4th International Winter School on Big Data

Timişoara, Romania, January 22-26, 2018

BigDat 2018 Registration Form

(form version 1.11 courses)


It is carried out through PayPal.

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When the registration form below is submitted, the PayPal button will appear with the appropriate data.

A fee of Euro 25 will be added automatically, to cover the transfer expenses PayPal will charge to the organizers.

If a pre-invoice is required for the payment to be initiated by the institution, you can ask for it.

Exceptionally, payment by bank transfer is possible. Ask for our bank coordinates.

Please notice that the registration is not complete until the fees have been received.

General remarks concerning payment:
  • Mention BigDat 2018 and your name in the subject of the PayPal form.
  • The payment will be acknowledged soon after it is received.
  • 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]
September 3, 2017310
September 26, 2017340
October 19, 2017370
November 11, 2017400
December 4, 2017430
December 27, 2017460
January 19, 2018490
On-site registration:520

Registration conditions

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

First name (with accents):

Surname (with accents)




(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 organizers and Universitatea de Vest 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

Saso Dzeroski (Jozef Stefan Institute), [introductory/intermediate] Multi-target Prediction: Techniques and Applications

Geoffrey C. Fox (Indiana University, Bloomington), [intermediate] Integration of HPC, Big Data Analytics and Software Ecosystem

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

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

Maurizio Lenzerini (Sapienza University of Rome), [intermediate/advanced] Semantic Technologies for Open Data Publishing

Bing Liu (University of Illinois, Chicago), [intermediate/advanced] Lifelong Learning and its Applications in NLP

B.S. Manjunath (University of California, Santa Barbara), [introductory] Unstructured (Big) Data

Folker Meyer (Argonne National Laboratory), [introductory/intermediate] Efficient Multi Cloud Execution of Reproducible Data Analytics using Common Workflow Language, AWE and SHOCK

Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences

Fionn Murtagh (University of Huddersfield), [introductory/advanced] The New Science of Big Data Analytics, Based on the Geometry and the Topology of Complex, Hierarchic Systems

Raymond Ng (University of British Columbia), [introductory] Mining and Summarizing Text Conversations

Srinivasan Parthasarathy (Ohio State University), [introductory/intermediate] Network Science Fundamentals

Hanan Samet (University of Maryland, College Park), [introductory/intermediate] Sorting in Space: Multidimensional, Spatial, and Metric Data Structures for Applications in Spatial Databases, Geographic Information Systems (GIS), and Location-based Services

Kyuseok Shim (Seoul National University), [introductory/intermediate] MapReduce Algorithms for Big Data Analysis

Jaideep Srivastava (University of Minnesota), [introductory/intermediate] Social Computing: Computing as an Integral Tool to Understanding Human Behavior and Solving Problems of Social Relevance

Jeffrey Ullman (Stanford University), [introductory] Big-data Algorithms That Aren't Machine Learning

Xiaowei Xu (University of Arkansas, Little Rock), [introductory/advanced] Mining Big Networked Data

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

Supplementary information:

Arriving Date:

Departure Date:

Notes for organizers:

Acknowledgment of the payment:

Security question:

How much is 6+3

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/.