Risultati finali
The extended Living archive platform will be delivered and described with all its functionalities.
Social mining method and service integration 2Consolidated design and realization of first batch of integrated methods and services
Analytical Crawling PlatformThe final analytical crawling platform will be delivered and described with all its functionalities
Crowd sensing platformThe methods and technologies to collect data from the participatory and\or opportunistic crowd sensing.
Social mining method and service integration 1Design, integration specifications, and early prototypes.
VRE specification and software 1It describes and delivers the VREs’ software, to be deployed as due by MS2, MS4 and MS6. In particular the first will concern the resource catalogue.
Resource adaptation to register to the e-infrastructure 1It delivers and describes the software release of all the adaptations of existing and newly developed resources. It describes also all the activities carried out by the partners in order to register those resources to the e-infrastructure.
Evaluation Framework Toolkit and Datasets 2D11.2 will contain the SoBigData evaluation data collection toolkit, which will enable the campaign participants to create automatically the evaluation datasets, as described in T11.2. In addition, D11.2 will comprise the materials and datasets created for the SoBigData evaluation campaigns, carried out as part of T11.2, and will report on the definition of the exploratories of T11.4. All five thematic areas covered by the SoBigData project will have their corresponding datasets: text and social media mining (USFD, UNIPI), social network analysis (CNR, AALTO), human mobility analytics (CNR), web analytics (LUH), visual analytics (FRH). FRH will have overall responsibility for coordinating the deliverable production.
Resource adaptation to register to the e-infrastructure 3It delivers and describes the software release of all the adaptations of existing and newly developed resources. It describes also all the activities carried out by the partners in order to register those resources to the e-infrastructure.
Resource adaptation to register to the e-infrastructure 2It delivers and describes the software release of all the adaptations of existing and newly developed resources. It describes also all the activities carried out by the partners in order to register those resources to the e-infrastructure.
Social mining method and service integration 3Consolidated design and integration of enhanced methods and services.
Evaluation Framework Toolkit and Datasets 1D112 will contain the SoBigData evaluation data collection toolkit which will enable the campaign participants to create automatically the evaluation datasets as described in T112 In addition D112 will comprise the materials and datasets created for the SoBigData evaluation campaigns carried out as part of T112 and will report on the definition of the exploratories of T114 All five thematic areas covered by the SoBigData project will have their corresponding datasets text and social media mining USFD UNIPI social network analysis CNR AALTO human mobility analytics CNR web analytics LUH visual analytics FRH FRH will have overall responsibility for coordinating the deliverable production
This report will provide a detailed sustainability plan for the new pan-European SoBigData infrastructure.
SoBigData e-Infrastructure release plan 2Describes the set of actions to deliver subsequent releases of the eInfrastructure as due by the milestones MS2 MS3 and MS5 Plans will be drafted in synergy with all WP8 and WP9 partners and will drive the incremental integration of existing services in the einfrastructure resulting in the software releases indicated in D103 Initial plans will include deployment of enabling services and the portal of the einfrastructure
IP principles and business models 1Report describing responsible IP principles and practices in SoBigData and listing of best practices that have evolved in and outside SoBigData so as to accommodate both legitimate IP claims in Data and privacy related rights.
All Relevant Boards establishedDefinition of the composition and the installation of the boards for the management of the project.
Periodic reports on TA activities 1It will report on calls initiated in the reporting period, user selection process and outcomes, TA visit reports, and self-evaluation. The M18 and M36 periodic reports will also contain plans for TA calls for the subsequent period.
Periodic dissemination and impact report and plan for following year 2The annually updated report includes the description of dissemination and impact activities undertaken and scientific papers published, as well as the planning for the following year.
SoBigData e-Infrastructure release plan 3Describes the set of actions to deliver subsequent releases of the e-Infrastructure as due by the milestones MS2, MS3 and MS5. Plans will be drafted in synergy with all WP8 and WP9 partners, and will drive the incremental integration of existing services in the e-infrastructure, resulting in the software releases indicated in D10.3. Initial plans will include deployment of enabling services and the portal of the e-infrastructure.
IP principles and business models 3Report describing responsible IP principles and practices in SoBigData and listing of best practices that have evolved in and outside SoBigData so as to accommodate both legitimate IP claims in Data and privacy related rights.
Training Programme 1This deliverable contains the plan of the educational activities for every year.
Legal and Ethical Framework for SoBigData 3Report describing the evolving versions of the legal and ethical framework of the SoBigData ecosystem together with recommendations and provisions for research procedures
Periodic Training Planning Reports 1This deliverable reports on the training activities carried out in this workpackage, at key milestones. This will include reports on summer schools, datathons, and training events for schools and underrepresented communities in data science. Attendance details and other statistics will be collected and reported.
Value-Sensitive Design & Privacy-by-Design technologies for big data analytics 1Report describing the evolving versions of the VSD and PbD methods, recommendations and provisions to be adopted in the SoBigData ecosystem, which will drive the integration and enhancement of social mining services and tools of JRA2 into the research infrastructure.
Evaluation Framework Design and PositioningThis deliverable will report on the results of T111 and position the SoBigData evaluation framework in the context of other relevant established initiatives in the fields of text mining natural language processing social network analysis human mobility analytics web mining and visual analytics D111 will also contain the design specification of the SoBigData evaluation framework based on the results from the first 6 months of work in T112 KCL will lead this deliverable with contributions provided by all partners from T111 2
SoBigData Evaluation Framework: Engagement and Sustainability ReportThis deliverable will report on the activities of T11.3, and more specifically on stakeholder engagement, commercial sponsorship, and sustainability activities. ETHZ as T11.3 leader will be responsible for coordinating input and deliverable completion.
Training Activities: planning, material and reports 2This deliverable reports on the training activities carried out in this workpackage. It will include reports on summer schools, datathons, and training events for schools and underrepresented communities in data science. Attendance details and other statistics will be collected and reported. Furthermore, this deliverable reports and publishes the online training materials, as well as those created for the face to face training events. We will also include access statistics for the online training materials.
Legal and Ethical Framework for SoBigData 1Report describing the evolving versions of the legal and ethical framework of the SoBigData ecosystem, together with recommendations and provisions for research procedures.
Initial dissemination and impact planThe plan concerns the first year of activity and matches the project dissemination goals with the available opportunities. It also outlines the activity for the second year according to the information available at the time of delivery. Finally it includes the initial publication plan.
VA e-Infrastructure Service Provision and Operation Report 2Report on the e-Infrastructure operation activity since its last deployment, including a detailed set of usage indicators (e.g. number of resources, accesses to resources, usage of resources from scientists of different infrastructures, etc.). Indicators will be generated automatically by the VA e-infrastructure and their current status can be consulted at any moment from the VA e-infrastructure portal. This deliverable will include the assessment report provided by Project Advisory Board.
Ethics Board EstablishmentReport describing the composition of the ethics board and its plan of activities, governance framework, by laws, responsibilities of members and principles, schedule of meetings, reporting and event calendar.
SoBigData e-Infrastructure release plan 1Describes the set of actions to deliver subsequent releases of the e-Infrastructure as due by the milestones MS2, MS3 and MS5. Plans will be drafted in synergy with all WP8 and WP9 partners, and will drive the incremental integration of existing services in the e-infrastructure, resulting in the software releases indicated in D10.3. Initial plans will include deployment of enabling services and the portal of the e-infrastructure.
Value-Sensitive Design & Privacy-by-Design technologies for big data analytics 2Report describing the evolving versions of the VSD and PbD methods recommendations and provisions to be adopted in the SoBigData ecosystem which will drive the integration and enhancement of social mining services and tools of JRA2 into the research infrastructure
VA e-Infrastructure Service Provision and Operation Report 3Report on the e-Infrastructure operation activity since its last deployment, including a detailed set of usage indicators (e.g. number of resources, accesses to resources, usage of resources from scientists of different infrastructures, etc.). Indicators will be generated automatically by the VA e-infrastructure and their current status can be consulted at any moment from the VA e-infrastructure portal. This deliverable will include the assessment report provided by Project Advisory Board.
Training Programme 2This deliverable contains the plan of the educational activities for the second reporting period
Legal and Ethical Framework for SoBigData 2Report describing the evolving versions of the legal and ethical framework of the SoBigData ecosystem together with recommendations and provisions for research procedures
Periodic dissemination and impact report and plan for following year 1The annually updated report includes the description of dissemination and impact activities undertaken and scientific papers published, as well as the planning for the following year.
Fact sheets aimed at different stakeholdersThese fact sheets will be published on the project web-site for download by users and others, and they may also serve as hand-outs at events such as workshops and conferences.
Periodic reports on TA activities 3It will report on calls initiated in the reporting period, user selection process and outcomes, TA visit reports, and self-evaluation. The M18 and M36 periodic reports will also contain plans for TA calls for the subsequent period.
Data Scientist Training Materials 1This deliverable periodically reports and publishes the online training materials as well as those created for the face to face training events We will also include access statistics for the online training materials
Periodic reports on TA activities 2It will report on calls initiated in the reporting period, user selection process and outcomes, TA visit reports, and self-evaluation. The M18 and M36 periodic reports will also contain plans for TA calls for the subsequent period.
Preliminary Innovation and Action PlanThis deliverable draws the plan of work for T5.1 and T5.2, including a concrete action plan for the innovation activities aimed at widening the impact of the SoBigData integrated research infrastructure within a 5 years horizon, i.e. including the second part of the project and a further period beyond the funded one.
IP principles and business models 2Report describing responsible IP principles and practices in SoBigData and listing of best practices that have evolved in and outside SoBigData so as to accommodate both legitimate IP claims in Data and privacy related rights
VA e-Infrastructure Service Provision and Operation Report 1Report on the e-Infrastructure operation activity since its last deployment, including a detailed set of usage indicators (e.g. number of resources, accesses to resources, usage of resources from scientists of different infrastructures, etc.). Indicators will be generated automatically by the VA e-infrastructure and their current status can be consulted at any moment from the VA e-infrastructure portal. This deliverable will include the assessment report provided by Project Advisory Board.
Entrepreneurial skills materials and activities undertakenIt comprises the materials (slides, videos, etc.) and a report on activities undertaken as part of T5.3.
Training Activities: planning, material and reports 1This deliverable reports on the training activities carried out in this workpackage, at key milestones. This will include the planning, the material and the reports on summer schools, datathons, and training events for schools and underrepresented communities in data science. Attendance details and other statistics will be collected and reported. Finally, the deliverable 4.2 contains the plan of the educational activities for the last year of the project.
Final dissemination and community building eventsThe report includes the description of dissemination activities and of the events organized during months 37-52. This document will include also the overview of the final dissemination event and assesses all the dissemination activities carried out during the project, providing overall statistics and comparisons. It also includes the complete list of publications.
Final Innovation Report and Action PlanThe report updates the Innovation and Action Plan, keeping into account the progress of the SoBigData infrastructure and any change intervened in the general conditions during the second part of the project. It describes actions required in a 5-10 years horizon.
This software prototype deliverable consists of the customisation of the Innovation Accelerator web platform including Living Science as well as delivering impact and innovation metrics for publications and collaborations arising from SoBigData and other big social data analytics projects and key players
SoBigData e-infrastructure and VRE releaseIt describes and delivers the platform and the VREs planned in D10.2 and to be deployed as due by MS2, 3, 4 and 6.
SoBigData e-Infrastructure software release 1It describes and delivers the software release planned in D10.2 and to be deployed as due by MS2, 3 and 5.
Project web site, project presentation, and social media presenceThis deliverable will contain the project presentation, the project website, and the project’s social media presence. These comprise the main dissemination channels for promoting and communicating the project and relevant activities and achievements. The project web site, presentation, and social media presence will be updated continuously throughout the project.
SoBigData e-Infrastructure software release 2It describes and delivers the software release planned in D102 and to be deployed as due by MS2 3 and 5
Innovation Accelerator 2This software prototype deliverable consists of the customisation of the Innovation Accelerator web platform, including Living Science, as well as delivering impact and innovation metrics for publications and collaborations arising from SoBigData and other big social data analytics projects and key players.
The deliverable has an “on-going” nature and organizes and presents the results of T10.1. It will serve as a deliverable and as release-driven guidelines for all SoBigData e-infrastructure stakeholders.
Data Management reportThe purpose of this deliverable is to provide an ongoing and up to date wiki containing the description of the available datasets in the consortium. The description includes statistics, metadata, sharing policies and archiving technologies as well as the preservation provisions and lifespan.
Data processing workflow specification languageThe deliverable defines the workflow specification language, together with use-cases, and documentation for users.
Pubblicazioni
Autori:
Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
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Proceedings of the 2017 ACM on Web Science Conference - WebSci '17, 2017, Pagina/e 263-266, ISBN 9781-450348966
Editore:
ACM Press
DOI:
10.1145/3091478.3091515
Autori:
Frederick Ayala-Gómez, Bálint Daróczy, Michael Mathioudakis, András Benczúr, Aristides Gionis
Pubblicato in:
Proceedings of the 2017 ACM on Web Science Conference - WebSci '17, 2017, Pagina/e 93-102, ISBN 9781-450348966
Editore:
ACM Press
DOI:
10.1145/3091478.3091485
Autori:
Preethi Lahoti, Gianmarco De Francisci Morales, Aristides Gionis
Pubblicato in:
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17, 2017, Pagina/e 155-162, ISBN 9781-450349932
Editore:
ACM Press
DOI:
10.1145/3110025.3110044
Autori:
Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
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Proceedings of the 2017 ACM on Web Science Conference - WebSci '17, 2017, Pagina/e 43-52, ISBN 9781-450348966
Editore:
ACM Press
DOI:
10.1145/3091478.3091486
Autori:
Eric Malmi, Aristides Gionis, Evimaria Terzi
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Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17, 2017, Pagina/e 1687-1696, ISBN 9781-450349185
Editore:
ACM Press
DOI:
10.1145/3132847.3132983
Autori:
Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis
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2017, Pagina/e 701-716
Editore:
Springer International Publishing
DOI:
10.1007/978-3-319-71249-9_42
Autori:
Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis
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Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '17, 2017, Pagina/e 1017-1025, ISBN 9781-450348874
Editore:
ACM Press
DOI:
10.1145/3097983.3098199
Autori:
Luca Pappalardo, Paolo Cintia, Dino Pedreschi, Fosca Giannotti, Albert-Laszlo Barabasi
Pubblicato in:
2017
Editore:
Cornell University Library
Autori:
Kiran Garimella, Aristides Gionis, Nikos Parotsidis, Nikolaj Tatti
Pubblicato in:
31st Annual Conference on Neural Information Processing Systems (NIPS), 2018
Editore:
Cornell University Library
Autori:
A. Rossi, L. Pappalardo, P. Cintia, J. Fernandez, M. F. Iaia, D. Medina
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MLSA@PKDD/ECML, 2017
Editore:
MLSA@PKDD/ECML
Autori:
R. Guidotti, M. Coscia
Pubblicato in:
International Conference on Smart Objects and Technologies for Social Good GOODTECHS 2017: Smart Objects and Technologies for Social Good, 2018
Editore:
Springer
Autori:
Emina Boudemagh, Izabela Moise
Pubblicato in:
Eleventh International AAAI Conference on Web and Social Media, 2017
Editore:
AAAI Press
Autori:
Laura Pollacci, Riccardo Guidotti, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi
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2017, Pagina/e 183-194
Editore:
Springer International Publishing
DOI:
10.1007/978-3-319-76111-4_19
Autori:
Riccardo Guidotti, Anna Monreale, Mirco Nanni, Fosca Giannotti, Dino Pedreschi
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Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '17, 2017, Pagina/e 195-204, ISBN 9781-450348874
Editore:
ACM Press
DOI:
10.1145/3097983.3098034
Autori:
Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino Pedreschi
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2017 IEEE International Conference on Data Mining (ICDM), 2017, Pagina/e 895-900, ISBN 978-1-5386-3835-4
Editore:
IEEE
DOI:
10.1109/ICDM.2017.111
Autori:
Riccardo Guidotti, Roberto Trasarti, Mirco Nanni, Fosca Giannotti, Dino Pedreschi
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2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2017, Pagina/e 303-312, ISBN 978-1-5090-5004-8
Editore:
IEEE
DOI:
10.1109/DSAA.2017.12
Autori:
Shihan Wang, Izabela Moise, Dirk Helbing, Takao Terano
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2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), 2017, Pagina/e 654-659, ISBN 978-1-5386-0367-3
Editore:
IEEE
DOI:
10.1109/COMPSAC.2017.115
Autori:
Danielle Griego, Varin Buff, Eric Hayoz, Izabela Moise, Evangelos Pournaras
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2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA), 2017, Pagina/e 1004-1011, ISBN 978-1-5090-6029-0
Editore:
IEEE
DOI:
10.1109/AINA.2017.14
Autori:
Andrea Gigli, Fabrizio Lillo, Daniele Regoli
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RecSys ACM, 2017
Editore:
ACM
Autori:
Cristian Galleguillos, Alina Sîrbu, Zeynep Kiziltan, Ozalp Babaoglu, Andrea Borghesi, Thomas Bridi
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MOD 2017 - The Third International Conference on Machine Learning, Optimization and Big Data, 2017, Pagina/e 449-461
Editore:
Springer International Publishing
DOI:
10.1007/978-3-319-72926-8_37
Autori:
Pedreschi, Dino; Giannotti, Fosca; Guidotti, Riccardo; Monreale, Anna; Pappalardo, Luca; Ruggieri, Salvatore; Turini, Franco
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5th International Conference on Big Data Analysis and Data Mining, Numero 1, 2018
Editore:
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Autori:
Chiara Boldrini, Mustafa Toprak, Marco Conti, Andrea Passarella
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ACM Press
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10.1145/3184558.3191596
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Bhattacharya, Kunal; Kaski, Kimmo
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Cornell University Library, Numero 2, 2018
Editore:
Cornell University Library
Autori:
Eric Malmi, Aristides Gionis, Arno Solin
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Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 2018, Pagina/e 883-892, ISBN 9781-450356398
Editore:
ACM Press
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Pescosolido, Loreto; Conti, Marco; Passarella, Andrea
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Numero 2, 2018
Editore:
arxiv
Autori:
Preethi Lahoti, Kiran Garimella, Aristides Gionis
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Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18, 2018, Pagina/e 351-359, ISBN 9781-450355810
Editore:
ACM Press
DOI:
10.1145/3159652.3159669
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Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
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Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 2018, Pagina/e 913-922, ISBN 9781-450356398
Editore:
ACM Press
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Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin
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2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018, Pagina/e 1289-1293, ISBN 978-1-5386-9288-2
Editore:
IEEE
DOI:
10.1109/icdmw.2018.00183
Autori:
Kiran Garimella, Orestis Kostakis, Michael Mathioudakis
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Proceedings of the 2017 ACM on Web Science Conference - WebSci '17, 2017, Pagina/e 259-262, ISBN 9781-450348966
Editore:
ACM Press
DOI:
10.1145/3091478.3091514
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Gossen, Gerhard; Demidova, Elena; Risse, Thomas
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International Conference on Theory and Practice of Digital Libraries TPDL 2017, Numero 3, 2017
Editore:
Springer
DOI:
10.1007/978-3-319-67008-9_10
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Coletto, Mauro; Garimella, Kiran; Gionis, Aristides; Lucchese, Claudio
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THE 11TH INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA (ICWSM-17), Numero 3, 2017, ISBN 9781-577357889
Editore:
ICWSM
Autori:
Kiran Garimella, Gianmarco De Francisc iMorales, Aristides Gionis, Michael Mathioudakis
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Editore:
ACM Press
DOI:
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Autori:
Esther Galbrun, Behzad Golshan, Aristides Gionis, Evimaria Terzi
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Society for Industrial and Applied Mathematics
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10.1007/978-3-319-70169-1_9
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Coletto, Mauro; Aiello, Luca Maria; Lucchese, Claudio; Silvestri, Fabrizio
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ICWSM, Numero 3, 2016
Editore:
ICWSM
Autori:
Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso
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Editore:
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DOI:
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Autori:
Han Xiao, Polina Rozenshtein, Aristides Gionis
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Joint European Conference on Machine Learning and Knowledge Discovery in Databases ECML PKDD 2016, 2016, Pagina/e 690-705
Editore:
Springer International Publishing
DOI:
10.1007/978-3-319-46227-1_43
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Letizia Milli, Giulio Rossetti, Dino Pedreschi, Fosca Giannotti
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Springer International Publishing
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Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo, Alina Sirbu, Dino Pedreschi, Fosca Giannotti
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2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2017, Pagina/e 155-164, ISBN 978-1-5090-5004-8
Editore:
IEEE
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10.1109/DSAA.2017.6
Autori:
Han Xiao, Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis
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SIAM International Conference on Data Mining, 2018, Pagina/e 666-674
Editore:
Society for Industrial and Applied Mathematics
DOI:
10.1137/1.9781611975321.75
Autori:
Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
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Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17, 2017, Pagina/e 1281-1284, ISBN 9781-450350228
Editore:
ACM Press
DOI:
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Autori:
Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale
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International Conference on Computer Safety, Reliability, and Security SAFECOMP 2017: Computer Safety, Reliability, and Security, 2017, Pagina/e 415-426
Editore:
Springer International Publishing
DOI:
10.1007/978-3-319-66284-8_35
Autori:
Giuseppe Amato, Paolo Bolettieri, Vinicius Monteiro de Lira, Cristina Ioana Muntean, Raffaele Perego, Chiara Renso
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Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17, 2017, Pagina/e 1333-1336, ISBN 9781-450350228
Editore:
ACM Press
DOI:
10.1145/3077136.3084142
Autori:
Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
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The Web Conference (WWW), 2018
Editore:
Arxiv.org
Autori:
Antonis Matakos, Aristides Gionis
Pubblicato in:
ICDM, 2018
Editore:
icdm2018.org
Autori:
Hax Xiao, Cigdem Aslay, Aristides Gionis
Pubblicato in:
2018
Editore:
ICDM.org
Autori:
Cigdem Aslay, Antonis Matakos, Esther Galbrun, Aristides Gionis
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2018 IEEE International Conference on Data Mining (ICDM), 2018, Pagina/e 863-868, ISBN 978-1-5386-9159-5
Editore:
IEEE
DOI:
10.1109/icdm.2018.00102
Autori:
Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, and Aristides Gionis
Pubblicato in:
ICDM 2018, 2018
Editore:
ICDM:ORG
Autori:
Polina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, Nikolaj Tatti
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2018 IEEE International Conference on Data Mining (ICDM), 2018, Pagina/e 397-406, ISBN 978-1-5386-9159-5
Editore:
IEEE
DOI:
10.1109/icdm.2018.00055
Autori:
Stefano Cresci, Andrea Cimino, Marco Avvenuti, Maurizio Tesconi, Felice Dell'Orletta
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THE 12TH INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA (ICWSM-18), 2018
Editore:
ICSWM 2018
Autori:
Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Orlando, Salvatore Trani
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The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18, 2018, Pagina/e 155-164, ISBN 9781-450356572
Editore:
ACM Press
DOI:
10.1145/3209978.3210048
Autori:
Stefano Cresci, Fabrizio Lillo, Daniele Regoli, Serena Tardelli, Maurizio Tesconi
Pubblicato in:
ICWSM, 2018
Editore:
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Matija Piškorec, Nino Antulov-Fantulin, Iva Miholić, Tomislav Šmuc, Mile Šikić
Pubblicato in:
Complex Networks & Their Applications VI, Numero 689, 2018, Pagina/e 1015-1027, ISBN 978-3-319-72149-1
Editore:
Springer International Publishing
DOI:
10.1007/978-3-319-72150-7_82
Autori:
Roberto Pellungrini, Francesca Pratesi, Luca Pappalardo
Pubblicato in:
Personal Analytics and Privacy. An Individual and Collective Perspective, Numero 10708, 2017, Pagina/e 17-22, ISBN 978-3-319-71969-6
Editore:
Springer International Publishing
DOI:
10.1007/978-3-319-71970-2_3
Autori:
Piero Mazzarisi, Fabrizio Lillo
Pubblicato in:
Econophysics and Sociophysics: Recent Progress and Future Directions, 2017, Pagina/e 201-215, ISBN 978-3-319-47704-6
Editore:
Springer International Publishing
DOI:
10.1007/978-3-319-47705-3_15
Autori:
Risko Ruus, Rajesh Sharma
Pubblicato in:
Complex Networks and Their Applications VIII - Volume 2 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019, Numero 882, 2020, Pagina/e 982-994, ISBN 978-3-030-36682-7
Editore:
Springer International Publishing
DOI:
10.1007/978-3-030-36683-4_78
Autori:
Xiao-Long Ren, Nino Antulov-Fantulin
Pubblicato in:
Complex Networks and Their Applications VIII - Volume 1 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019, Numero 881, 2020, Pagina/e 783-793, ISBN 978-3-030-36686-5
Editore:
Springer International Publishing
DOI:
10.1007/978-3-030-36687-2_65
Autori:
Hendrik Hiir, Rajesh Sharma, Anto Aasa, Erki Saluveer
Pubblicato in:
Complex Networks and Their Applications VIII - Volume 2 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019, Numero 882, 2020, Pagina/e 415-426, ISBN 978-3-030-36682-7
Editore:
Springer International Publishing
DOI:
10.1007/978-3-030-36683-4_34
Autori:
Roberto Pellungrini, Anna Monreale, Riccardo Guidotti
Pubblicato in:
ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Numero 11054, 2019, Pagina/e 141-155, ISBN 978-3-030-13462-4
Editore:
Springer International Publishing
DOI:
10.1007/978-3-030-13463-1_11
Autori:
Cristian Galleguillos, Zeynep Kiziltan, Alina Sîrbu, Ozalp Babaoglu
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Principles and Practice of Constraint Programming - 25th International Conference, CP 2019, Stamford, CT, USA, September 30 – October 4, 2019, Proceedings, Numero 11802, 2019, Pagina/e 438-455, ISBN 978-3-030-30047-0
Editore:
Springer International Publishing
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10.1007/978-3-030-30048-7_26
Autori:
Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
Pubblicato in:
Euro-Par 2019: Parallel Processing - 25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, August 26–30, 2019, Proceedings, Numero 11725, 2019, Pagina/e 3-16, ISBN 978-3-030-29399-4
Editore:
Springer International Publishing
DOI:
10.1007/978-3-030-29400-7_1
Autori:
Simone Bertoli, Paolo Cintia, Fosca Giannotti, Etienne Madinier, Caglar Ozden, Michael Packard, Dino Pedreschi, Hillel Rapoport, Alina Sîrbu, Biagio Speciale
Pubblicato in:
Guide to Mobile Data Analytics in Refugee Scenarios - The 'Data for Refugees Challenge' Study, 2019, Pagina/e 179-199, ISBN 978-3-030-12553-0
Editore:
Springer International Publishing
DOI:
10.1007/978-3-030-12554-7_10
Autori:
Riccardo Guidotti, Anna Monreale, Leonardo Cariaggi
Pubblicato in:
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I, Numero 11439, 2019, Pagina/e 55-68, ISBN 978-3-030-16147-7
Editore:
Springer International Publishing
DOI:
10.1007/978-3-030-16148-4_5
Autori:
Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale
Pubblicato in:
Software Technologies: Applications and Foundations - STAF 2018 Collocated Workshops, Toulouse, France, June 25-29, 2018, Revised Selected Papers, Numero 11176, 2018, Pagina/e 114-129, ISBN 978-3-030-04770-2
Editore:
Springer International Publishing
DOI:
10.1007/978-3-030-04771-9_10
Autori:
Riccardo Guidotti, Michele Coscia
Pubblicato in:
Smart Objects and Technologies for Social Good, Numero 233, 2018, Pagina/e 342-352, ISBN 978-3-319-76110-7
Editore:
Springer International Publishing
DOI:
10.1007/978-3-319-76111-4_34
Autori:
Riccardo Guidotti, Anna Monreale, Dino Pedreschi, Serge Abiteboul
Pubblicato in:
Lecture Notes in Computer Science, 2017, ISBN 978-3-319-71970-2
Editore:
Springer International Publishing
DOI:
10.1007/978-3-319-71970-2
Autori:
Giulio Rossetti, Luca Pappalardo, Salvatore Rinzivillo
Pubblicato in:
2016, Pagina/e 133-144
Editore:
Springer International Publishing
DOI:
10.1007/978-3-319-30569-1_10
Autori:
Cresci, Stefano; Lillo, Fabrizio; Regoli, Daniele; Tardelli, Serena; Tesconi, Maurizio
Pubblicato in:
Numero 2, 2018
Editore:
Cornell University Library
Autori:
Adriaens, Florian; De Bie, Tijl; Gionis, Aristides; Lijffijt, Jefrey; Rozenshtein, Polina
Pubblicato in:
Numero 2, 2018
Editore:
arxiv.org
Autori:
Mazzarisi, Piero; Barucca, Paolo; Lillo, Fabrizio; Tantari, Daniele
Pubblicato in:
Numero 3, 2017
Editore:
arxiv.org
Autori:
Ren, Xiao-Long; Gleinig, Niels; Helbing, Dirk; Antulov-Fantulin, Nino
Pubblicato in:
Numero 3, 2018
Editore:
arxiv
Autori:
Garimella, Kiran; Cohen, Jonathan; Weber, Ingmar
Pubblicato in:
Numero 3, 2017
Editore:
arxiv.org
Autori:
Kunal Bhattacharya, Daniel Monsivais and Kimmo Kaski (Aalto University), Mikaela Fudolig and Hang Hyun Jo (Asia Pacific Center for Theoretical Physics)
Pubblicato in:
2018
Editore:
arxiv.org
Autori:
L. Pappalardo, P. Cintia, P. Ferragina, E. Massucco, D. Pedreschi, F. Giannotti
Pubblicato in:
2018
Editore:
arxiv.org
Autori:
Charlotte James, Luca Pappalardo, Alina Sirbu, and Filippo Simini
Pubblicato in:
2018
Editore:
arxiv.org
Autori:
Francesca Pratesi, Anna Monreale, Roberto Trasarti, Fosca Giannotti, Dino Pedreschi, Tadashi Yanagihara
Pubblicato in:
2018
Editore:
Transactions on Data Privacy
Autori:
Gorrell, Genevieve; Bontcheva, Kalina; Derczynski, Leon; Kochkina, Elena; Liakata, Maria; Zubiaga, Arkaitz
Pubblicato in:
Numero 5, 2019
Editore:
ArXiv
Autori:
Stefano Cresci
Pubblicato in:
2018
Editore:
University of Pisa, Italy
Autori:
Elisa Letizia, Paolo Barucca, Fabrizio Lillo
Pubblicato in:
arXiv.org e-Print archive, 2016, ISSN 2331-8422
Editore:
Cornell University
Autori:
Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
Pubblicato in:
arXiv.org e-Print archive, 2017, ISSN 2331-8422
Editore:
Cornell University
Autori:
Nino Antulov-Fantulin, Dijana Tolic
Pubblicato in:
arXiv.org e-Print archive, 2016, ISSN 2331-8422
Editore:
Cornell University
Autori:
Pratesi, Francesca; Monreale, Anna; Trasarti, Roberto; Giannotti, Fosca; Pedreschi, Dino; Yanagihara, Tadashi
Pubblicato in:
Transactions on Data Privacy 2018, Numero 5, 2018, ISSN 1888-5063
Editore:
Institut d'Investigacio en Intel-ligencia Artificial - Consejo Superior Investigaciones Cientificas (IIIA-CSIC)
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