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BigVis 2018 : International Workshop on Big Data Visual Exploration and Analytics | |||||||||||||
Link: http://bigvis2018.imis.athena-innovation.gr | |||||||||||||
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Call For Papers | |||||||||||||
BigVis 2018 Call for Papers **Selected papers of the BigVis 2018 will be invited to a Special Issue of the Big Data Research Journal, Elsevier BigVis 2018 :: International Workshop on Big Data Visual Exploration and Analytics http://bigvis2018.imis.athena-innovation.gr Vienna, Austria Held in conjunction with the 21th Intl. Conference on Extending Database Technology & 21th Intl. Conference on Database Theory (EDBT/ICDT 2018) One the major challenges of the Big Data era is that it has realized the availability of a great amount and variety of massive datasets for analysis by non-corporate data analysts, such as research scientists, data journalists, policy makers, SMEs and individuals. A major characteristic of these datasets is that they are: accessible in a raw format that are not being loaded or indexed in a database (e.g., plain text files, json, rdf), dynamic, dirty and heterogeneous in nature. The level of difficulty in transforming a data-curious user into someone who can access and analyze that data is even more burdensome now for numerous non-expert users. In the Big Data era, several challenges arise in the field of data visualization and analytics. First, the modern exploration and visualization systems should offer scalable data management techniques in order to efficiently handle billion objects datasets, limiting the system response in a few milliseconds. Besides, nowadays systems must address the challenge of on-the-fly scalable visualizations over large and dynamic sets of volatile raw data, offering efficient interactive exploration techniques, as well as mechanisms for information abstraction, sampling and summarization for addressing problems related to information overplotting. Further, they must encourage user comprehension offering customization capabilities to different user-defined exploration scenarios and preferences according to the analysis needs. Overall, the challenge is to enable users to gain value and insights out of the data as rapidly as possible, minimizing the role of IT-expert in the loop. The BigVis workshop aims at addressing the above challenges and issues by providing a forum for researchers and practitioners to discuss exchange and disseminate their work. BigVis attempts to attract attention from the research areas of Data Management and Mining, Information Visualization and Human-Computer Interaction and highlight novel works that bridge together these communities. Workshop Topics ------------------------------- In the context of visual exploration and analytics, topics of interest include, but are not limited to: - Visualization and exploration techniques for various Big Data types (e.g., stream, spatial, high-dimensional, graph) - Human-centered database techniques - Indexes and data structures for data visualization - Raw data visual exploration and analytics - Incremental and adaptive processing - Interactive caching and prefetching - Scalable visual operations (e.g., zooming, panning, linking, brushing) - Big Data visual representation techniques (e.g., aggregation, sampling, multi-level, filtering) - Setting-oriented visualization (e.g., display resolution/size, smart phones, pixel-oriented, visualization over networks) - User-oriented visualization (e.g., assistance, personalization, recommendation) - Visual analytics (e.g., pattern matching, timeseries analytics, prediction analysis, outlier detection, OLAP) - Visual and interactive data mining - Models of human-in-the-loop data analysis - High performance/Parallel techniques - Visualization hardware and acceleration techniques - Linked Data and ontologies visualization - Case and user studies - Systems and tools Submissions ------------------------------- - regular research papers (up to 8 pages) - work-in-progress papers (up to 4 pages) - vision papers (up to 4 pages) - system papers and demos (up to 4 pages) Important Dates ------------------------------- Submission: December 25, 2017 Notification: January 22, 2018 Camera-ready: January 29, 2018 Deadlines expire at 5pm PT Workshop: March 26, 2018 Organizing Committee ------------------------------- Nikos Bikakis, ATHENA Research Center, Greece George Papastefanatos, ATHENA Research Center, Greece Olga Papaemmanouil, Brandeis University, USA Program Committee ------------------------------- Ioannis Alagiannis, Microsoft Manos Athanassoulis, Harvard, USA David Auber, Universite Bordeaux 1, France Leilani Battle, Univeristy of Maryland, USA Carsten Binnig, Brown University, UK Nan Cao, Tongji University, China Giorgio Caviglia, Trifacta Inc Remco Chang, Tufts University, USA Michael Gubanov, University of Texas at San Antonio, USA Rick Cole, Tableau Software Aba-Sah Dadzie, The Open University, UK Giorgos Giannopoulos, ATHENA Research Center, Greece Parke Godfrey, York University, Canada Jarek Gryz, York University, Canada Alexander Hinneburg, MLU, Germany Marcel Hlawatsch, Universitat Stuttgart, Germany Bill Howe, University of Washington, USA Yifan Hu Yahoo! Research Valentina Ivanova, Linkoping University, Sweden Vana Kalogeraki, AUEB, Greece Niranjan Kamat, Ohio State University, USA Manos Karpathiotakis, EPFL, Switzerland Manolis Koubarakis, University of Athens, Greece Danai Koutra, University of Michigan, USA Georgia Koutrika, ATHENA Research Center, Greece Steffen Lohmann, Fraunhofer, Germany Kwan-Liu Ma, University of California at Davis, USA Suvodeep Mazumdar, University of Sheffield, Sweden Davide Mottin, Hasso Plattner Institute, Germany Paul Parsons, Purdue University, USA Tobias Schreck, Graz University of Technology, Austria Mariano Rico, UPM, Spain Thibault Sellam, Columbia University, USA Mike Sips, GFZ, Germany Dimitrios Skoutas, ATHENA Research Center, Greece Kostas Stefanidis, University of Tampere, Finland Hanghang Tong, Arizona State University, USA Yannis Tzitzikas, University of Crete, Greece Panos Vassiliadis, University of Ioannina, Greece |
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