[AISWorld] CFP: VLDB 2018 Workshop on Real-TIme Business Intelligence & Analytics

[Castellanos, Malu]

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Paper deadline is extended to June 8, 20017 due to multiple conflicting deadlines
      Abstract submission is optional but encouraged by June 2, 2017
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                  ***  CALL FOR PAPERS  ***

                          BIRTE 2017
Eleventh International Workshop on Real-Time Business Intelligence 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"

SCHOLARSHIPS

BIRTE 2017 offers student scholarships for the workshop, VLDB Conference & Friday Workshops, sponsored by US National Science Foundation and Google.

IMPORTANT DATES  *** New extended Deadlines ***

* Abstracts due: June 2, 2017 (OPTIONAL)
* Papers due: June 8, 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 (commercial, health, governmental and security) 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 & DATA ANALYTICS:

-       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://cmt3.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.


ORGANIZATION

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

* PC Members
  Stefan Appel, Siemens, Germany
  Alejandro Buchmann, Technische Universität Darmstadt, Germany
  Shimin Chen, Chinese Academy of Sciences, China
  Avrilia Floratou, Microsoft, USA
  Ashish Gupta, Google, USA
  Howard Ho, IBM Almaden, USA
  Wolfgang Lehner, Dresden University of Technology, Germany
  Marco Mellia, Politecnico di Torino, Italy
  Themis Palpanas, Paris Descartes University
  Panickos Neophytou, NetBeez, USA
  Olga Papaemmanouil, Brandeis University, USA
  Evvagelia Pitoura, University of Ioannina, Greece
  Mohamed Sharaf, Queensland University, Australia
  Nesime Tatbul, Intel Labs and MIT, USA

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

* Web Master
  Anatoli Shein, University of Pittsburgh, USA