BigDat 2016: early registration deadline 22 September

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2ND
INTERNATIONAL WINTER SCHOOLON BIG DATA 

  

BIGDAT 2016 

BILBAO, SPAIN


FEBRUARY 8-12, 2016 

Organized by: 

Deusto University 

Rovira i
Virgili University 

http://grammars.grlmc.com/BigDat2016/


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--- Early
registration deadline: September 22, 2015 ---


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AIM:


BigDat 2016 will be a research training event addressed to graduates
and postgraduates in the first steps of their academic career. With a
global scope, it aims at updating them about the most recent advances in
the critical and fast developing area of big data, which covers a large
spectrum of current exciting research and industrial innovation with an
extraordinary potential for a huge impact on scientific discoveries,
medicine, engineering, business models, and society itself. Renowned
academics and industry pioneers will lecture and share their views with
the audience. 

Most big data subareas will be displayed, namely:
foundations, infrastructure, management, search and mining, security and
privacy, and applications. Main challenges of analytics, management and
storage of big data will be identified through 5 keynote lectures, 16
six-hour courses, and 1 round table, which will tackle the most active
and promising topics. The organizers are convinced that outstanding
speakers will attract the brightest and most motivated students.
Interaction will be a main component of the event. An open session will
give participants the opportunity to present their own work in progress
in 5 minutes. 

ADDRESSED TO: 

Graduates and postgraduates from around
the world. There are no formal pre-requisites in terms of academic
degrees. However, since there will be differences in the course levels,
specific knowledge background may be assumed for some of them. BigDat
2016 is also appropriate for more senior people who want to keep
themselves updated on recent developments and future trends. All will
surely find it fruitful to listen and discuss with major researchers,
industry leaders and innovators. 

REGIME: 

In addition to keynotes, at
least 2 courses will run in parallel during the whole event.
Participants will be able to freely choose the courses they will be
willing to attend as well as to move from one to another. 

VENUE:


BigDat 2016 will take place in Bilbao, the capital of the Basque
Country region, famous for its gastronomy and the seat of the
GuggenheimMuseum. The venue will be: 

DeustoTech, School of Engineering


DeustoUniversity 

Avda. Universidades, 24 

48014 Bilbao 

KEYNOTE
SPEAKERS: 

tba 

PROFESSORS AND COURSES: (to be completed) 

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 

Edward
Y. Chang (HTC Health, Taipei), [introductory/intermediate] Big Data
Analytics for Healthcare: Scalable Algorithms and Applications 

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

Ernesto Damiani (University of Milan), tba 

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


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

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

Geoff McLachlan (University of Queensland), tba


Wladek Minor (University of Virginia), [introductory/intermediate] Big
Data and Structural Biology and Chemistry 

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

Hanan Samet (University of
Maryland), [introductory/intermediate] Sorting in Space 

Jeffrey Ullman
(StanfordUniversity), [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/advanced] Large Scale Graph Analytics and Mining 

OPEN
SESSION 

An open session will collect 5-minute presentations of work in
progress by participants. They should submit a half-page abstract
containing title, authors, and summary of the research to adrian.dediu
(at) urv.cat by February 5, 2016. 

ORGANIZING COMMITTEE: 

Adrian Horia
Dediu 

Carlos Martín-Vide (co-chair) 

Borja Sanz (co-chair)


Florentina Lilica Voicu 

REGISTRATION: 

It has to be done at


http://grammars.grlmc.com/bigdat2016/registration.php 

The selection
of up to 8 courses requested in the registration template is only
tentative and non-binding. For the sake of organization, it will be
helpful to have an approximation of the respective demand for each
course. 

Since the capacity of the venue is limited, registration
requests will be processed on a first come first served basis. The
registration period will be closed and the on-line registration facility
disabled when the capacity of the venue will be complete. It is much
recommended to register prior to the event. 

FEES: 

Participants are
expected to attend full-time. Fees are a flat rate allowing the
attendance to all courses during the week. There are several early
registration deadlines. Fees depend on the registration deadline.


ACCOMMODATION: 

Suggestions of accommodation will be available on the
webpage in due time. 

CERTIFICATE: 

Participants will be delivered a
certificate of attendance. 

QUESTIONS AND FURTHER INFORMATION:


florentinalilica.voicu (at) urv.cat 

ACKNOWLEDGEMENTS:


DeustoUniversity 

Rovira i VirgiliUniversity 

 
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