September 2019 - D-CON - lists.rwth-aachen.de

BigDat 2020: early registration October 2
by IRDTA 24 Sep '19

24 Sep '19

BigDat 2020: early registration October 2*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ******************************************************** 6th INTERNATIONAL WINTER SCHOOL ON BIG DATA BigDat 2020 Ancona, Italy January 13-17, 2020 Co-organized by: Department of Information Engineering, Marche Polytechnic University Institute for Research Development, Training and Advice (IRDTA) Brussels / London https://bigdat2020.irdta.eu/ ******************************************************** --- Early registration deadline: October 2, 2019 --- ******************************************************** SCOPE: BigDat 2020 will be a research training event with a global scope aiming at updating participants on 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.). Major challenges of analytics, management and storage of big data will be identified through 2 keynote lectures and 24 four-hour and a half courses, 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. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2020 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators. STRUCTURE: 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 2020 will take place in Ancona, a city founded by Greek settlers and today one of the main ports on the Adriatic Sea. The venue will be: Department of Information Engineering Marche Polytechnic University Via Brecce Bianche 12 60131 Ancona KEYNOTE SPEAKERS: (to be completed) Jie Tang (Tsinghua University), Graph Embedding and Reasoning PROFESSORS AND COURSES: (to be completed) Sanchita Bhattacharya (University of California, San Francisco), [introductory/advanced] Big Data in Immunology: Sharing, Dissemination, and Repurposing Diego Calvanese (Free University of Bozen-Bolzano), [introductory] Virtual Knowledge Graphs for Data Integration Sheelagh Carpendale (University of Calgary), [introductory] Data Visualization Nitesh V. Chawla (University of Notre Dame), [intermediate/advanced] Learning from Imbalanced Data Amr El Abbadi (University of California, Santa Barbara), [introductory/intermediate] An Introduction to Blockchain Charles Elkan (University of California, San Diego), [intermediate] A Rapid Introduction to Modern Deep Learning Jiawei Han (University of Illinois, Urbana-Champaign), [advanced] From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration Xiaohua Tony Hu (Drexel University), [introductory/advanced] Data Mining and Analysis in Big Microbiome Data Craig Knoblock (University of Southern California), [intermediate/advanced] Building Knowledge Graphs Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences Bamshad Mobasher (DePaul University), [intermediate] Context-aware Recommender Systems Jayanti Prasad (Embold Technologies), [introductory/intermediate] Big Code Lior Rokach and Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems Peter Rousseeuw (KU Leuven), [introductory] Anomaly Detection by Robust Methods Asim Roy (Arizona State University), [intermediate] Hardware-based (GPU, FPGA based) Machine Learning – An Overview of Algorithms and Implementation Ideas and Methods Hanan Samet (University of Maryland), [intermediate] Multidimensional, Spatial, and Metric Data Structures for Sorting in Space and Similarity Searching Rory Smith (Monash University), [introductory/intermediate] Learning from Data, the Bayesian Way Mayte Suárez-Fariñas (Icahn School of Medicine at Mount Sinai), [intermediate/advanced] Meta-analysis Methods for High-dimensional Data Jeffrey Ullman (Stanford University), [introductory] Big-data Algorithms That Aren't Machine Learning Wil van der Aalst (RWTH Aachen University), [introductory/intermediate] Process Mining: A Very Different Kind of Machine Learning That Can Be Applied in Any Organization OPEN SESSION An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david(a)irdta.eu by January 5, 2020. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by January 5, 2020. EMPLOYER SESSION: Firms searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for, to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by January 5, 2020. ORGANIZING COMMITTEE: Emanuele Frontoni (Ancona, co-chair) Sara Morales (Brussels) Manuel J. Parra-Royón (Granada) David Silva (London, co-chair) Flavio Tonetto (Ancona, industrial chair) Domenico Ursino (Ancona, co-chair) REGISTRATION: It has to be done at https://bigdat2020.irdta.eu/registration/ 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 estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. 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 is exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. ACCOMMODATION: Suggestions for accommodation will be available in due time. CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche Institute for Research Development, Training and Advice (IRDTA) – Brussels/London CONFINDUSTRIA Marche Nord CINI AIIS National Lab

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TPNC 2019: call for posters
by IRDTA 17 Sep '19

17 Sep '19

TPNC 2019: call for posters*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* **************************************************************************** The 6th International Conference on the Theory and Practice of Natural Computing (TPNC 2019) invites researchers to submit poster presentations. TPNC 2019 will be held in Kingston, Ontario on December 9-11, 2019. See https://tpnc2019.irdta.eu/ Poster presentations are intended to enhance informal interactions with conference participants, at the same time allowing for in-depth discussion. TOPICS Presentations displaying novel work in progress on computational principles, models and techniques inspired by information processing in nature are invited. Posters do not need to show final research results. Work that might lead to new interesting developments is welcome. KEY DATES Poster submission deadline: November 2, 2019 Notification of poster acceptance or rejection: November 9, 2019 SUBMISSION Please submit a .pdf abstract through: https://easychair.org/conferences/?conf=tpnc2019 It should contain the title, author(s) and affiliation, and should not exceed 500 words. PRESENTATION Posters will be allocated 10 minutes each in the programme for oral presentation. Moreover, they will remain hanging out during the whole conference for discussion. PUBLICATION Posters will not appear in the LNCS proceedings volume of TPNC 2019. However, they will be eligible for submission to the post-conference journal special issue in Natural Computing (Springer, 2018 JCR impact factor: 0.860). REGISTRATION At least one author of each accepted poster must register to the conference by November 25, 2019. The registration fare is reduced: 285 Euros. It gives the same rights all other conference participants will have (attendance, copy of the proceedings volume, coffee breaks, lunches). Contributors of regular papers who in addition get a poster accepted must register for the latter independently.

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LATA 2020: 2nd call for papers
by IRDTA 11 Sep '19

11 Sep '19

LATA 2020: 2nd call for papers*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ************************************************************************* 14th INTERNATIONAL CONFERENCE ON LANGUAGE AND AUTOMATA THEORY AND APPLICATIONS LATA 2020 Milan, Italy March 2-6, 2020 Co-organized by: Department of Informatics, Systems and Communication University of Milano-Bicocca and Institute for Research Development, Training and Advice Brussels/London https://lata2020.irdta.eu ************************************************************************* AIMS: LATA is a conference series on theoretical computer science and its applications. LATA 2020 will reserve significant room for young scholars at the beginning of their career. It will aim at attracting contributions from classical theory fields as well as application areas. VENUE: LATA 2020 will take place in Milan, the third largest economy among European cities and one of the Four Motors for Europe. SCOPE: Topics of either theoretical or applied interest include, but are not limited to: algebraic language theory algorithms for semi-structured data mining algorithms on automata and words automata and logic automata for system analysis and programme verification automata networks automatic structures codes combinatorics on words computational complexity concurrency and Petri nets data and image compression descriptional complexity foundations of finite state technology foundations of XML grammars (Chomsky hierarchy, contextual, unification, categorial, etc.) grammatical inference, inductive inference and algorithmic learning graphs and graph transformation language varieties and semigroups language-based cryptography mathematical and logical foundations of programming methodologies parallel and regulated rewriting parsing patterns power series string processing algorithms symbolic dynamics term rewriting transducers trees, tree languages and tree automata weighted automata STRUCTURE: LATA 2020 will consist of: invited talks peer-reviewed contributions INVITED SPEAKERS: Eric Allender (Rutgers University), The New Complexity Landscape around Circuit Minimization Christoph Haase (University College London), Approaching Arithmetic Theories with Finite-state Automata Artur Jeż (University of Wrocław), Recompression: Technique for Word Equations and Compressed Data Jean-Éric Pin (CNRS), How to Prove that a Language Is Regular or Star-free? Thomas Place (University of Bordeaux), Deciding Classes of Regular Languages: A Language Theoretic Point of View PROGRAMME COMMITTEE: Jorge Almeida (University of Porto, PT) Franz Baader (Technical University of Dresden, DE) Alessandro Barenghi (Polytechnic University of Milan, IT) Djamal Belazzougui (CERIST, DZ) Marcello Bonsangue (Leiden University, NL) Flavio Corradini (University of Camerino, IT) Bruno Courcelle (University of Bordeaux, FR) Laurent Doyen (ENS Paris-Saclay, FR) Manfred Droste (Leipzig University, DE) Rudolf Freund (Technical University of Vienna, AT) Paweł Gawrychowski (University of Wrocław, PL) Tero Harju (University of Turku, FI) Jeffrey Heinz (Stony Brook University, US) Lane A. Hemaspaandra (University of Rochester, US) Marcin Jurdziński (University of Warwick, UK) Juhani Karhumäki (University of Turku, FI) Jarkko Kari (University of Turku, FI) Dexter Kozen (Cornell University, US) François Le Gall (Kyoto University, JP) Markus Lohrey (University of Siegen, DE) Parthasarathy Madhusudan (University of Illinois, Urbana-Champaign, US) Sebastian Maneth (University of Bremen, DE) Nicolas Markey (IRISA, Rennes, FR) Carlos Martín-Vide (Rovira i Virgili University, ES, chair) Giancarlo Mauri (University of Milano-Bicocca, IT) Victor Mitrana (University of Bucharest, RO) Paliath Narendran (University at Albany, US) Gennaro Parlato (University of Molise, IT) Dominique Perrin (University of Paris-Est, FR) Nir Piterman (Chalmers University of Technology, SE) Sanguthevar Rajasekaran (University of Connecticut, US) Antonio Restivo (University of Palermo, IT) Wojciech Rytter (University of Warsaw, PL) Kai Salomaa (Queen’s University, CA) Helmut Seidl (Technical University of Munich, DE) William F. Smyth (McMaster University, CA) Jiří Srba (Aalborg University, DK) Edward Stabler (University of California, Los Angeles, US) Benjamin Steinberg (City University of New York, US) Frank Stephan (National University of Singapore, SG) Jan van Leeuwen (Utrecht University, NL) Margus Veanes (Microsoft Research, US) Tomáš Vojnar (Brno University of Technology, CZ) Mikhail Volkov (Ural Federal University, RU) James Worrell (University of Oxford, UK) ORGANIZING COMMITTEE: Alberto Leporati (Milan, co-chair) Sara Morales (Brussels) Manuel Parra-Royón (Granada) Rafael Peñaloza Nyssen (Milan) Dana Shapira (Ariel) David Silva (London, co-chair) Bianca Truthe (Giessen) Claudio Zandron (Milan, co-chair) SUBMISSIONS: Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (all included) and should be prepared according to the standard format for Springer Verlag's LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). If necessary, exceptionally authors are allowed to provide missing proofs in a clearly marked appendix. Submissions have to be uploaded to: https://easychair.org/conferences/?conf=lata2020 PUBLICATIONS: A volume of proceedings published by Springer in the LNCS series will be available by the time of the conference. A special issue of a major journal will be later published containing peer-reviewed substantially extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation. REGISTRATION: The registration form can be found at: https://lata2020.irdta.eu/registration DEADLINES (all at 23:59 CET): Paper submission: October 18, 2019 Notification of paper acceptance or rejection: November 25, 2019 Final version of the paper for the LNCS proceedings: December 2, 2019 Early registration: December 2, 2019 Late registration: February 17, 2020 Submission to the journal special issue: June 6, 2020 QUESTIONS AND FURTHER INFORMATION: david (at) irdta.eu ACKNOWLEDGMENTS: Università degli Studi di Milano-Bicocca IRDTA – Institute for Research Development, Training and Advice, Brussels/London

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MMB 2020 - Call for Papers
by Holger Hermanns 06 Sep '19

06 Sep '19

**20th International GI/ITG Conference on “Measurement, Modelling and Evaluation of Computing Systems”** https://www.mmb2020.de/ ***Call for Papers*** MMB 2020 ======== March 16 – 18, 2020, Saarbrücken, Germany ----------------------------------------- The GI/ITG Technical Committee on “Measurement, Modelling and Evaluation of Computing Systems (MMB)” is the major German forum covering all scientific aspects of measurement, modelling and evaluation of intelligent systems including computer architectures, communication networks, distributed systems and software, autonomous systems, workflow systems, cyber-physical systems and networks, Internet-of-Things, as well as highly dependable, highly performant and highly secure systems. In 2020 the committee invites to its 20th international conference, **MMB 2020**. In addition to the scientific programme, this jubilee edition of the conference will comprise invited keynotes, tool presentations, state-of-the-art tutorials, and workshops focusing on hot topics. Topics of MMB 2020 include: =========================== Models and Methods ------------------ * Quantitative evaluation techniques related to performance, dependability, security, privacy, survivability, real-time constraints, cost, energy-efficiency and combined aspects like performance-security tradeoffs; * Testing, measuring, benchmarking, learning, and runtime monitoring of systems and networks; * Parameter estimation, model learning, extremal-value and outlier analysis, big data analytics, * Queueing models, Markov and non-Markovian models, stochastic concurrency models, fluid models, network calculus, stochastic games, integration of stochastic modeling into formal methods; * Simulation techniques including rare event simulation and parallel and distributed simulation; * Fault-tolerant and dependable computing, redundancy and fault modelling, fault injection methods; * Traffic engineering, network planning and optimization especially for cyber-physical networking; * Models, methods and tools for explainable machine learning; Applications and Case Studies ----------------------------- * Computer and software architectures, cloud computing, fog and edge computing, pervasive and ubiquitous computing, adaptive and self-organizing systems; * Cyber-physical networking, embedded systems, smart environments, Internet-of-Things; * Access, backbone and optical networks, high-speed switching, software-defined networking, mobile and wireless networks, sensor networks, vehicular communication, satellite communication; * Peer-to-peer, overlay and information-centric networks, web-based systems, multimedia systems; * Critical infrastructures, social networks, power-law and scale-invariant systems, biochemical systems; * Green IT, energy-efficient systems, future smart energy networks; * Workflow and logistic systems, data warehousing, traffic and transportation systems; * Blockchains, network economics, accounting, tariffing, auctions, betting; Special Foci of MMB 2020 ------------------------ We plan to organize dedicated sessions on * Cyber-physical networking * Robust machine learning – from evaluation to explanation Submission Formats ================== **Full papers:** Papers must be unpublished and must not be submitted for publication elsewhere. All papers will be thoroughly reviewed by at least three referees on the basis of their originality and their scientific and practical contribution to the state-of-the-art. Papers must be written in English and must not exceed 15 pages (LNCS style, excluding references). **Practical experience reports and industrial papers:** Industrial papers and practical experience reports are much solicited. They should not exceed 8 pages (LNCS style, excluding references). **PhD track papers:** PhD students are encouraged to submit a paper on recent achievements. Reports should not exceed 8 pages (LNCS style, excluding references). **Tool descriptions:** Special sessions will be arranged to present and demonstrate tools relevant to any topic covered by the Call for Papers. Tool descriptions should not exceed five pages (LNCS style, excluding references). **The proceedings will be published in the Springer LNCS series.** **Full papers are eligible for the MMB 2020 best paper and best student paper awards.** Important Dates =============== Paper and Tools Submission: | November 3, 2019 Author Notification: | January 10, 2020 Final Version: | January 28, 2020 Conference: | March 16 – 18, 2020 General Chair ------------- - Verena Wolf (Saarland U) Keynotes -------- - Calin Belta (Boston U) - Xiaowei Huang (U Liverpool) - Wolfgang Kellerer (TU Munich) Program Chair ------------- - Holger Hermanns (Saarland U) Program Committee ----------------- - Erika Ábrahám (RWTH Aachen) - Peter Buchholz (TU Dortmund) - Hans Daduna (U Hamburg) - Susanna Donatelli (U Torino) - Rüdiger Ehlers (TU Clausthal) - Markus Fidler (U Hannover) - Jean-Michel Fourneau (U Versailles) - Reinhard German (U Erlangen-Nuremberg) - Gerhard Haßlinger (Deutsche Telekom AG) - Thorsten Herfet (Saarland U) - Tobias Hoßfeld (U Würzburg) - William Knottenbelt (Imperial College) - Samuel Kounev (U Würzburg) - Wolfram Lautenschläger (Nokia) - Rupak Majumdar (MPI for Software Systems) - Natalia Markovich (Russian Academy of Sci.) - Hermann de Meer (U Passau) - Michael Menth (U Tübingen) - Mohammad Mousavi (U Leicester) - Antoine Rauzy (NTNU & Ecole Cent. de Paris) - Peter Reichl (U Vienna) - Anne Remke (U Münster) - Jens Schmitt (TU Kaiserslautern) - Marielle Stoelinga (U Twente) - Miklós Telek (TU Budapest) - Dietmar Tutsch (U Wuppertal) - Isabel Valera (MPI for Intelligent Systems) - Oliver Waldhorst (HsKA Karlsruhe) - Katinka Wolter (FU Berlin) - Sabine Wittevrongel (U Ghent) - Lijun Zhang (Chinese Academy of Sci.) Award Committee Chair --------------------- - Markus Siegle (UBw Munich) Workshop Chair -------------- - Udo Krieger (U Bamberg) Local Organization ------------------ - Felix Freiberger (Saarland U) - Sabine Nermerich (Saarland U) - Kristina Scherbaum (Saarland U) - Florian Schießl (Saarland U) [Call for Papers as pdf](https://www.mmb2020.de/cfp.pdf)

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BigDat 2020: early registration September 7
by IRDTA 03 Sep '19

03 Sep '19

BigDat 2020: early registration September 7*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ******************************************************** 6th INTERNATIONAL WINTER SCHOOL ON BIG DATA BigDat 2020 Ancona, Italy January 13-17, 2020 Co-organized by: Department of Information Engineering, Marche Polytechnic University Institute for Research Development, Training and Advice (IRDTA) Brussels / London https://bigdat2020.irdta.eu/ ******************************************************** --- Early registration deadline: September 7, 2019 --- ******************************************************** SCOPE: BigDat 2020 will be a research training event with a global scope aiming at updating participants on 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.). Major challenges of analytics, management and storage of big data will be identified through 2 keynote lectures and 24 four-hour and a half courses, 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. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2020 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators. STRUCTURE: 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 2020 will take place in Ancona, a city founded by Greek settlers and today one of the main ports on the Adriatic Sea. The venue will be: Department of Information Engineering Marche Polytechnic University Via Brecce Bianche 12 60131 Ancona KEYNOTE SPEAKERS: (to be completed) Jie Tang (Tsinghua University), Graph Embedding and Reasoning PROFESSORS AND COURSES: (to be completed) Sanchita Bhattacharya (University of California, San Francisco), [introductory/advanced] Big Data in Immunology: Sharing, Dissemination, and Repurposing Diego Calvanese (Free University of Bozen-Bolzano), [introductory] Virtual Knowledge Graphs for Data Integration Sheelagh Carpendale (University of Calgary), [introductory] Data Visualization Nitesh V. Chawla (University of Notre Dame), [intermediate/advanced] Learning from Imbalanced Data Amr El Abbadi (University of California, Santa Barbara), [introductory/intermediate] An Introduction to Blockchain Jiawei Han (University of Illinois, Urbana-Champaign), [advanced] From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration Xiaohua Tony Hu (Drexel University), [introductory/advanced] Data Mining and Analysis in Big Microbiome Data Craig Knoblock (University of Southern California), [intermediate/advanced] Building Knowledge Graphs Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences Bamshad Mobasher (DePaul University), [intermediate] Context-aware Recommender Systems Jayanti Prasad (Embold Technologies), [introductory/intermediate] Big Code Lior Rokach and Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems Peter Rousseeuw (KU Leuven), [introductory] Anomaly Detection by Robust Methods Asim Roy (Arizona State University), [intermediate] Hardware-based (GPU, FPGA based) Machine Learning – An Overview of Algorithms and Implementation Ideas and Methods Hanan Samet (University of Maryland), [intermediate] Multidimensional, Spatial, and Metric Data Structures for Sorting in Space and Similarity Searching Rory Smith (Monash University), [introductory/intermediate] Learning from Data, the Bayesian Way Jeffrey Ullman (Stanford University), [introductory] Big-data Algorithms That Aren't Machine Learning Wil van der Aalst (RWTH Aachen University), [introductory/intermediate] Process Mining: A Very Different Kind of Machine Learning That Can Be Applied in Any Organization OPEN SESSION An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david(a)irdta.eu by January 5, 2020. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by January 5, 2020. EMPLOYER SESSION: Firms searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for, to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by January 5, 2020. ORGANIZING COMMITTEE: Emanuele Frontoni (Ancona, co-chair) Sara Morales (Brussels) Manuel J. Parra-Royón (Granada) David Silva (London, co-chair) Flavio Tonetto (Ancona, industrial chair) Domenico Ursino (Ancona, co-chair) REGISTRATION: It has to be done at https://bigdat2020.irdta.eu/registration/ 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 estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. 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 is exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. ACCOMMODATION: Suggestions for accommodation will be available in due time. CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche Institute for Research Development, Training and Advice (IRDTA) – Brussels/London

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03 Sep '19

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