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Biblioteca

MARC Lista (tabellare)
Proceedings of the 37th ACM International Conference on the Design of Communication / / Julie Staggers
Proceedings of the 37th ACM International Conference on the Design of Communication / / Julie Staggers
Autore Staggers Julie
Pubbl/distr/stampa New York, NY : , : Association for Computing Machinery, , 2019
Descrizione fisica 1 online resource (308 pages)
Disciplina 005.15
Soggetto topico Electronic data processing documentation
Interactive computer systems
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910412062703321
Staggers Julie  
New York, NY : , : Association for Computing Machinery, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Proceedings of the 40th ACM International Conference on Design of Communication / / Michael Trice, [and three others]
Proceedings of the 40th ACM International Conference on Design of Communication / / Michael Trice, [and three others]
Autore Trice Michael
Pubbl/distr/stampa New York : , : Association for Computing Machinery, , 2022
Descrizione fisica 1 online resource (187 pages) : illustrations
Disciplina 004
Soggetto topico Electronic data processing documentation
Interactive computer systems
Computer science
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910623981703321
Trice Michael  
New York : , : Association for Computing Machinery, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Proceedings of the ACM SIGDOC 84, Third International Conference on Systems Documentation : papers presented at the conference in Mexico City, 16-18 May 1984
Proceedings of the ACM SIGDOC 84, Third International Conference on Systems Documentation : papers presented at the conference in Mexico City, 16-18 May 1984
Autore Balderas Sergio Figueroa
Pubbl/distr/stampa [Place of publication not identified], : ACM, 1985
Descrizione fisica 1 online resource (113 p.;)
Disciplina 004.2/1
Collana ACM Conferences
Soggetto topico Electronic data processing documentation
Engineering & Applied Sciences
Computer Science
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti SIGDOC '84
Record Nr. UNINA-9910375997403321
Balderas Sergio Figueroa  
[Place of publication not identified], : ACM, 1985
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Provenance and annotation of data and processes : 8th and 9th international provenance and annotation workshop, IPAW 2020 + IPAW 2021, virtual event, July 19-22, 2021, proceedings / / Boris Glavic, Vanessa Braganholo and David Koop (editors)
Provenance and annotation of data and processes : 8th and 9th international provenance and annotation workshop, IPAW 2020 + IPAW 2021, virtual event, July 19-22, 2021, proceedings / / Boris Glavic, Vanessa Braganholo and David Koop (editors)
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (274 pages)
Disciplina 005.74
Collana Lecture Notes in Computer Science
Soggetto topico Database management
Electronic data processing documentation
ISBN 3-030-80960-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Provenance Capture and Representation -- A Delayed Instantiation Approach to Template-Driven Provenance for Electronic Health Record Phenotyping -- 1 Introduction -- 2 The Revised Template Model -- 3 The Capture Service -- 4 The Query Service -- 4.1 Document Views -- 4.2 Query Templates -- 5 Implementation -- 6 Evaluation -- 7 Related Work -- 8 Conclusions and Future Work -- References -- Provenance Supporting Hyperparameter Analysis in Deep Neural Networks -- 1 Introduction -- 2 Related Work -- 2.1 Machine- and Deep Learning-Specific Approaches -- 2.2 Domain-Agnostic Approaches -- 3 DNNProv and Keras-Prov -- 3.1 Provenance Model -- 3.2 Architecture of DNNProv and Keras-Prov -- 3.3 Using DNNProv and Keras-Prov -- 4 Evaluation -- 5 Conclusions -- References -- Evidence Graphs: Supporting Transparent and FAIR Computation, with Defeasible Reasoning on Data, Methods, and Results -- 1 Introduction -- 1.1 Motivation -- 1.2 Related Work -- 2 Methods -- 3 Results -- 4 Discussion -- References -- The PROV-JSONLD Serialization -- 1 Introduction -- 2 Example -- 3 PROV-JSONLD Schema -- 3.1 Preliminary Definitions -- 3.2 Encoding a PROV Expression -- 3.3 Encoding a PROV Document and a PROV Bundle -- 4 PROV-JSONLD Context -- 4.1 Default Context Elements -- 4.2 Contexts for PROV Elements -- 4.3 Contexts for PROV Relations -- 5 Interoperability Considerations -- 6 Implementation and Evaluation -- 7 Conclusion -- References -- Security -- Proactive Provenance Policies for Automatic Cryptographic Data Centric Security -- 1 Introduction -- 2 The ACDC FaaS Paradigm -- 3 ACDC Provenance Model -- 4 A Case Study on Detecting Voter Fraud in E-Voting -- 4.1 ACDC E-Voting Scenario -- 4.2 Voter Fraud Scenarios -- 4.3 Challenges of Voting Provenance -- 5 Related Work -- 6 Conclusion and Future Work -- References.
Provenance-Based Security Audits and Its Application to COVID-19 Contact Tracing Apps -- 1 Introduction -- 2 Development of the ``Corona-Warn-App'' -- 3 Provenance of Repositories -- 3.1 Generating Retrospective Provenance for Git Repositories -- 3.2 Using and Analyzing Provenance-An Example -- 4 Code Audit with Static Analysis -- 5 Provenance-Driven Code Analysis -- 6 Case Study: Corona-Warn-App -- 7 Related Work -- 8 Conclusions and Future Work -- References -- Provenance Types, Inference, Queries and Summarization -- Notebook Archaeology: Inferring Provenance from Computational Notebooks -- 1 Introduction -- 2 Related Work -- 3 Definitions -- 3.1 Provenance -- 4 Data and Statistics -- 4.1 Notebooks -- 4.2 History -- 5 Algorithm -- 5.1 Base Algorithm -- 5.2 Informed Algorithm -- 6 Evaluation -- 7 Discussion -- 8 Conclusion -- References -- Efficient Computation of Provenance for Query Result Exploration -- 1 Introduction -- 2 Preliminaries -- 2.1 Query Language -- 2.2 Provenance Definition -- 2.3 Dependencies -- 3 Optimizing Provenance Queries Without Materialization -- 3.1 Provenence Query Optimization Algorithm -- 4 Optimizing Provenance Queries with Materialization -- 4.1 Determining the Keys to Be Added to the Materialized View -- 5 Evaluation -- 5.1 Usefulness of Our Optimization Rules -- 5.2 Usefulness of Materialization -- 6 Related Work -- 7 Conclusions and Future Work -- References -- Incremental Inference of Provenance Types -- 1 Introduction -- 2 Background and Definitions -- 3 Provenance Types -- 3.1 Library of Types -- 3.2 Creating a Provenance Types Library -- 4 Incremental Inference of Provenance Types -- 4.1 Monotonically Increasing Streams -- 4.2 Non-monotonically Increasing Streams -- 5 Empirical Evaluation -- 6 Related Work -- 7 Conclusions and Future Work -- References -- Reliability and Trustworthiness.
Non-repudiable Provenance for Clinical Decision Support Systems -- 1 Introduction -- 2 Related Work -- 3 A Non-repudiation Policy for Decision Support -- 4 A Provenance-Based Model for Non-repudiable Evidence -- 4.1 Templates for Meta-provenance -- 4.2 A Template for Non-repudiable Evidence -- 5 A Non-repudiation Architecture for Decision Support -- 5.1 Non-repudiable Evidence Generation and Recording Process -- 5.2 Non-repudiable Evidence Verification Process -- 6 Implementation -- 7 Evaluation -- 7.1 Experiments and Results -- 8 Conclusions and Future Work -- References -- A Model and System for Querying Provenance from Data Cleaning Workflows -- 1 Introduction -- 2 Modeling Interactive Data Cleaning Workflows -- 2.1 DCM: A Data Cleaning Model for OpenRefine Provenance -- 2.2 The ORPE Provenance Harvester for OpenRefine -- 2.3 The ORPE Provenance Querying and Reporting Module -- 3 Example Provenance Queries -- 4 Relation to Other Provenance Models and Prior Work -- 5 Conclusions and Future Work -- Appendix A Sample Provenance Query Output -- References -- Joint IPAW/TaPP Poster and Demonstration Session -- ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks -- 1 Introduction -- 2 ReproduceMeGit: An Overview -- 3 Demonstration -- References -- Mapping Trusted Paths to VGI -- 1 Introduction -- 2 Maturity -- 2.1 Linus's Law Maturity -- 2.2 Currency -- 2.3 Life-Cycle Maturity -- 2.4 Volatility -- 2.5 Maintenance Edit Ratio -- 3 Conclusions and Future Work -- References -- Querying Data Preparation Modules Using Data Examples -- 1 Introduction -- 2 Data Model -- 3 Generation of Data Examples -- 4 Querying Modules -- 4.1 Feedback-Based Discovery of Scientific Modules -- 4.2 Incremental Ranking of Candidate Modules -- 5 Conclusions -- References -- Privacy Aspects of Provenance Queries -- 1 Privacy vs. Provenance.
2 Problems Using where, why and how -- 3 Possible Solutions to the Privacy Problem -- References -- ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen And Data-14pt -- 1 Introduction -- 2 Goals of the Standard and Its Structure -- 3 Current Status and Future Development -- References -- Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles*6pt -- 1 Introduction -- 2 The Situation: Characteristics of Machine Learning Experiments and Their Reproducibility -- 3 Towards a Solution: Applying FAIR Data Principles to ML -- 4 Achieving Reproducibility Using ProvBook -- 5 Analysing Reproducibility Using ReproduceMeGit -- References -- ProvViz: An Intuitive Prov Editor and Visualiser -- 1 Introduction -- 2 Background and Related Work -- 3 Demonstration -- 3.1 Loading a PROV Document -- 3.2 Modifying a PROV Document -- 3.3 Visualising a PROV Document -- 3.4 Exporting the PROV Document and Visualisation -- 4 Discussion -- References -- Curating Covid-19 Data in Links -- 1 Introduction -- 2 Links -- 3 Temporal Databases -- 4 Curation Functionality -- 4.1 The Case Study -- 4.2 Provenance-Based Queries -- 4.3 The Prototype Curation Interface -- 5 Conclusion -- References -- Towards a Provenance Management System for Astronomical Observatories -- 1 Context -- 2 Requirements and Current Perception of Provenance -- 2.1 Basic Handling of Provenance -- 2.2 Last-Step Provenance -- 3 A Provenance Management System -- 3.1 Tools, Prototypes and Protocols -- 3.2 Description of the System -- 3.3 Extraction ``On Top'' -- 4 Software and Reproducibility -- References -- Towards Provenance Integration for Field Devices in Industrial IoT Systems -- 1 Introduction -- 2 Provenance and Field Devices -- 2.1 Provenance Metadata -- 2.2 Information System Provenance -- 2.3 Workflow Provenance -- 2.4 Data Provenance.
3 Conclusion and Outlook -- References -- COVID-19 Analytics in Jupyter: Intuitive Provenance Integration Using ProvIt -- 1 Introduction -- 2 ProvIt -- 2.1 Provenance Authoring Webapp -- 2.2 Template Service Clients -- 2.3 Query Templates -- 3 COVID-19 Analytics -- 4 Conclusion -- References -- CPR-A Comprehensible Provenance Record for Verification Workflows in Whole Tale -- 1 Introduction -- 2 The CPR Toolkit -- 3 Demonstration -- 4 Observations -- 5 Conclusion -- References -- Correction to: ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen And Data -- Correction to: Chapter "ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen And Data" in: B. Glavic et al. (Eds.): Provenance and Annotation of Data and Processes, LNCS 12839, https://doi.org/10.1007/978-3-030-80960-7_16 -- Author Index.
Record Nr. UNISA-996464512203316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Provenance and annotation of data and processes : 8th and 9th international provenance and annotation workshop, IPAW 2020 + IPAW 2021, virtual event, July 19-22, 2021, proceedings / / Boris Glavic, Vanessa Braganholo and David Koop (editors)
Provenance and annotation of data and processes : 8th and 9th international provenance and annotation workshop, IPAW 2020 + IPAW 2021, virtual event, July 19-22, 2021, proceedings / / Boris Glavic, Vanessa Braganholo and David Koop (editors)
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (274 pages)
Disciplina 005.74
Collana Lecture Notes in Computer Science
Soggetto topico Database management
Electronic data processing documentation
ISBN 3-030-80960-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Provenance Capture and Representation -- A Delayed Instantiation Approach to Template-Driven Provenance for Electronic Health Record Phenotyping -- 1 Introduction -- 2 The Revised Template Model -- 3 The Capture Service -- 4 The Query Service -- 4.1 Document Views -- 4.2 Query Templates -- 5 Implementation -- 6 Evaluation -- 7 Related Work -- 8 Conclusions and Future Work -- References -- Provenance Supporting Hyperparameter Analysis in Deep Neural Networks -- 1 Introduction -- 2 Related Work -- 2.1 Machine- and Deep Learning-Specific Approaches -- 2.2 Domain-Agnostic Approaches -- 3 DNNProv and Keras-Prov -- 3.1 Provenance Model -- 3.2 Architecture of DNNProv and Keras-Prov -- 3.3 Using DNNProv and Keras-Prov -- 4 Evaluation -- 5 Conclusions -- References -- Evidence Graphs: Supporting Transparent and FAIR Computation, with Defeasible Reasoning on Data, Methods, and Results -- 1 Introduction -- 1.1 Motivation -- 1.2 Related Work -- 2 Methods -- 3 Results -- 4 Discussion -- References -- The PROV-JSONLD Serialization -- 1 Introduction -- 2 Example -- 3 PROV-JSONLD Schema -- 3.1 Preliminary Definitions -- 3.2 Encoding a PROV Expression -- 3.3 Encoding a PROV Document and a PROV Bundle -- 4 PROV-JSONLD Context -- 4.1 Default Context Elements -- 4.2 Contexts for PROV Elements -- 4.3 Contexts for PROV Relations -- 5 Interoperability Considerations -- 6 Implementation and Evaluation -- 7 Conclusion -- References -- Security -- Proactive Provenance Policies for Automatic Cryptographic Data Centric Security -- 1 Introduction -- 2 The ACDC FaaS Paradigm -- 3 ACDC Provenance Model -- 4 A Case Study on Detecting Voter Fraud in E-Voting -- 4.1 ACDC E-Voting Scenario -- 4.2 Voter Fraud Scenarios -- 4.3 Challenges of Voting Provenance -- 5 Related Work -- 6 Conclusion and Future Work -- References.
Provenance-Based Security Audits and Its Application to COVID-19 Contact Tracing Apps -- 1 Introduction -- 2 Development of the ``Corona-Warn-App'' -- 3 Provenance of Repositories -- 3.1 Generating Retrospective Provenance for Git Repositories -- 3.2 Using and Analyzing Provenance-An Example -- 4 Code Audit with Static Analysis -- 5 Provenance-Driven Code Analysis -- 6 Case Study: Corona-Warn-App -- 7 Related Work -- 8 Conclusions and Future Work -- References -- Provenance Types, Inference, Queries and Summarization -- Notebook Archaeology: Inferring Provenance from Computational Notebooks -- 1 Introduction -- 2 Related Work -- 3 Definitions -- 3.1 Provenance -- 4 Data and Statistics -- 4.1 Notebooks -- 4.2 History -- 5 Algorithm -- 5.1 Base Algorithm -- 5.2 Informed Algorithm -- 6 Evaluation -- 7 Discussion -- 8 Conclusion -- References -- Efficient Computation of Provenance for Query Result Exploration -- 1 Introduction -- 2 Preliminaries -- 2.1 Query Language -- 2.2 Provenance Definition -- 2.3 Dependencies -- 3 Optimizing Provenance Queries Without Materialization -- 3.1 Provenence Query Optimization Algorithm -- 4 Optimizing Provenance Queries with Materialization -- 4.1 Determining the Keys to Be Added to the Materialized View -- 5 Evaluation -- 5.1 Usefulness of Our Optimization Rules -- 5.2 Usefulness of Materialization -- 6 Related Work -- 7 Conclusions and Future Work -- References -- Incremental Inference of Provenance Types -- 1 Introduction -- 2 Background and Definitions -- 3 Provenance Types -- 3.1 Library of Types -- 3.2 Creating a Provenance Types Library -- 4 Incremental Inference of Provenance Types -- 4.1 Monotonically Increasing Streams -- 4.2 Non-monotonically Increasing Streams -- 5 Empirical Evaluation -- 6 Related Work -- 7 Conclusions and Future Work -- References -- Reliability and Trustworthiness.
Non-repudiable Provenance for Clinical Decision Support Systems -- 1 Introduction -- 2 Related Work -- 3 A Non-repudiation Policy for Decision Support -- 4 A Provenance-Based Model for Non-repudiable Evidence -- 4.1 Templates for Meta-provenance -- 4.2 A Template for Non-repudiable Evidence -- 5 A Non-repudiation Architecture for Decision Support -- 5.1 Non-repudiable Evidence Generation and Recording Process -- 5.2 Non-repudiable Evidence Verification Process -- 6 Implementation -- 7 Evaluation -- 7.1 Experiments and Results -- 8 Conclusions and Future Work -- References -- A Model and System for Querying Provenance from Data Cleaning Workflows -- 1 Introduction -- 2 Modeling Interactive Data Cleaning Workflows -- 2.1 DCM: A Data Cleaning Model for OpenRefine Provenance -- 2.2 The ORPE Provenance Harvester for OpenRefine -- 2.3 The ORPE Provenance Querying and Reporting Module -- 3 Example Provenance Queries -- 4 Relation to Other Provenance Models and Prior Work -- 5 Conclusions and Future Work -- Appendix A Sample Provenance Query Output -- References -- Joint IPAW/TaPP Poster and Demonstration Session -- ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks -- 1 Introduction -- 2 ReproduceMeGit: An Overview -- 3 Demonstration -- References -- Mapping Trusted Paths to VGI -- 1 Introduction -- 2 Maturity -- 2.1 Linus's Law Maturity -- 2.2 Currency -- 2.3 Life-Cycle Maturity -- 2.4 Volatility -- 2.5 Maintenance Edit Ratio -- 3 Conclusions and Future Work -- References -- Querying Data Preparation Modules Using Data Examples -- 1 Introduction -- 2 Data Model -- 3 Generation of Data Examples -- 4 Querying Modules -- 4.1 Feedback-Based Discovery of Scientific Modules -- 4.2 Incremental Ranking of Candidate Modules -- 5 Conclusions -- References -- Privacy Aspects of Provenance Queries -- 1 Privacy vs. Provenance.
2 Problems Using where, why and how -- 3 Possible Solutions to the Privacy Problem -- References -- ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen And Data-14pt -- 1 Introduction -- 2 Goals of the Standard and Its Structure -- 3 Current Status and Future Development -- References -- Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles*6pt -- 1 Introduction -- 2 The Situation: Characteristics of Machine Learning Experiments and Their Reproducibility -- 3 Towards a Solution: Applying FAIR Data Principles to ML -- 4 Achieving Reproducibility Using ProvBook -- 5 Analysing Reproducibility Using ReproduceMeGit -- References -- ProvViz: An Intuitive Prov Editor and Visualiser -- 1 Introduction -- 2 Background and Related Work -- 3 Demonstration -- 3.1 Loading a PROV Document -- 3.2 Modifying a PROV Document -- 3.3 Visualising a PROV Document -- 3.4 Exporting the PROV Document and Visualisation -- 4 Discussion -- References -- Curating Covid-19 Data in Links -- 1 Introduction -- 2 Links -- 3 Temporal Databases -- 4 Curation Functionality -- 4.1 The Case Study -- 4.2 Provenance-Based Queries -- 4.3 The Prototype Curation Interface -- 5 Conclusion -- References -- Towards a Provenance Management System for Astronomical Observatories -- 1 Context -- 2 Requirements and Current Perception of Provenance -- 2.1 Basic Handling of Provenance -- 2.2 Last-Step Provenance -- 3 A Provenance Management System -- 3.1 Tools, Prototypes and Protocols -- 3.2 Description of the System -- 3.3 Extraction ``On Top'' -- 4 Software and Reproducibility -- References -- Towards Provenance Integration for Field Devices in Industrial IoT Systems -- 1 Introduction -- 2 Provenance and Field Devices -- 2.1 Provenance Metadata -- 2.2 Information System Provenance -- 2.3 Workflow Provenance -- 2.4 Data Provenance.
3 Conclusion and Outlook -- References -- COVID-19 Analytics in Jupyter: Intuitive Provenance Integration Using ProvIt -- 1 Introduction -- 2 ProvIt -- 2.1 Provenance Authoring Webapp -- 2.2 Template Service Clients -- 2.3 Query Templates -- 3 COVID-19 Analytics -- 4 Conclusion -- References -- CPR-A Comprehensible Provenance Record for Verification Workflows in Whole Tale -- 1 Introduction -- 2 The CPR Toolkit -- 3 Demonstration -- 4 Observations -- 5 Conclusion -- References -- Correction to: ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen And Data -- Correction to: Chapter "ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen And Data" in: B. Glavic et al. (Eds.): Provenance and Annotation of Data and Processes, LNCS 12839, https://doi.org/10.1007/978-3-030-80960-7_16 -- Author Index.
Record Nr. UNINA-9910491030303321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
SIGDOC '16 : the 34th ACM International Conference on the Design of Communication : Silver Spring, Maryland, U.S.-September 23-24, 2016 / / sponsors, SIGDOC
SIGDOC '16 : the 34th ACM International Conference on the Design of Communication : Silver Spring, Maryland, U.S.-September 23-24, 2016 / / sponsors, SIGDOC
Pubbl/distr/stampa New York : , : ACM, , 2016
Descrizione fisica 1 online resource (304 pages)
Disciplina 004
Soggetto topico Electronic data processing documentation
Interactive computer systems
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Special Interest Group for Design of Communications 2016 : the 34th Association for Computing Machinery International Conference on the Design of Communication : Silver Spring, Maryland, U.S.-September 23-24, 2016
Proceedings of the 34th ACM International Conference on the Design of Communication
Proceedings of the 34th Association for Computing Machinery International Conference on the Design of Communication
Record Nr. UNINA-9910376447803321
New York : , : ACM, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
SIGDOC '17 : the 35th ACM International Conference on the Design of Communication : Halifax, Nova Scotia, Canada, August 11-13, 2017 / / sponsors, SIGDOC
SIGDOC '17 : the 35th ACM International Conference on the Design of Communication : Halifax, Nova Scotia, Canada, August 11-13, 2017 / / sponsors, SIGDOC
Pubbl/distr/stampa New York : , : ACM, , 2017
Descrizione fisica 1 online resource (286 pages)
Disciplina 004
Soggetto topico Electronic data processing documentation
Interactive computer systems
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Special Interest Group for Design of Communications 2017 : the 35th Association for Computing Machinery International Conference on the Design of Communication : Halifax, Nova Scotia, Canada, August 11-13, 2017
Proceedings of the 35th ACM International Conference on the Design of Communication
Proceedings of the 35th Association for Computing Machinery International Conference on the Design of Communication
Record Nr. UNINA-9910375857103321
New York : , : ACM, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui