

[9]  Bikram Sengupta,et al.  SmartDispatch: enabling efficient ticket dispatch in an IT service environment , 2012, KDD.

[10]  Alfons Kemper,et al.  Efficient verification of IT change operations or: How we could have prevented Amazon's cloud outage , 2012, 2012 IEEE Network Operations and Management Symposium.

[11]  Guillermo Sapiro,et al.  Online Learning for Matrix Factorization and Sparse Coding , 2009, J. Mach. Learn. Res..