From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Original-To: caml-list@sympa.inria.fr Delivered-To: caml-list@sympa.inria.fr Received: from mail3-relais-sop.national.inria.fr (mail3-relais-sop.national.inria.fr [192.134.164.104]) by sympa.inria.fr (Postfix) with ESMTPS id DC1AE7FA45 for ; Fri, 18 Jul 2014 15:53:57 +0200 (CEST) Received-SPF: None (mail3-smtp-sop.national.inria.fr: no sender authenticity information available from domain of grlmc@urv.cat) identity=pra; client-ip=193.144.16.75; receiver=mail3-smtp-sop.national.inria.fr; envelope-from="grlmc@urv.cat"; x-sender="grlmc@urv.cat"; x-conformance=sidf_compatible Received-SPF: Pass (mail3-smtp-sop.national.inria.fr: domain of grlmc@urv.cat designates 193.144.16.75 as permitted sender) identity=mailfrom; client-ip=193.144.16.75; receiver=mail3-smtp-sop.national.inria.fr; envelope-from="grlmc@urv.cat"; x-sender="grlmc@urv.cat"; x-conformance=sidf_compatible; x-record-type="v=spf1" Received-SPF: None (mail3-smtp-sop.national.inria.fr: no sender authenticity information available from domain of postmaster@mta03.urv.cat) identity=helo; client-ip=193.144.16.75; receiver=mail3-smtp-sop.national.inria.fr; envelope-from="grlmc@urv.cat"; x-sender="postmaster@mta03.urv.cat"; x-conformance=sidf_compatible X-IronPort-Anti-Spam-Filtered: true X-IronPort-Anti-Spam-Result: AmADANslyVPBkBBLnGdsb2JhbAA/GoNgW64NllkKgmmEVAQoYxYPAQEBAQEICwkJFCmDewMBWQoVARkuNAwEEj8cAQSFKAglgWZqAQg2nH6nFASMGIJXBAYFg1eBPwWEcAWEfYRDghuMIoVIgQWFcIQyhTlqAYECAR8 X-IPAS-Result: AmADANslyVPBkBBLnGdsb2JhbAA/GoNgW64NllkKgmmEVAQoYxYPAQEBAQEICwkJFCmDewMBWQoVARkuNAwEEj8cAQSFKAglgWZqAQg2nH6nFASMGIJXBAYFg1eBPwWEcAWEfYRDghuMIoVIgQWFcIQyhTlqAYECAR8 X-IronPort-AV: E=Sophos;i="5.01,685,1400018400"; d="scan'208";a="71968520" Received: from mta03.urv.cat ([193.144.16.75]) by mail3-smtp-sop.national.inria.fr with ESMTP; 18 Jul 2014 15:53:57 +0200 X-IronPort-AV: E=Sophos;i="5.01,685,1400018400"; d="scan'208";a="51971442" Received: from pmbox2.urv.cat ([193.144.16.41]) by mta.urv.cat with ESMTP; 18 Jul 2014 15:53:57 +0200 Received: from urv.cat (backend1.urv.cat [193.147.216.82]) by pmbox2.urv.cat (Postfix) with ESMTP id 5F8FADF75; Fri, 18 Jul 2014 15:53:56 +0200 (CEST) Received: from [193.144.16.41] (Forwarded-For: [193.144.16.41]) by mbox1.urv.cat (mshttpd); Fri, 18 Jul 2014 15:53:56 +0200 From: URV - RESEARCH GROUP ON MATHEMATICAL LINGUISTICS Message-ID: Date: Fri, 18 Jul 2014 15:53:56 +0200 X-Mailer: Sun Java(tm) System Messenger Express 6.3-13.01 (built Sep 22 2010; 32bit) MIME-Version: 1.0 Content-Language: ca X-Accept-Language: ca Priority: normal Content-Type: text/plain; charset=iso-8859-1 Content-Disposition: inline Content-Transfer-Encoding: quoted-printable X-Validation-by: grlmc@urv.cat Subject: [Caml-list] BigDat 2015: 23 July registration deadline *To be removed from our mailing list, please respond to this message with U= NSUBSCRIBE in the subject line* ***************************************************** INTERNATIONAL WINTER SCHOOL ON BIG DATA BigDat 2015 Tarragona, Spain January 26-30, 2015 Organized by Rovira i Virgili University http://grammars.grlmc.com/bigdat2015/ ***************************************************** --- 2nd registration deadline: July 23, 2014 --- ***************************************************** AIM: BigDat 2015 is a research training event for graduates and postgraduates in= the first steps of their academic career. It aims at updating them about t= he most recent developments in the fast developing area of big data, which = covers a large spectrum of current exciting research, development and innov= ation with an extraordinary potential for a huge impact on scientific disco= veries, medicine, engineering, business models, and society itself. Renowne= d academics and industry pioneers will lecture and share their views with t= he audience. All big data subareas will be displayed, namely: foundations, infrastructur= e, management, search and mining, security and privacy, and applications. M= ain challenges of analytics, management and storage of big data will be ide= ntified through 4 keynote lectures and 24 six-hour courses, which will tack= le the most lively and promising topics. The organizers believe outstanding= speakers will attract the brightest and most motivated students. Interacti= on will be a main component of the event. ADDRESSED TO: Graduate and postgraduates from around the world. There are no formal pre-r= equisites in terms of academic degrees. However, since there will be differ= ences in the course levels, specific knowledge background may be required f= or some of them. BigDat 2015 is also appropriate for more senior people who want to keep the= mselves updated on recent developments and future trends. They will surely = find it fruitful to listen and discuss with major researchers, industry lea= ders and innovators. REGIME: In addition to keynotes, 3 courses will run in parallel during the whole ev= ent. Participants will be able to freely choose the courses they will be wi= lling to attend as well as to move from one to another. VENUE: BigDat 2015 will take place in Tarragona, located 90 kms. to the south of B= arcelona. The venue will be: Campus Catalunya Universitat Rovira i Virgili Av. Catalunya, 35 43002 Tarragona KEYNOTE SPEAKERS: Ian Foster (Argonne National Laboratory), tba Geoffrey C. Fox (Indiana University, Bloomington), Mapping Big Data Applica= tions to Clouds and HPC C. Lee Giles (Pennsylvania State University, University Park), Scholarly Bi= g Data: Information Extraction and Data Mining William D. Gropp (University of Illinois, Urbana-Champaign), tba COURSES AND PROFESSORS: Hendrik Blockeel (Katholieke Universiteit Leuven), [intermediate] Decision = Trees for Big Data Analytics Diego Calvanese (Free University of Bozen-Bolzano), [introductory/intermedi= ate] End-User Access to Big Data Using Ontologies Jiannong Cao (Hong Kong Polytechnic University), [introductory/intermediate= ] Programming with Big Data Edward Y. Chang (HTC Corporation, New Taipei City), [introductory/advanced]= From Design of Distributed and Online Algorithms to Hands-on Code Lab Prac= tice 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 Sof= tware Defined Systems to Address Big Data Problems Minos Garofalakis (Technical University of Crete, Chania) [intermediate/adv= anced], Querying Continuous Data Streams Vasant G. Honavar (Pennsylvania State University, University Park) [introdu= ctory/intermediate], Learning Predictive Models from Big Data Mounia Lalmas (Yahoo! Research Labs, London), [introductory] Measuring User= Engagement Tao Li (Florida International University, Miami), [introductory/intermediat= e] Data Mining Techniques to Understand Textual Data Kwan-Liu Ma (University of California, Davis), [intermediate] Big Data Visu= alization Christoph Meinel (Hasso Plattner Institute, Potsdam), [introductory/interme= diate] 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 i= n Simulation-based Science Srinivasan Parthasarathy (Ohio State University, Columbus), [intermediate] = Scalable Data Analysis Evaggelia Pitoura (University of Ioannina), [intermediate] Online Social Ne= tworks Vijay V. Raghavan (University of Louisiana, Lafayette), [introductory/inter= mediate] Visual Analytics of Time-evolving Large-scale Graphs Pierangela Samarati (University of Milan), [intermediate], Data Security an= d Privacy in the Cloud Peter Sanders (Karlsruhe Institute of Technology), [introductory/intermedia= te] 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 Dat= a 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 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: 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 ar= e several early registration deadlines. Fees depend on the registration dea= dline. 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@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