[AISWorld] CFP: VLDB'17 Workshop on Real-Time BI and Analytics

[Malu Castellanos]

	 	  Preliminary CALL FOR PAPERS
		 	  BIRTE 2017
   Eleventh International Workshop on Real-Time BI and Analytics
	        http://db.cs.pitt.edu/birte2017/
			August 28, 2017
		In conjunction with VLDB 2017
	     	      Munich, Germany
			
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HIGHLIGHTS

Keynote by Roger Barga, General Manager at Amazon Web Services:
"Stream Data Processing at Scale - Pulling an elephant through the eye
of a needle"

Student scholarships for VLDB'17 Conference & Workshops registration
sponsored by Google.

IMPORTANT DATES

* Abstracts due: May 22, 2017 (OPTIONAL)
* Papers due: June 1, 2017
* Notification of acceptance: July 1, 2017
* Camera-ready copies: August 15, 2017

DESCRIPTION

In today's competitive and rapidly changing environment of the era of
"Big Data", organizations increasingly want to be able to base their
decisions on the latest set of raw data and the real-time analytics
derived from them. What users demand now are easy-to-use intelligent
platforms and applications capable of analyzing large volumes of
real-time business data to provide insight and actionable information
at the right time. The end goal is to improve the enterprise
performance by better and timelier decision making, enabled by the
availability of up-to-date, high quality information. We are in the
midst of an era where acting fast can make all the difference between
succeeding and failing. Hence, it is natural that there is an
increasing focus on real-time processing in the academia as well as in
industry.

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 operation and
business intelligence (BI) 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 and operation data to the transformation and delivery of
actionable information, all the stages of the BI cycle call for new
algorithms and paradigms as the basis of new functionalities including
dynamic integration of event streams and data feeds from operational
sources, evolution of ETL transformations and analytical models, query
processing over stream and historical data, dynamic generation of
adaptive dashboards that support data exploration and infrastructure
that facilitates all of the above, 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 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 OPERATION &
BUSINESS INTELLIGENCE:

-	Analytics as a service
-       Analytics engines
-	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
-	Data capture in real-time
-	Data mining, analytics, and OLAP for real-time decision support
-	Event-driven analytics
-	Integration of prediction models with real-time and historical data
-	Novel architectures and in-memory approaches for real-time analytics
-	Optimization, performance, and scalability
-	Privacy and security in real-time BI
-	Real-time ETL, ELT, and beyond
-       Real-time analytics
-	IoT, 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/BIRTE2017.

PROCEEDINGS

As in previous years, post-proceedings will be published as a LNBIP
volume by Springer-Verlag.  Accepted papers will be indexed in DBLP
and all places LNBIP is indexed.


ORGANIZERS

* General Chairs
  Malu Castellanos and
  Panos K. Chrysanthis, University of Pittsburgh, USA

* Proceedings Chair	
  Damianos Chatziantoniou, Athens University of Economics and Business
(AUEB), Greece

* Web Master
  Anatoli Shein, University of Pittsburgh, USA