[AISWorld] CFP: Extended deadline VLDB'16 Workshop on Real-Time Business Intelligence
Castellanos, Malu G
malu.castellanos at hpe.com
Sat Jun 11 05:29:25 EDT 2016
CALL FOR PAPERS
BIRTE 2016
Tenth International Workshop on Real-Time Business Intelligence
http://db.cs.pitt.edu/birte2016/
September 5, 2016
In conjunction with VLDB 2016
New Delhi, India
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Celebrating 10 years of bridging Academic and Industrial Innovation!
SCHOLARSHIPS
*** We will offer a few student scholarships for VLDB'16 Conference & Workshops registration sponsored by HPE Vertica and Google.
NOTE
Accepted papers will be indexed in DBLP and selected, extended papers will appear in an LNBIP volume published by Springer.
HIGHLIGHTS
3 keynotes by Rakesh Agrawal (Data Insights), Surajit Chauduri (Microsoft) and C Mohan (IBM).
1 invited talk by Stratos Idreos (Harvard)
1 industrial invited talk (Google)
IMPORTANT DATES
* Abstracts due: June 1, 2016 OPTIONAL -submissions are accepted without prior abstract submission
* Papers due: June 22, 2016 <-- EXTENDED (as requested)
* Notification of acceptance: July 15, 2016
* Camera-ready copies: August 15, 2016
DESCRIPTION
In today's competitive and highly dynamic environment, analyzing data to understand how the business is performing and to predict outcomes and trends has become critical. The traditional approach to reporting is no longer adequate. Instead users now demand easy-to-use intelligent platforms and applications capable of analyzing real-time data to provide insight and actionable information at the right time. The end goal is to support better and timelier decision making, enabled by the availability of up-to-date, high-quality information.
Although there has been progress in this direction and many companies are introducing products towards meeting this goal, there is still a long way to go. In particular, the whole lifecycle of business intelligence requires innovative techniques and methodologies capable of dealing with the requirements imposed by these new generation of BI applications. From the capture of real-time business data to the transformation and delivery of actionable information, all the stages of the Business Intelligence (BI) cycle call for new algorithms and paradigms to support value-added functionalities. These functionalities include dynamic integration of real-time data feeds from operational sources, optimization and evolution of ETL transformations and analytical models, and dynamic generation of adaptive real-time dashboards, just to name a few.
The series of BIRTE workshops, starting in 2006, have always been held in conjunction with VLDB. The series aims to provide a forum to discuss topics related to this emerging field and set research directions towards making business intelligence more real-time. Following the success of previous BIRTE editions (2006, 2008-2015) submissions for research, industrial, position, and demo papers on relevant topics are encouraged.
TOPICS OF INTEREST
Areas of particular interest for the workshop include (but are not limited to) the following, as THEY RELATE TO REAL-TIME BUSINESS INTELLIGENCE:
- Analytics as a service
- Analytics for Linked Data/semantic web
- Big Data systems and applications for high-velocity data
- Case studies and experience (lessons, pitfalls, guidelines) from real-time BI practice
- Challenges from advanced domains, e.g., energy data or sensor data
- Cloud intelligence
- Collaborative real-time BI
- Crowdsourcing and crowd intelligence
- Data capture in real-time
- Data mining, analytics, and OLAP for real-time decision support
- Data quality and cleansing
- Event-driven analytics
- Integration of prediction models with real-time and historical data
- Integration of open and private data
- Linking business strategies with real-time BI
- Novel architectures for real-time BI
- Optimization, performance, and scalability
- Privacy and security in real-time BI
- Real-time ETL, ELT, and beyond
- Streaming data, streaming engines
- Tuning and management of the real-time data warehouse
- Visualizing real-time data and information
We call for research, industrial, position, and demo submissions covering
these topics of interest. Papers describing real-time BI systems, platforms,
and applications are especially welcome.
SUBMISSION GUIDELINES
Papers should follow the LNCS format (see http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0l for details). The length of research and industrial papers should not exceed 16 pages, whereas the maximum page limit for position papers and demo papers are 8 and 4 pages, respectively. Papers in PDF should be submitted electronically to the review web site https://cmt.research.microsoft.com/BIRTE2016.
PROCEEDINGS
As in previous years, post-proceedings will be published as a LNBIP volume by Springer-Verlag.
ORGANIZERS
* General Chair
Meichun Hsu, Hewlett-Packard, USA
* PC Chairs
Malu Castellanos, Hewlett-Packard, USA
Panos K. Chrysanthis, University of Pittsburgh, USA
* PC Members
Christof Bornhoevd, RMS, USA
Eric Simon, SAP-BO, France
Evaggelia Pitoura, University of Ioannina, Greece
Howard Ho, IBM, USA
Karthik Ramasamy, Twitter, USA
Krithi Ramamritham, IIT Bombay, India
Mohamed Sharaf, Queensland University, Australia
Nesime Tatbul, Intel Labs and MIT, USA
Olga Papaemmanouil, Brandeis University, USA
Roger Barga, Amazon, USA
Shimin Chen, Chinese Academy of Sciences, China
Wolfgang Lehner, Dresden University of Technology, Germany
* Proceedings Chair
Kostas Pelechrinis, University of Pittsburgh, USA
* Web Master
Anatoli Shein, University of Pittsburgh, USA
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