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boundary="-------56a9372608cba" Content-Transfer-Encoding: 7bit X-Validation-by: grlmc@grlmc.com Subject: [Caml-list] BigDat 2016: registration deadline 5 February This is a multi-part message in MIME format ---------56a9372608cba Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable *To be removed from our mailing list, please respond to this message with U= NSUBSCRIBE in the subject line* ******************************************************** 2nd INTERNATIONAL WINTER SCHOOL ON BIG DATA BigDat 2016 Bilbao, Spain February 8-12, 2016 Organized by: DeustoTech, University of Deusto Rovira i Virgili University http://grammars.grlmc.com/bigdat2016/ ******************************************************** --- Regular registration deadline: February 5, 2016 --- ******************************************************** AIM: BigDat 2016 will be a research training event addressed to graduates and po= stgraduates in the first steps of their academic career. With a global scop= e, 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 curr= ent exciting research and industrial innovation with an extraordinary poten= tial for a huge impact on scientific discoveries, medicine, engineering, bu= siness 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, infrastructu= re, management, search and mining, security and privacy, and applications. = Main challenges of analytics, management and storage of big data will be id= entified through 4 keynote lectures, 18 six-hour courses, and 1 round table= , which will tackle the most active and promising topics. The organizers ar= e convinced that outstanding speakers will attract the brightest and most m= otivated students. Interaction will be a main component of the event. An op= en 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 diffe= rences in the course levels, specific knowledge background may be assumed f= or 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 researche= rs, 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 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 re= gion, famous for its gastronomy and the seat of the Guggenheim Museum. The = venue will be: DeustoTech, School of Engineering University of Deusto Avda. Universidades, 24 48014 Bilbao KEYNOTE SPEAKERS: Nektarios Benekos (European Organization for Nuclear Research), Role of Com= puting and Software in Particle Physics Chih-Jen Lin (National Taiwan University), When and When Not to Use Distrib= uted Machine Learning Jeffrey Ullman (Stanford University), Theory of MapReduce Algorithms Alexandre Vaniachine (Argonne National Laboratory), Big Data Technologies a= nd Data Science Methods in the Higgs Boson Discovery PROFESSORS AND COURSES: Nektarios Benekos (European Organization for Nuclear Research), [introducto= ry/intermediate] Exploring the Mysteries of our Cosmos: the Big Deal betwee= n Big Data and Big Science Hendrik Blockeel (KU Leuven), [intermediate] Decision Trees for Big Data An= alytics Nello Cristianini (University of Bristol), [introductory] THINKBIG: Towards= Large Scale Computational Social Sciences, History and Digital Humanities Ernesto Damiani (University of Milan & EBTIC/Khalifa University), [introduc= tory/intermediate] Architectures, Models and Tools for Big-Data-as-a-Service Francisco Herrera (University of Granada), [introductory] Big Data Preproce= ssing George Karypis (University of Minnesota), [intermediate/advanced] Scaling U= p Recommender Systems Chih-Jen Lin (National Taiwan University), [introductory/intermediate] Larg= e-scale Linear Classification Geoff McLachlan (University of Queensland), [intermediate/advanced] Big Dat= a Extensions of Some Methods of Classification and Clustering Wladek Minor (University of Virginia), [introductory/intermediate] Big Data= in Biomedical Sciences Raymond Ng (University of British Columbia), [introductory/intermediate] Mi= ning and Summarizing Text Conversations Sankar K. Pal (Indian Statistical Institute), [introductory/advanced] Machi= ne Intelligence and Granular Mining: Relevance to Big Data Erhard Rahm (University of Leipzig), [introductory/intermediate] Scalable a= nd Privacy-preserving Data Integration Hanan Samet (University of Maryland), [introductory/intermediate] Sorting i= n Space: Multidimensional, Spatial, and Metric Data Structures for Applicat= ions in Spatial Databases, Geographic Information Systems (GIS), and Locati= on-based Services Jaideep Srivastava (Qatar Computing Research Institute), [intermediate] Soc= ial Computing: Computing as an Integral Tool to Understanding Human Behavio= r and Solving Problems of Social Relevance Jeffrey Ullman (Stanford University), [introductory] Big Data Algorithms th= at 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] B= ig Data Analytics for Social Networks Mohammed J. Zaki (Rensselaer Polytechnic Institute), [introductory/intermed= iate] 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, aut= hors, and summary of the research to adrian.dediu (at) urv.cat by February = 5, 2016. ORGANIZING COMMITTEE: Adrian Horia Dediu Carlos Mart=C3=ADn-Vide (co-chair) Iker Pastor L=C3=B3pez (co-chair) Borja Sanz (co-chair) Florentina Lilica Voicu=20 REGISTRATION: It has to be done at http://grammars.grlmc.com/bigdat2016/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 he= lpful to have an approximation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be p= rocessed on a first come first served basis. The registration period will b= e closed and the on-line registration facility disabled when the capacity o= f the venue will be complete. It is much recommended to register prior to t= he event. FEES: Participants are expected to attend full-time. Fees are a flat rate allowin= g the attendance to all courses during the week. There are several early re= gistration deadlines. Fees depend on the registration deadline. ACCOMMODATION: Suggestions of accommodation are available on the webpage. CERTIFICATE: Participants will be delivered a certificate of attendance. QUESTIONS AND FURTHER INFORMATION: florentinalilica.voicu (at) urv.cat=20 ACKNOWLEDGEMENTS: University of Deusto Rovira i Virgili University ---------56a9372608cba Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable BigDat 2016: registration deadline 5 February=C2=A0 ---------56a9372608cba--