Wednesday, August 22, 2018
Brand new for KDD 2018, the Project Showcase Track offers a full day focused exclusively on innovative KDD-relevant projects from national and regional funding programs, as well as corporate, start-up, and nonprofit channels. We seek to bring together a diverse community of researchers in Machine Learning and Data Analytics, as well as partnerships in the social and physical sciences/arts, to show the state-of-the-art in research and applications.
Chairs: James Hodson and Dunia Mladenic
Schedule
| 9:30am – 10:00am | KDD Coffee break |
| 10:00am – 10:20am | Keynote by John Davies, BT |
| 10:20am – 11:30am | Presentations I (7 projects, 10 mins each) |
| 11:30am – 12:00pm | Demos I (of the presented 7 projects + 3 posters) |
| 12:00 – 1:30pm | KDD Lunch break |
| 1:30pm – 1:50pm | Keynote by Nuria De Lama Sanchez, ATOS |
| 1:50pm – 3:00pm | Presentations II (7 projects, 10 mins each) |
| 3:00pm – 3:30pm | Demos II (the presented 7 projects + 3 posters) |
| 3:30pm – 4:00pm | Coffee Break |
| 4:00pm – 4:15pm | Keynote by Marko Grobelnik, IJS |
| 4:15pm – 4:45pm | Presentations III (3 projects, 10 mins each) |
| 4:45pm – 5:15pm | Demos III (the presented 3 projects + 6 posters) |
| 5:15pm - 5:30pm | Keynote by Chaitanya Baru (NSF) |
| 5:30pm – 6:00pm Panel | Panel |
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CityVerve: Smarter Transport through data analytics
John Davies (BT Research & Innovation), Sandra Stincic Clarke (BT Research & Innovation), Irene McAleese (See.Sense), Michael Taylor (Queen’s University Belfast), Adele Marshall (Queen’s University Belfast)
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Load forecasting for smart electricity distribution in SUNSEED project
Blaž Kažič, Klemen Kenda, and Dunja Mladenić (Jožef Stefan Institute)
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Physical Adversarial Attack on Object Detectors
Shang-Tse Chen (Georgia Institute of Technology), Cory Cornelius (Intel Corporation), Jason Martin (Intel Corporation), and Duen Horng (Polo) Chau (Georgia Institute of Technology)
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PrEstoCloud: Proactive Cloud Resources Management at the Edge for Efficient Real-Time Big Data Processing
Salman Taherizadeh, Blaz Novak, Sebastjan Vagaja, Marija Komatar and Marko Grobelnik
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Xlike - Cross-lingual Knowledge Extraction (FP7-ICT-2011-7)
Marko Grobelnik, Blaž Fortuna, Gregor Leban, Jan Rupnik, Andrej Muhič, and Aljaž Košmerlj (Jozef Stefan Institute)
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Mining Medline for the visualisation of a global perspective on biomedical knowledge
Joao Pita Costa (Quintelligence), L. Stopar (Quintelligence and Jožef Stefan Institute), F. Fuart (Quintelligence and Jožef Stefan Institute), M. Grobelnik (Quintelligence and Jožef Stefan Institute), R. Santanam (Arizona State University), C. Lu (Arizona State University), P. Carlin (South Eastern Health and Social Care Trust), M. Black (Ulster University), and J. Wallace (Ulster University)
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SetSearch+: Entity-Set-Aware Search and Mining for Scientific Literature
Jiaming Shen (University of Illinois at Urbana-Champaign), Jinfeng Xiao (University of Illinois at Urbana-Champaign), Yu Zhang (University of Illinois at Urbana-Champaign), Carl Yang (University of Illinois at Urbana-Champaign), Jingbo Shang (University of Illinois at Urbana-Champaign), Jinda Han (University of Illinois at Urbana-Champaign), Saurabh Sinha (University of Illinois at Urbana-Champaign), Peipei Ping (University of California, Los Angeles), Richard Weinshilboum (Mayo Clinic), Zhiyong Lu (National Library of Medicine), and Jiawei Han (University of Illinois at Urbana-Champaign)
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OPTIMUM Project: Geospatial data analysis for sustainable mobility
Luka Bradeško, Zala Herga, Matej Senožetnik, Tine Šubic, and Jasna Urbančič (Jožef Stefan Institute)
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X5GON Project Showcase
Erik Novak, Blaž Fortuna, and Primož Škraba (Jožef Stefan Institute)
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DataBench: Evidence Based Big Data Benchmarking to Improve Business Performance
Richard Stevens (IDC Italy), Gabriella Cattaneo (IDC Italy), Helena Schwenk (IDC Italy), Cristina Pepato (IDC Italy), Christopher Ostberg Hansen (IDC Italy), Nuria De Lama Sanchez (Atos Spain SA), Tomas Pariente Lobo (Atos Spain SA), Chiara Francalanci (Politecnico di Milano), Barbara Pernici (Politecnico di Milano), Angela Geronazzo (Politecnico di Milano), Paolo Giacomazzi (Politecnico di Milano), Lucia Polidori (Politecnico di Milano), Arne Jørgen Berre (SINTEF), Volker Hoffman (SINTEF), Marko Grobelnik (Jožef Stefan Institute), James Hodson (Jožef Stefan Institute), Todor Ivanov (Frankfurt Big Data Lab, Goethe University), and Roberto V. Zicari (Frankfurt Big Data Lab, Goethe University)
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European Data Science Academy
Inna Novalija (Jožef Stefan Institute), Erik Novak (Jožef Stefan Institute), and Mark Grobelnik (Jožef Stefan Institute)
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PoQaa: Deep Literature Mining for Open Access Publications
Keqian Li, Ping Zhang, Honglei Liu, Hanwen Zha, and Xifeng Yan (University of California, Santa Barbara)
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FTS: Faceted Taxonomy Construction and Search for Scientific Publications
Hanwen Zha (University of California, Santa Barbara), Jiaming Shen (University of Illinois at Urbana-Champaign), Keqian Li (University of California, Santa Barbara), Warren Greiff (MITRE Corporation) Michelle T. Vanni (US Army Research Laboratory), Jiawei Han (University of Illinois at Urbana-Champaign), and Xifeng Yan (University of California, Santa Barbara)
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EW-Shopp Project Showcase: Supporting Event and Weather-based Data Analytics and Marketing along the Shopper Journey
Aljaž Košmerlj, Patrik Zajec, and Žan Palčič (Jozef Stefan Institute)
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Möbius: Online Anomaly Detection and Diagnosis
Jian Zhang, Richard Wydrowski, Zeqiang Wang, Sai Sankalp Arrabolu, Keiji Kanazawa, Lech Gudalewicz, Hong Gao, Roman Batoukov, and Souren Aghajanyan (Microsoft Universal Store Data and Analytics Team)
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Democratising Earth Observation Big Data With eo-learn: Application to Water-Level Monitoring
Matej Aleksandrov (Sinergise), Matej Batic (Sinergise), Miha Kadunc (Sinergise), Grega Milcinski (Sinergise), Rok Mocnik (Sinergise), Devis Peressutti (Sinergise), Blaz Sovdat (Sinergise), Anze Zupanc (Sinergise), Klemen Kenda (Jozef Stefan Institute)
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SUMMA: Scalable Understanding of Multilingual Media
Ulrich Germann (University of Edinburgh), Alexandra Birch (University of Edinburgh), Peggy van der Kreeft (Deutsche Welle), Guntis Barzdins (University of Latvia), and Steve Renals (University of Edinburgh)
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Scholar Trajectory: Visualizing the Migration of Talents
Zhou Shao (Nanjing University of Science and Technology), Jie Tang (Tsinghua University), Yutao Zhang (Tsinghua University), Bo Gao (Tsinghua University), and Yongli Wang (Nanjing University of Science and Technology)
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Compression to the Rescue: Defending from Adversarial Attacks Across Modalities
Nilaksh Das (Georgia Institute of Technology), Madhuri Shanbhogue (Georgia Institute of Technology), Shang-Tse Chen (Georgia Institute of Technology), Fred Hohman (Georgia Institute of Technology), Siwei Li (Georgia Institute of Technology), Li Chen (Intel Corporation), Michael E. Kounavis Duen (Intel Corporation), and Horng Chau (Georgia Institute of Technology)
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MEEM: Meeting of Events and Evidence on the Map
Mehdi Akbarian-Rastaghi, Behshid Behkamal and Asef Pourmasoumi
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AutoNet: Automated Network Construction and Exploration System from Domain-Specific Corpora
Jingbo Shang (University of Illinois Urbana-Champaign), Qi Zhu (University of Illinois Urbana-Champaign), Jiaming Shen (University of Illinois Urbana-Champaign), Xuan Wang (University of Illinois Urbana-Champaign), Xiaotao Gu (University of Illinois Urbana-Champaign), Lance Kaplan (US Army Research Laboratory), Timothy Harratty (US Army Research Laboratory), and Jiawei Han (University of Illinois Urbana-Champaign)
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The COTS Dashboard: Adapting Business Intelligence to help protect the Great Barrier Reef
Samuel A. Matthews (James Cook University) and Mary Bonin (Great Barrier Reef Marine Park Authority)
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J-PLOS: Java-based Platform for Learning Order Sets
Daniel Gartner (Cardiff University), Yiye Zhang (Cornell University), and Rema Padman (Carnegie Mellon University)
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Blockchain based sensory data acquistion and validation
Liyi Zhou and Chao Wu
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UnBias: Emancipating Users Against Algorithmic Biases for a Trusted Digital Economy
Ansgar Koene (University of Nottingham), Liz Dowthwaite (University of Nottingham), Giles Lane (Proboscis), Helena Webb (University of Oxford), Virginia Portillo (University of Nottingham), and Marina Jirotka (University of Oxford)
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A Project Showcase for Planning Research Work towards Publishable Success
Daheng Wang (University of Notre Dame), Meng Jiang (University of Notre Dame), Xueying Wang (University of Notre Dame), Tong Zhao (University of Notre Dame) Qingkai Zeng (University of Notre Dame), and Nitesh V. Chawla (University of Notre Dame)
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QROWD: Because Big Data Integration is Humanly Possible
Eddy Maddalena (University of Southampton), Luis-Daniel Ibáñez (University of Southampton), Elena Simperl (University of Southampton), Mattia Zeni (University of Trento), Enrico Bignotti (University of Trento), Fausto Giunchiglia (University of Trento & Jilin University), Claus Stadler (University of Leipzig), Patrick Westphal (University of Leipzig), Luís P. F. Garcia (University of Leipzig), and Jens Lehmann (University of Bonn)
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IEEE P70xx, Establishing Standards for Ethical Technology
Ansgar Koene (University of Nottingham), Adam Leon Smith (Piccadilly Labs), Takashi Egawa (NEC corporation), Sukanya Mandalh (IEEE) and Yohko Hatada (EMLS RI)
Presentations I & Demos I
Demos I
Presentations II & Demos II
Demos II
Presentations III & Demos III
Demos III
Program Committee
David Avakian, FacebookJanez Brank, Jožef Stefan Institute
Kaja Dobrovoljc, University of Ljubljana
Maisa Cristina Duarte, Bradesco Bank S.A. and UFSCar
Johannes Erett, Cognism Ltd
James Hodson, Jožef Stefan Institute
Sharmistha Jat, Indian Institute of Science
Dunia Mladenic, Jožef Stefan Institute
Inna Novalija, Jožef Stefan Institute
Stefano Pacifico, Elemental Cognition
Save the Date
KDD 2018 - London, United Kingdom. 19 - 23 August 2018
The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.
