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Scope
With quintillions of data bytes created daily, analytics can play a significant role in improving the implementation, management and delivery of information technology services. Approaches such as statistical analysis, data mining, and machine learning are promising mechanisms to harness this immense stream of service and application data to meet the needs of an organization. The main goal of AnServApp is to present research and work-in- progress results in the area of data analytics, machine learning and cognitive science for service and application management.
Topics of Interest
Topics of Interest include but are not limited to:
AI/ML powered ticket resolution
Event log analysis
Knowledge management
Predictive maintenance
Asset tracking and provisioning
Workload optimization
Sentiment analysis
Social media
Submission of Papers
Authors are invited to submit original unpublished papers that are not already under review elsewhere. Submissions will be subjected to a peer-review process. Papers should be prepared in IEEE 2-column format and must not exceed 6 pages. Short papers are accepted as well and must not exceed 4 pages.
The workshop attendees will be stimulated to participate in interesting discussions. To this end, short papers describing late-breaking advances and work-in-progress reports from ongoing research are also welcomed. These should also be in IEEE 2-column format between 2 to 4 pages in length.
Papers have to be submitted electronically in PDF format through the EDAS conference management system, accessible via the following link: http://edas.info/N26361
Important Dates
Paper Submission: Agust 10, 2019
Notification: September 02, 2019
Camera Ready: September 16, 2019
Proceedings
Papers accepted and presented at AnServApp will be published open access on the conference Web site with IFIP copyright, and will be submitted for possible inclusion in IEEE Xplore, ACM and IFIP Digital Libraries. To be published in the Workshop Proceedings and to be eligible for publication, at least one author of an accepted paper is required to register and present the paper at the workshop. The organizer reserves the right to exclude a paper from distribution after the conference (including its removal from IEEE Xplore) if the paper is not presented at the conference.
Workshop Co-Chairs
Khurram Aziz, Dalhousie University, Canada
Pal Varga, Budapest University of Technology and Economics, Hungary
Rita Orji, Dalhousie University, Canada
Ashiq Anjum, University of Derby, UK
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