BigDat 2017

3rd INTERNATIONAL WINTER SCHOOL ON BIG DATA
  • Quando dal 13/02/2017 00:05 al 17/02/2017 23:55 (Europe/Berlin / UTC100)
  • Dove Bari, Computer Science Department
  • Contatti
  • Telefono +390805443262
  • Sito web Visita il sito
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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, 20 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.

************    Early registration deadline: August 26, 2016 *****************************

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: (to be completed)

Thomas Bäck (Leiden University), [introductory/intermediate] Data Analytics
and Optimization for Industrial Applications: Introduction, Algorithms, and
Examples

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

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

Amr El Abbadi (University of California, Santa Barbara), tba

Geoffrey C. Fox (Indiana University), tba

Minos Garofalakis (Technical University of Crete), tba

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

Joydeep Ghosh (University of Texas, Austin), [intermediate/advanced]
Multi-learner Systems for Big Data

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

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

Jiebo Luo (University of Rochester), [introductory/advanced] Big Data.
Strong Health. Better Life

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), tba

Pierangela Samarati (University of Milan), [intermediate] Data Protection in
the Cloud

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

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)
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 will be available in due time.

CERTIFICATE:

Participants will be delivered a certificate of attendance.

QUESTIONS AND FURTHER INFORMATION:

florentinalilica.voicu (at) urv.cat

ACKNOWLEDGEMENTS:

University of Bari "Aldo Moro"
Rovira i Virgili University

Azioni sul documento

published on 29/07/2016 ultima modifica 05/10/2022 scaduto
Hanno contribuito: claudia.damato