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Big Data for Mobility Tracking Knowledge Extraction in Urban Areas

Rezultaty

Project Website

Project Website and and project social media channels set- up.

Interoperability requirements

Detailed specification of a common repository schema for metadata publishing/ information sharing, based on reference frameworks such as the NIST Big Data Interoperability Framework.

Cross-validation with ICT14 and ICT15 projects

Report on undertaken liaison actions with the ICT-15 Lighthouse projects TT and DataBio, including interesting outcomes of the collaboration. Evaluation of the plan for clustering activities included in D.1.2.

Dissemination Plan, Communications programme, Website

Report on the dissemination strategy, objectives and dissemination plan, events organisation. Report on the utilisation of communications tools/means such as Social media, Conferences, Workshops, Newsletters, Success Stories Factsheets, Articles, Whitepapers, Press Releases, Journal Publications, Policy Briefs etc. Organisation of training courses for end-users on Toolboxes technologies. Evaluation of the dissemination plan. Internal draft deliverable in M18 represented on Gantt as d7.3.

Results of eye-tracking evaluation

Report evaluating the VA methods developed in tasks T5.1-T5.4, in corresponding usage scenarios with appropriate categories of professional users. The evaluation will address objective user performance (how fast/correct are users in problem solving) and subjective user satisfaction.

Track and Know Observatory

Report consolidating literature review and market analysis for competing and complementing tools and technologies. Online observatory, implemented as an integral part of the project website. First version of observatory delivered in M6 along with the revier report (D1.1). A revised version of the observatory with updated content will be available online at the end of the project (RD1.1).

Liaison and Clustering

Report on undertaken liaison actions with other projects and initiatives, (apart from the ICT-15 Lighthouse projects TT and DataBio that will be covered in deliverable D6.5), including interesting outcomes of the collaboration. Internal draft deliverable (liaison soping paper) in M6 represented on Gantt as d7.4.

Experiments Monitoring Report, Learning conclusions

This report will consolidate lessons learned from the implementation of the project pilots, incorporating validation and analysis of results for pilot measurements.

Development of Toolboxes Integration Connectors

Prototypes of the first version of the Track&Know integration connectors (Toolboxes), based on requirements defined in WP1. The connectors will facilitate the seamless integration of internal and external data sources.

Primitive query operators

Specification and prototype implementation of the primitive query operators (for different NoSQL stores), that will serve as a software layer very close to the storage layer, allowing effective and efficient interaction with the massive datasets stored in Track&Know.

Analytics for complex event recognition

Specification, use cases and prototype implementation of machine learning tools for learning complex events from data by using semantic unsupervised labelling for spatiotemporal data. Representational learning will be investigated to achieve a latent representation of spatiotemporal traces and users’/drivers’ behavioural characteristics. The developed machine learning algorithms will be capable of online learning complex event patterns, in order to effectively handle the volume and velocity of the data. The core capabilities of the tools and the application of the algorithms developed, will be demonstrated through an open research data pilot with the use of open data sources. The specification report will include several use cases to allow the use and extension of the tools/algoritmes by development teams across Europe.

Analytics for mobility patterns detection and forecasting

Specification and prototype implementation of a) Customized data analysis methods and tools over Big Mobility Data, including cluster analysis and motion pattern detection, by exploiting enriched and integrated data from multiple sources. b) Algorithms for short- and long-term forecasting of routes, flows, concentration nodes, as well as contextual characteristics, supporting outlier detection, taking advantage of previous data analytics results, as well as complex events. The core capabilities of the tools and the application of the algorithms developed, will be demonstrated through an open research data pilot with the use of open data sources. The specification report will include several use cases to allow the use and extension of the tools/algoritmes by development teams across Europe.

Publikacje

Contextualized Analysis of Movement Events

Autorzy: Siming Chen, Gennady Andrienko, Natalia Andrienko, Christos Doulkeridis, and Athanasios Koumparos4
Opublikowane w: EuroVis Workshop on Visual Analytics, 2019, ISBN 978-3-03868-087-1
Wydawca: The Eurographics Association
DOI: 10.2312/eurova.20191124

Towards In-Memory Sub-Trajectory Similarity Search

Autorzy: Omid Isfahani Alamdari, Mirco Nanni, Roberto Trasarti, Dino Pedreschi
Opublikowane w: EDBT/ICDT 2020 Joint Conference, Numer Vol 2978, 2020
Wydawca: CEUR

Crash Prediction and Risk Assessment with Individual Mobility Networks

Autorzy: Riccardo Guidotti, Mirco Nanni
Opublikowane w: 2020 21st IEEE International Conference on Mobile Data Management (MDM), 2020, Strona(/y) 89-98, ISBN 978-1-7281-4663-8
Wydawca: IEEE
DOI: 10.1109/mdm48529.2020.00030

Parallel and Distributed Processing of Reverse Top-k Queries

Autorzy: Panagiotis Nikitopoulos, Georgios A. Sfyris, Akrivi Vlachou, Christos Doulkeridis,Orestis Telelis
Opublikowane w: 35th International Conference on Data Engineering, 2019, Strona(/y) pp. 1586-1589
Wydawca: IEEE
DOI: 10.1109/icde.2019.00148

Aggregated patient journeys and no-show rates of oximetry outreach network in east Anglia

Autorzy: Kieran Lee, Natalia Andrienko, Gennady Andrienko, Ibad Kureshi, Toni Staykova and Ian Smith
Opublikowane w: BMJ Open Respiratory Research 2019, Numer Volume 6, Numer Suppl 1, 2019
Wydawca: BJM
DOI: 10.1136/bmjresp-2019-bssconf.45

Hot Spot Analysis over Big Trajectory Data

Autorzy: Panagiotis Nikitopoulos, Aris-Iakovos Paraskevopoulos, Christos Doulkeridis, Nikos Pelekis, Yannis Theodoridis
Opublikowane w: 2018 IEEE International Conference on Big Data (Big Data), 2018, Strona(/y) 761-770, ISBN 978-1-5386-5035-6
Wydawca: IEEE
DOI: 10.1109/bigdata.2018.8622376

“Integration of Mobility Data with Weather Information”

Autorzy: Nikolaos Koutroumanis, Georgios Santipantakis, Apostolos Glenis, Christos Doulkeridis and George Vouros
Opublikowane w: EDBT/ICDT workshops 2019, 2019
Wydawca: EDBT/ICDT

Does chronic opioid use impact OSA diagnosis and response to treatment with CPAP?

Autorzy: Mary Qian, Kieran Lee, Earl Palas, Susan George, Ying Huang, Safin Rahman, Na Li, Darren Wong, Martina Mason, Ian Smith
Opublikowane w: Sleep and control of breathing, 2020, Strona(/y) 2152
Wydawca: European Respiratory Society
DOI: 10.1183/13993003.congress-2020.2152

Online Event Recognition from Moving Vehicle: Application Paper

Autorzy: TSILIONIS, E., KOUTROUMANIS, N., NIKITOPOULOS, P., DOULKERIDIS, C., & ARTIKIS, A.
Opublikowane w: Theory and Practice of Logical Programming, Numer Volume 19 , Special Numer 5-6: 35th International Conference on Logic Programming, 2019, Strona(/y) 841-856
Wydawca: Cambridge University Press
DOI: 10.1017/s147106841900022x

Scalable Distributed Subtrajectory Clustering

Autorzy: Panagiotis Tampakis, Nikos Pelekis, Christos Doulkeridis, Yannis Theodoridis
Opublikowane w: 2019 IEEE International Conference on Big Data (Big Data), 2019, Strona(/y) 950-959, ISBN 978-1-7281-0858-2
Wydawca: IEEE
DOI: 10.1109/bigdata47090.2019.9005563

Cross-scale spatial enrichment of trajectories for speeding up similarity computing

Autorzy: Cheng Fu, Robert Weibel
Opublikowane w: 15th International Conference on Location-Based Services, 2019, Strona(/y) 135-140
Wydawca: Vienna University of Technology
DOI: 10.34726/lbs2019

Obstructive sleep apnoea (OSA) severity in patients with chronic opioid use: a risk factor matched study

Autorzy: K Lee, M Mason, I Smith
Opublikowane w: Numer Volume 74, Numer Suppl 2, 2019
Wydawca: BMJ
DOI: 10.1136/thorax-2019-BTSabstracts2019.324

Automating and utilising equal-distribution data classification

Autorzy: Gennady Andrienko, Natalia Andrienko, Ibad Kureshi, Kieran Lee, Ian Smith, Toni Staykova
Opublikowane w: International Journal of Cartography, 2020, Strona(/y) 1-16, ISSN 2372-9333
Wydawca: Taylor & Francis
DOI: 10.1080/23729333.2020.1863000

Guidance in the human–machine analytics process

Autorzy: Christopher Collins, Natalia Andrienko, Tobias Schreck, Jing Yang, Jaegul Choo, Ulrich Engelke, Amit Jena, Tim Dwyer
Opublikowane w: Visual Informatics, Numer 2/3, 2018, Strona(/y) 166-180, ISSN 2468-502X
Wydawca: Elsevier. B.V.
DOI: 10.1016/j.visinf.2018.09.003

Distributed Subtrajectory Join on Massive Datasets

Autorzy: Panagiotis Tampakis, Christos Doulkeridis, Nikos Pelekis, Yannis Theodoridis
Opublikowane w: ACM Transactions on Spatial Algorithms and Systems, Numer 6/2, 2020, Strona(/y) 1-29, ISSN 2374-0353
Wydawca: Association for Computing Machinery
DOI: 10.1145/3373642

Applications of Trajectory Data From the Perspective of a Road Transportation Agency: Literature Review and Maryland Case Study

Autorzy: Nikola Markovic, Przemylaw Sekula, Zachary Vander Laan, Gennady Andrienko, Natalia Andrienko
Opublikowane w: IEEE Transactions on Intelligent Transportation Systems, Numer 20/5, 2019, Strona(/y) 1858-1869, ISSN 1524-9050
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2018.2843298

Analysis of Flight Variability: a Systematic Approach

Autorzy: Natalia Andrienko, Gennady Andrienko, Jose Manuel Cordero Garcia, David Scarlatti
Opublikowane w: IEEE Transactions on Visualization and Computer Graphics, Numer 25/1, 2019, Strona(/y) 54-64, ISSN 1077-2626
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvcg.2018.2864811

COPE: Interactive Exploration of Co-occurrence Patterns in Spatial Time Series

Autorzy: Jie Li, Siming Chen, Kang Zhang, Gennady Andrienko, Natalia Andrienko
Opublikowane w: IEEE Transactions on Visualization and Computer Graphics, 2018, Strona(/y) 1-1, ISSN 1077-2626
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvcg.2018.2851227

Car telematics big data analytics for insurance and innovative mobility

Autorzy: Longhi, L., Nanni, M.
Opublikowane w: Journal of Ambient Intelligence and Humanized Computing, 2019, ISSN 0000-0000
Wydawca: Springer
DOI: 10.1007/s12652-019-01632-4

Learning from Our Movements – The Mobility Data Analytics Era

Autorzy: Yannis Theodoridis
Opublikowane w: Multiple-Aspect Analysis of Semantic Trajectories - First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings, Numer 11889, 2020, Strona(/y) 1-5, ISBN 978-3-030-38080-9
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-38081-6_1

Online Learning of Weighted Relational Rules for Complex Event Recognition

Autorzy: Nikos Katzouris, Evangelos Michelioudakis, Alexander Artikis, Georgios Paliouras
Opublikowane w: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part II, Numer 11052, 2019, Strona(/y) 396-413, ISBN 978-3-030-10927-1
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-10928-8_24

Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers

Autorzy: Riccardo Guidotti, Anna Monreale, Leonardo Cariaggi
Opublikowane w: Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I, Numer 11439, 2019, Strona(/y) 55-68, ISBN 978-3-030-16147-7
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-16148-4_5

Obstructive sleep apnoea (OSA) and response to CPAP treatment in patients with chronic opioid use

Autorzy: Lee K, Mason M, Smith I
Opublikowane w: Thorax 2018;73:A128-A129, 2018
Wydawca: BMJ

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