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3rd INTERNATIONAL WINTER SCHOOL ON BIG DATA
BigDat 2017
Bari, Italy
February 13-17, 2017
Organized by:
University of Bari "Aldo Moro"
Rovira i Virgili University
http://grammars.grlmc.com/BigDat2017/
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--- Early registration deadline: October 21, 2016 ---
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AIM:
BigDat 2017 will be a research training event with a global scope aiming at
updating participants 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 (to
biological and health sciences, to business, finance and transportation, to
online social networks, etc.). Main challenges of analytics, management and
storage of big data will be identified through 4 keynote lectures, 24 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:
In principle, graduate students, PhD students and postdocs from around the
world will be the most typical profiles. However, there are no formal
pre-requisites for participation in terms of academic degrees. Since there will
be differences in level, specific knowledge background may be assumed for some
of the courses. BigDat 2017 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, 2-3 courses will run in parallel during the whole
event. Participants will be able to freely choose the courses they wish to
attend as well as to move from one to another.
VENUE:
BigDat 2017 will take place in Bari, a lively university city on the Adriatic
Sea in Southern Italy. The venue will be:
Department of Computer Science
University of Bari "Aldo Moro"
via Orabona, 4
70125 Bari, Italy
KEYNOTE SPEAKERS:
tba
PROFESSORS AND COURSES:
Thomas Bäck (Leiden University), [introductory/intermediate] Data Analytics and
Optimization for Industrial Applications: Introduction, Algorithms, and Examples
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
Amr El Abbadi (University of California, Santa Barbara),
[introductory/intermediate] Managing Big Data in the Cloud
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 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 in 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
John Wright (Columbia University), [intermediate/advanced] Sparse and
Low-Dimensional Models for High-Dimensional Data: Theory, Algorithms and
Applications
Zhongfei Zhang (Binghamton University), [introductory/advanced] Knowledge
Discovery from Relational and Multimedia Data
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 florentinalilica.voicu (at) urv.cat by
February 10, 2017.
ORGANIZING COMMITTEE:
Annalisa Appice
Michelangelo Ceci (co-chair)
Stefano Franco
Corrado Loglisci
Donato Malerba (co-chair)
Carlos Martín-Vide (co-chair)
Manuel Jesús Parra Royón
Gianvito Pio
Florentina Lilica Voicu
REGISTRATION:
It has to be done at
http://grammars.grlmc.com/BigDat2017/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:
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 for accommodation are available on the website.
CERTIFICATE:
Participants will be delivered a certificate of attendance.
QUESTIONS AND FURTHER INFORMATION:
florentinalilica.voicu (at) urv.cat
ACKNOWLEDGEMENTS:
Università degli Studi di Bari Aldo Moro
Universitat Rovira i Virgili
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