[AISWorld] CFP: Real-Time Business Intelligence Workshop at VLDB 2015

Castellanos, Malu G malu.castellanos at hp.com
Tue Mar 24 14:15:05 EDT 2015

			  BIRTE 2015
   Ninth International Workshop on Real-Time Business Intelligence
			August 31st, 2015
		In conjunction with VLDB 2015
	     	      Kohala Coast, Hawaii

* Abstracts due: May 25, 2015
* Papers due: June 1, 2015
* Notification of acceptance: July 1, 2015
* Camera-ready copies: August 15, 2015


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, 2008-2013) submissions for research, industrial, position, and demo papers on relevant topics are encouraged. 


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.


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/BIRTE2015.


As in previous years, post-proceedings will be published as a LNBIP volume by Springer-Verlag.

* General Chair
	Meichun Hsu, Hewlett-Packard, USA

* PC Chairs
	Malu Castellanos, Hewlett-Packard, USA
	Panos K. Chrysanthis, University of Pittsburgh, USA

* Proceedings Chair	
	Kostas Pelechrinis, University of Pittsburgh, USA

* PC Members
       	Alejandro Buchmann, Technische Universität Darmstadt, Germany
	Badrish Chandramouli, Microsoft Research, USA	
	Shimin Chen,  Chinese Academy of Sciences, China
	Ben Chin Ooi, National University of Singapore, Singapore
	Howard Ho, IBM, USA
	Wolfgang Lehner, Dresden University of Technology, Germany
	Fatma Ozcan, IBM Almaden, USA 
	Torben B. Pedersen, Aalborg University, Denmark
	Evaggelia Pitoura, University of Ioannina, Greece
	Karthik Ramasamy, Twitter, USA
	Elke Rundensteiner, Worcester Polytechnic Institute, USA
	Mohamed Sharaf, Queensland University, Australia
	Eric Simon, SAP-BO, France
	Nesime Tatbul, Intel Labs and MIT, USA

Very Large Data Base Endowment Inc. (VLDB Endowment) is a non-profit organization incorporated in the United States for the sole purpose of promoting and exchanging scholarly work in databases and related fields throughout the world. One of its vehicles for achieving its objectives is the sponsorship and support of the annual VLDB conference, a premier annual international forum for database researchers, vendors, practitioners, application developers, and users. VLDB 2015 will take place at the Hilton Waikoloa Village on the beautiful Kohala Coast on the northwestern side of the Big Island of Hawai'i. Hawai'i Island is the largest of the Hawaiian Islands; it is also referred to as the "Orchid Island" and more famously defined by its size as the Big Island, making it an especially appropriate setting for a conference whose concerns include Big Data.

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