3rd International Winter School on Big Data

Bari, Italy, February 13-17, 2017

BigDat 2017 Registration Form

(form version 1.11 courses)


  1. Either by bank transfer to:

    bank's address: Apartado de Correos, 1086, 28014 Madrid, Spain
    IBAN: ES13 0073 0100 51 0403506598
    account holder: Carlos Martin – GRLMC
    account holder’s address: Av. Catalunya 35, 43002 Tarragona, Spain

  2. Remarks: (1) Bank transfers should not involve any expense for the School. (2) Participants claiming early registration will be requested to prove that the bank transfer was executed by the deadline in case the fees arrive later.

  3. Or by PayPal.

  4. Remark: An extra fee of Euro 25 will be added automatically, to cover the transfer expenses PayPal will charge to the organizers.

General remarks concerning payment:
  • Mention BigDat 2017 and your name in the subject.
  • A receipt will be provided on site.
  • Participants registering on site must pay in cash. For the sake of local organization, however, it is much recommended to do it earlier.


Fees comprise access to all courses and lunches.

Registration deadlines and fees

Paid until Full [Euro]
August 26, 2016310
September 23, 2016340
October 21, 2016370
November 18, 2016400
December 16, 2016430
January 13, 2017460
February 10, 2017490
February 17, 2017520

Registration conditions

Please provide the following contact information: (bold fields are mandatory)!

1 The default values for City and Country fields are based on the client IP remote address. This information might be not very accurate (due to ISP policies, proxy connections, etc.), and we kindly ask you to provide the right values for the registration form.


Name in Latex:
(with accents, please)

(Prof., Dr., Mr., Mrs.)


(Professor, Researcher, PhD student, etc.)




Please provide the following academic background:

Degree (PhD, Masters, Bachelor, etc.):


Speciality (if any):

Registration Type:

520 Euro: Full

free: (only University of Bari "Aldo Moro" staff)

Please select 8 courses you would tentatively like to attend. (This selection is only for organizational purposes and nonbinding for you.)

Paul Bliese (University of South Carolina), [introductory/intermediate] Using R for Mixed-effects (Multilevel) Models

Hendrik Blockeel (KU Leuven), [intermediate] Decision Trees for Big Data Analytics

Tamás Budavári (Johns Hopkins University), [introductory] Big Data Approaches in Astronomy

Diego Calvanese (Free University of Bozen-Bolzano), [advanced] Data-aware Processes: Modeling and Verification

Geoffrey C. Fox (Indiana University), [intermediate] Using High Performance Computing for Big Data Analytics

Minos Garofalakis (Technical University of Crete), [intermediate/advanced] Streaming Big Data Analytics

David W. Gerbing (Portland State University), [introductory] Data Visualization with R

Georgios B. Giannakis (University of Minnesota), [advanced] Signal Processing Tools for Big Network Data Analytics

Sander Klous(University of Amsterdam), [introductory] We Are Big Data

Laks V.S. Lakshmanan (University of British Columbia), [introductory] Analysis of Large Social Networks

Maurizio Lenzerini (Sapienza University of Rome), [intermediate/advanced] Ontology-based Data Management

Soumya D. Mohanty (University of Texas Rio Grande Valley), [introductory/intermediate] Swarm Intelligence Methods and Optimization Problems in Big Data Analytics

Bernhard Pfahringer (University of Waikato), [introductory] Introduction to Data Stream Mining for Big Data

Krithi Ramamritham (Indian Institute of Technology Bombay), [introductory/intermediate] Harnessing Big Data for Building Smart Things

Michael Rosenblum (University of Potsdam), [introductory/intermediate] Coupled Oscillators Approach in Time Series Analysis

Pierangela Samarati (University of Milan), [intermediate] Data Security and Privacy in the Cloud

V.S. Subrahmanian (University of Maryland), [introductory/intermediate] Big Data and Cybersecurity

Alexander S. Tuzhilin (New York University), [introductory/intermediate] Recommender Systems and Big Data

Jeffrey Ullman (Stanford University), [introductory] Big Data Algorithms that Aren't Machine Learning

Lyle Ungar (University of Pennsylvania), [introductory] Sentiment Mining from User Generated Content

Zhongfei Zhang (Binghamton University), [introductory/advanced] Knowledge Discovery from Relational and Multimedia Data

Supplementary information:

Arriving Date:

Departure Date:

Notes for organizers:

Security question:

How much is 3+1

Acknowledgement and Copyright Notice

To get City and Country information we use the GeoLite City databases, and the free server library provided by MaxMind (Copyright (c) 2008 MaxMind, Inc.) for which there is an OPEN DATA LICENSE.

This product includes GeoLite data created by MaxMind, available from http://www.maxmind.com/.