ADBIS Special session on Big DataNew Trends and Applications

(BiDaTA 2013)

Genoa, Italy


ADBIS Special session on Big Data: New Trends and Applications 

(BiDaTa 2013)
Sept. 1st 2013, Genoa, Italy

In conjunction with the 17th East-European Conference on Advances in
Databases and Information Systems (ADBIS 2013)
September 1-4, 2013, Genoa, Italy



Session overview

Large volumes of data (Big Data) are being produced by various modern applications at an ever increasing rate. These applications range from wireless sensors networks (e.g., climate/weather monitoring, intelligent mobility, water metering) to social networks and e-commerce applications. Innovative data models, algorithms, and architectures have to be designed to deal with the “Big Data four V-dimensions”, namely Volume, Velocity, Variety, and Veracity. These new paradigms of software and hardware design should efficiently store, manage, and analyze such huge data volumes, providing the necessary scalability and flexibility for novel big data analytics applications. These challenges have been attracting great attention from both academia and industry.

This session will provide a forum for researchers, professionals, and practitioners in the industry sectors to discuss the research issues and share new ideas and techniques for big data management and analysis/analytics. We welcome research papers, application papers, and papers on experience reports on various aspects of big data.

Topics of interest

Topics of interest for this session include but are not limited to the following:

  • Big Data models, algorithms, and architectures
  • Programming techniques for Big Data processing
  • Cloud computing techniques for Big Data
  • Big Data management
  • Big Data integrity and privacy
  • Big Data search and mining
  • Big Data analytics and visualization
  • Research challenges on Big Data management and analytics
  • Big Data applications
  • Case studies on Big Data management and analytics
  • Experiences with Big Data project development and deployment

Important dates

  • Submission Deadline: May 22, 2013  *** STRICT DEADLINE ***
  • Acceptance Notification: June 5, 2013
  • Camera-Ready Submission: June 10, 2013

Submission instructions

Submissions should present original results and substantial new work not currently under review or published elsewhere. This session accepts:

  • Research papers (up to 10 pages) including novel approaches to deal with big data issues.
  • Application papers (up to 5 pages) describing applications on big data issues.
  • Industrial papers (up to 5 pages) describing experiences in the industry sectors.

Papers must comply with the AISC formatting guidelines (instructions for authors are available at Papers should be submitted in PDF format using the online submission system (, selecting "Special Session on Big Data: New Trends and Applications".


Session papers will be published by Springer-Verlag in the AISC series (Advances in Intelligent Systems and Computing).

Extended versions of the best session papers will be published after the conference in LNCS Journal Transactions on Large-Scale Data and Knowledge-Centered Systems, Springer ( which is indexed by DBLP and Scopus.

Session Co-Chairs

Tania Cerquitelli (Politecnico di Torino, Italy)
Silvia Chiusano (Politecnico di Torino, Italy)
Mirko Kämpf (Cloudera, Inc., US)

Program Committee

Alexander Borusan (TU Berlin, Germany)
Andreas Both (Unister GmbH, Germany)
Michelangelo Ceci (University of Bari, Italy)
Byung-Gon Chun (Microsoft, US)
Paolo Garza (Politecnico di Torino, Italy)
Ziyang Liu (NEC Laboratories America)
Stefano Paraboschi (University of Bergamo, Italy)
Domenico Saccà (University of Calabria, Italy)
Claudio Sartori (University of Bologna, Italy)
Marco Luca Sbodio (IBM Research, Ireland)
Rusty Sears (Microsoft, US)
Andrea Tagarelli (University of Calabria, Italy)
Riccardo Torlone (Università Roma Tre, Italy)
Filip Zavoral (Charles University in Prague, Czech Republic)

Contact Information

If you have any questions or queries on BiDaTA session 2013, please send an email to This email address is being protected from spambots. You need JavaScript enabled to view it..