2nd International Winter School on Big Data

Bilbao, Spain, February 8-12, 2016

BigDat 2016 Registration Form

(form version 1.11 courses)


  1. Either by bank transfer to:

    Uno-e Bank
    bank's address: Julian Camarillo 4 C, 28037 Madrid, Spain
    IBAN: ES3902270001820201823142
    account holder: C. 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 order was carried out 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 2016 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, 2015310
September 22, 2015340
October 19, 2015370
November 15, 2015400
December 12, 2015430
January 8, 2016460
February 5, 2016490
February 12, 2016520

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 Deusto staff)

Please indicate maximum 8 courses you would tentatively like to attend.

Nektarios Benekos (European Organization for Nuclear Research), [introductory/intermediate] Exploring the Mysteries of our Cosmos: the Big Deal between Big Data and Big Science

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

Nello Cristianini (University of Bristol), [introductory] THINKBIG: Towards Large Scale Computational Social Sciences, History and Digital Humanities

Ernesto Damiani (University of Milan and EBTIC/Khalifa University), [introductory/intermediate] Architectures, Models and Tools for Big-Data-as-a-Service

Francisco Herrera (University of Granada), [introductory] Big Data Preprocessing

Chih-Jen Lin (National Taiwan University), [introductory/intermediate] Large-scale Linear Classification

George Karypis (University of Minnesota), [intermediate/advanced] Scaling Up Recommender Systems

Geoff McLachlan (University of Queensland), [intermediate/advanced] Big Data Extensions of Some Methods of Classification and Clustering

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

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

Sankar K. Pal (Indian Statistical Institute), [introductory/advanced] Machine Intelligence and Granular Mining: Relevance to Big Data

Erhard Rahm (University of Leipzig), [introductory/intermediate] Scalable and Privacy-preserving Data Integration

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

Jaideep Srivastava (Qatar ComputingResearch Institute), [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

Alexandre Vaniachine (Argonne National Laboratory), [introductory/advanced] Big Data: Comparison with Computational Models

Xiaowei Xu (University of Arkansas, Little Rock), [introductory/advanced] Big Data Analytics for Social Networks

Mohammed J. Zaki (Rensselaer Polytechnic Institute), [introductory/intermediate] Large Scale Graph Analytics and Mining

Supplementary information:

Arriving Date:

Departure Date:

Notes for organizers:

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/.