Kein Betreff

Practice on Real Datasets

Ernesto Damiani (University of Milan), [introductory/intermediate] =
Process
Discovery and Predictive Decision Making from Big Data Sets and Streams

Gautam Das (University of Texas, Arlington), [intermediate/advanced] =
Mining
Deep Web Repositories

Maarten de Rijke (University of Amsterdam), tba

Geoffrey C. Fox (Indiana University, Bloomington), [intermediate] Using
Software Defined Systems to Address Big Data Problems

Minos Garofalakis (Technical University of Crete, Chania)
[intermediate/advanced], Querying Continuous Data Streams

Vasant G. Honavar (Pennsylvania State University, University Park)
[introductory/intermediate], Learning Predictive Models from Big Data

Mounia Lalmas (Yahoo! Research Labs, London), [introductory] Measuring =
User
Engagement

Tao Li (Florida International University, Miami),
[introductory/intermediate] Data Mining Techniques to Understand Textual
Data

Kwan-Liu Ma (University of California, Davis), [intermediate] Big Data
Visualization

Christoph Meinel (Hasso Plattner Institute, Potsdam),
[introductory/intermediate] New Computing Power by In-Memory and =
Multicore
to Tackle Big Data

David Padua (University of Illinois, Urbana-Champaign), [intermediate] =
Data
Parallel Programming

Manish Parashar (Rutgers University, Piscataway), [intermediate] Big =
Data in
Simulation-based Science

Srinivasan Parthasarathy (Ohio State University, Columbus), =
[intermediate]
Scalable Data Analysis

Evaggelia Pitoura (University of Ioannina), [intermediate] Online Social
Networks

Vijay V. Raghavan (University of Louisiana, Lafayette),
[introductory/intermediate] Visual Analytics of Time-evolving =
Large-scale
Graphs

Pierangela Samarati (University of Milan), [intermediate], Data Security =
and
Privacy in the Cloud

Peter Sanders (Karlsruhe Institute of Technology),
[introductory/intermediate] Algorithm Engineering for Large Data Sets

Johan Suykens (Katholieke Universiteit Leuven), =
[introductory/intermediate]
Fixed-size Kernel Models for Big Data

Domenico Talia (University of Calabria, Rende), [intermediate] Scalable =
Data
Mining on Parallel, Distributed and Cloud Computing Systems

Jieping Ye (Arizona State University, Tempe), [introductory/advanced]
Large-Scale Sparse Learning and Low Rank Modeling

ORGANIZING COMMITTEE:

Adrian Horia Dediu (Tarragona)
Carlos Mart=EDn-Vide (Tarragona, chair)
Florentina Lilica Voicu (Tarragona)

REGISTRATION:

It has to be done at

http://grammars.grlmc.com/bigdat2015/registration.php=20

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:

As far as possible, participants are expected to stay full-time. Fees =
are a
flat rate covering 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 provided in due time.

CERTIFICATE:

Participants will be delivered a certificate of attendance.

QUESTIONS AND FURTHER INFORMATION:

florentinalilica.voicu at urv.cat=20

POSTAL ADDRESS:

BigDat 2015
Lilica Voicu
Rovira i Virgili University
Av. Catalunya, 35
43002 Tarragona, Spain

Phone: +34 977 559 543
Fax: +34 977 558 386

ACKNOWLEDGEMENTS:

Universitat Rovira i Virgili