3^rd International Winter School on Big Data

Bari, Italy, February 13-17, 2017

Organized by

University of Bari "Aldo Moro"
Rovira i Virgili University

Aims

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, 23 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:

• Ernesto Damiani (University of Milan), Model-driven Development of Big Data Applications
• Daniele Quercia (Bell Labs), Good City Life

Professors and Courses

• 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
• 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 Network 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
• Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences
• Soumya D. Mohanty (University of Texas Rio Grande Valley), [introductory/intermediate] Swarm Intelligence Methods and Optimization Problems in Big Data Analytics
• Fionn Murtagh (University of Huddersfield), [introductory/advanced] The New Science of Big Data Analytics, Based on the Geometry and the Topology of Complex, Hierarchic Systems
• 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 and 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
• Zhongfei Zhang (Binghamton University), [introductory/advanced] Relational and Media Data Learning and Knowledge Discovery

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 David Silva (david.silva409 (at) yahoo.com) by February 10, 2017.

Registration

It has to be done at Registration link.

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

See contact information on the right-hand side of the page.

Acknowledgements

Università degli Studi di Bari Aldo Moro

La universitat pública de Tarragona

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