ADMS 2018: International Workshop on AI and Data Mining for Services Hangzhou, China, November 12, 2018 |
Conference website | https://sites.google.com/view/servicemining/home |
Submission link | https://easychair.org/conferences/?conf=adms2018 |
Submission deadline | September 3, 2018 |
Service management has been increasingly challenging for IT enterprises that create, deploy, and maintain services and infrastructure for a variety of customers and produce data at a large volume and velocity. At any given point, these enterprises need to know a myriad of information regarding the status, risk/compliance, business objectives, and operational health of the services involved. Further, business goal alignment and customer experience need to be prioritized and, accordingly, managed in an agile and optimized manner. To do so, enterprises are constantly seeking novel technologies and solutions in cognitive platforms, advanced analytics and learning, and interactive frameworks. With the proliferation of cloud computing, microservice architectures and IoT data fabrics, the enterprises face new challenges in operating their business with increased efficiency, reduced cost, faster time-to-market, and enhanced customer experience. For example, enterprises such as Amazon and Google can create, deploy and market new features/capabilities multiple times within the same day.
The problem of rapid change in enterprises demands the exploration of new directions and possible innovations. To be successful in this endeavor, we require forums of both academic and industry researchers, and practitioners. We propose this workshop to combine research efforts on eight timely challenges with immediate industry applications:
- Cognitive service frameworks
- IT service analytics
- Conversational IT services
- Cognition and learning in process management
- Security, risk, and compliance
- Social aspects in microservice ecosystem
- Cognitive solutions for cloud management
- Cognitive solutions for Internet of Things (IoT)
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Full paper track (maximum 15 pages) : This track focuses on significant research contribution
- Short paper track (maximum 8 pages): This highlights visionary ideas
- PhD Thesis Presentation (15-20 slides): This allows PhD students to discuss their PhD thesis with a broader audience
- Demonstrations (maximum 4 pages): This allows participants to submit their research contributions in the form of a demo
Committees
Program Committee
- Aditya Ghose, University of Wollongong, Australia
- Chunqiu Zeng, Google, US
- Jingmin Xu, IBM Research, China
- Liang Tang, Google, US
- Munindar Singh, North Carolina State University, US
- Maja Vukovic, IBM T. J. Watson Research Center, NY, US
- Pengfei Chen, Sun Yat-sen University, China
- Qi Yu, Rochester Institute of Technology, US
- Samir Tata, IBM Almaden Research Center, CA, US
- Schahram Dustdar, TU Vienna, Austria
Organizing committee
- Anup Kalia, IBM T. J. Watson Research Center, NY, US (anup.kalia@ibm.com)
- Jin Xiao, IBM T. J. Watson Research Center, NY, US (jinoaix@us.ibm.com)
- Fanjing Meng, IBM Research Lab, Beijing, China (mengfj@cn.ibm.com)
- Larisa Shwartz, IBM T. J. Watson Research Center, NY, US (lshwart@us.ibm.com)
- Ying Li, Peking University, Beijing, China (li.ying@pku.edu.cn)
Contact
All questions about submissions should be emailed to kaliaanup@gmail.com