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Electronic Government and the Information Systems Perspective: 13th International Conference, EGOVIS 2024, Naples, Italy, August 26–28, 2024, Proceedings (Lecture Notes in Computer Science #14913)
by Ismail Khalil A Min Tjoa Gabriele Kotsis Andrea KöThis book constitutes the proceedings of the 13th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2024, which took place in Naples, Italy, in August 2024. The 10 full and 5 short papers included in this book were carefully reviewed and selected from 24 submissions. They were organized in topical sections as follows: AI in E-Government; E-Government cases; mobile government and digital inclusion; open government data and security.
Electronic Government and the Information Systems Perspective: 8th International Conference, EGOVIS 2019, Linz, Austria, August 26–29, 2019, Proceedings (Lecture Notes in Computer Science #11709)
by Enrico Francesconi Andrea Kő Ismail Khalil A Min Tjoa Gabriele Anderst-KotsisThis book constitutes the refereed proceedings of the 8th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2019, held in Linz, Austria, in August 2019. The 17 full papers presented were carefully reviewed and selected from 25 submissions. The papers are organized in the following topical sections: open data and open innovation; data-driven approaches in e-government; e-government cases – data and knowledge management; e-government theoretical background; and digitalization and transparency.
Electronic Government and the Information Systems Perspective: 9th International Conference, EGOVIS 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings (Lecture Notes in Computer Science #12394)
by Enrico Francesconi Andrea Kő Ismail Khalil A Min Tjoa Gabriele KotsisThis book constitutes the refereed proceedings of the 9th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2020, held in Bratislava, Slovakia, in September 2020. The 15 full and one short papers presented were carefully reviewed and selected from 24 submissions. The papers are organized in the following topical sections: Knowledge representation and modeling in e-Government; e-Government theoretical background; E-Government cases - data and knowledge management; identity management and legal issues; artificial intelligence and machine learning in e-Government context.
Industrial Applications of Holonic and Multi-Agent Systems: 9th International Conference, HoloMAS 2019, Linz, Austria, August 26–29, 2019, Proceedings (Lecture Notes in Computer Science #11710)
by Ismail Khalil A Min Tjoa Vladimír Mařík Petr Kadera Alois Zoitl Gabriele Anderst-Kotsis George RzevskiThis book constitutes the refereed proceedings of the 9th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2019, held in Linz, Austria, in August 2019. The 14 full papers presented were carefully reviewed and selected from 15 submissions, and 2 invited papers were also included. The papers are organized in the following topical sections: invited talks; methodologies and framework; agent-based production scheduling and control; data and knowledge; and MAS in various areas.
Information and Communication Technology
by Ismail Khalil Erich Neuhold A Min Tjoa Li Da Xu Ilsun YouThis book constitutes the refereed proceedings of the Third IFIP TC 5/8 International Conference on Information and Communication Technology, ICT-EurAsia 2015, with the collocation of AsiaARES 2015 as a special track on Availability, Reliability and Security, and the 9th IFIP WG 8. 9 Working Conference on Research and Practical Issues of Enterprise Information Systems, CONFENIS 2015, held as part of the 23rd IFIP World Computer Congress, WCC 2015, in Daejeon, Korea, in October 2015. The 35 revised full papers presented were carefully reviewed and selected from 84 submissions. The papers have been organized in the following topical sections: networks and systems architecture; teaching and education; authentication and profiling; data management and information advertizing; applied modeling and simulation; network security; dependable systems and applications, multimedia security; cryptography; big data and text mining, and social impact of EIS and visualization.
Machine Learning and Knowledge Extraction: 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, Virtual Event, August 17–20, 2021, Proceedings (Lecture Notes in Computer Science #12844)
by Andreas Holzinger Edgar Weippl A Min Tjoa Peter KiesebergThis book constitutes the refereed proceedings of the 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, held in virtually in August 2021.The 20 full papers and 2 short papers presented were carefully reviewed and selected from 48 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.
Machine Learning and Knowledge Extraction: 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Vienna, Austria, August 23–26, 2022, Proceedings (Lecture Notes in Computer Science #13480)
by Andreas Holzinger Edgar Weippl A Min Tjoa Peter KiesebergThis book constitutes the refereed proceedings of the 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, held in Vienna, Austria during August 2022.The 23 full papers presented were carefully reviewed and selected from 45 submissions. The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.
Machine Learning and Knowledge Extraction: 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023, Benevento, Italy, August 29 – September 1, 2023, Proceedings (Lecture Notes in Computer Science #14065)
by Andreas Holzinger Edgar Weippl A Min Tjoa Peter Kieseberg Federico Cabitza Andrea CampagnerThis volume LNCS-IFIP constitutes the refereed proceedings of the 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023 in Benevento, Italy, during August 28 – September 1, 2023. The 18 full papers presented together were carefully reviewed and selected from 30 submissions. The conference focuses on integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.
Machine Learning and Knowledge Extraction: Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Hamburg, Germany, August 27–30, 2018, Proceedings (Lecture Notes in Computer Science #11015)
by Andreas Holzinger Edgar Weippl A Min Tjoa Peter KiesebergThis book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018, held in Hamburg, Germany, in September 2018.The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The papers are clustered under the following topical sections: MAKE-Main Track, MAKE-Text, MAKE-Smart Factory, MAKE-Topology, and MAKE Explainable AI.
Machine Learning and Knowledge Extraction: Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26–29, 2019, Proceedings (Lecture Notes in Computer Science #11713)
by Andreas Holzinger Edgar Weippl A Min Tjoa Peter KiesebergThis book constitutes the refereed proceedings of the IFIP TC 5, TC 12, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2019, held in Canterbury, UK, in August 2019.The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.
Research and Practical Issues of Enterprise Information Systems
by A Min Tjoa Li Da Xu Maria Raffai Niina Maarit NovakThis book constitutes the proceedings of the 10th International IFIP WG 8. 9 Working Conference on Research and Practical Issues of Enterprise Information Systems, CONFENIS 2016, held in Vienna, Austria, in December 2016. The conference provided an international forum for the broader IFIP community to discuss the latest research findings in the area of EIS and specifically aimed at facilitating the exchange of ideas and advances on all aspects and developments of EIS. The 25 papers presented in this volume were carefully reviewed and selected from 63 submissions. They were organized in topical sections on: semantic concepts and open data; customer relationship management; security and privacy issues; advanced manufacturing and management aspects; business intelligence and big data; decision support in EIS; and EIS-practices.
Research and Practical Issues of Enterprise Information Systems: 11th IFIP WG 8.9 Working Conference, CONFENIS 2017, Shanghai, China, October 18-20, 2017, Revised Selected Papers (Lecture Notes in Business Information Processing #310)
by A Min Tjoa Li Da Xu Maria Raffai Niina Maarit Novak Li-Rong Zheng Zhuo ZouThis book constitutes the refereed proceedings of the 11th IFIP WG 8.9 Working Conference on Research and Practical Issues of Enterprise Information Systems, CONFENIS 2017, held in Shanghai, China, in October 2017. The 17 full papers presented in this volume were carefully reviewed and selected from 39 submissions. They were organized in topical sections named: EIS concepts, theory and methods; IoT and emerging paradigm; EIS for industry 4.0; big data analytics; and intelligent electronics and systems for industrial IoT.
Research and Practical Issues of Enterprise Information Systems: 12th IFIP WG 8.9 Working Conference, CONFENIS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Poznan, Poland, September 18–19, 2018, Proceedings (Lecture Notes in Business Information Processing #327)
by A Min Tjoa Maria Raffai Niina Maarit Novak Petr DoucekThis book constitutes the refereed proceedings of the 12th IFIP WG 8.9 Working Conference on Research and Practical Issues of Enterprise Information Systems, CONFENIS 2018, held as part of the World Computer Congress, WCC 2018, in Poznan, Poland, in September 2018. The 12 full papers presented in this volume were carefully reviewed and selected from 28 submissions. They were organized in topical sections named: EIS management and case studies; data management and applications for EIS; collaborative and social interaction; and data access, security, and privacy.
Research and Practical Issues of Enterprise Information Systems: 13th IFIP WG 8.9 International Conference, CONFENIS 2019, Prague, Czech Republic, December 16–17, 2019, Proceedings (Lecture Notes in Business Information Processing #375)
by A Min Tjoa Maria Raffai Petr Doucek Josef Basl Antonin Pavlicek Katrin DetterThis book constitutes the refereed proceedings of the 13th IFIP WG 8.9 Working Conference on Research and Practical Issues of Enterprise Information Systems, CONFENIS 2019, held in Prague, Czech Republic, in December 2019. The 11 full and 2 short papers included in this volume were carefully reviewed and selected from 43 submissions. They were organized in topical sections named: EIS and industry; technical architecture and applications for EIS; collaborative networks and project management; and security and privacy issues.
Transactions on Large-Scale Data- and Knowledge-Centered Systems L (Lecture Notes in Computer Science #12930)
by Abdelkader Hameurlain A Min TjoaThe LNCS journal Transactions on Large-Scale Data and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.This, the 50th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains five fully revised selected regular papers. Topics covered include data anonymization, quasi-identifier discovery methods, symbolic time series representation, detection of anomalies in time series, data quality management in biobanks, and the use of multi-agent technology in the design of intelligent systems for maritime transport.
Transactions on Large-Scale Data- and Knowledge-Centered Systems LI: Special Issue on Data Management - Principles, Technologies and Applications (Lecture Notes in Computer Science #13410)
by Abdelkader Hameurlain A Min Tjoa Esther Pacitti Zoltan MiklosThe LNCS journal Transactions on Large-Scale Data and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.This, the 51st issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains five fully revised selected regular papers. Topics covered include data anonyomaly detection, schema generation, optimizing data coverage, and digital preservation with synthetic DNA.
Transactions on Large-Scale Data- and Knowledge-Centered Systems LII (Lecture Notes in Computer Science #13470)
by Abdelkader Hameurlain A Min TjoaThe LNCS journal Transactions on Large-Scale Data and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.This, the 52nd issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains 6 fully revised selected regular papers.
Transactions on Large-Scale Data- and Knowledge-Centered Systems LIII (Lecture Notes in Computer Science #13840)
by Abdelkader Hameurlain A Min TjoaThe LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g. computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 53rd issue of Transactions on Large-scale Data and Knowledge-centered Systems, contains six fully revised selected regular papers. Topics covered include time series management from edge to cloud, segmentation for time series representation, similarity research, semantic similarity in a taxonomy, linked data semantic distance, linguistics-informed natural language processing, graph neural network, protected features, imbalanced data, causal consistency in distributed databases, actor model, and elastic horizontal scalability.
Transactions on Large-Scale Data- and Knowledge-Centered Systems LIV: Special Issue on Data Management - Principles, Technologies, and Applications (Lecture Notes in Computer Science #14160)
by Abdelkader Hameurlain A Min Tjoa Farouk Toumani Omar BoucelmaThe LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 54th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains three fully revised and extended papers and two additional extended keynotes selected from the 38th conference on Data Management - Principles, Technologies and Applications, BDA 2022. The topics cover a wide range of timely data management research topics on temporal graph management, tensor-based data mining, time-series prediction, healthcare analytics over knowledge graphs, and explanation of database query answers.
Transactions on Large-Scale Data- and Knowledge-Centered Systems LV (Lecture Notes in Computer Science #14280)
by Abdelkader Hameurlain A Min TjoaThe LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.This, the 55th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains five fully revised regular papers covering a wide range of very hot topics in the fields of data driven science life science, workflows, weak signals, online social networks, root cause analysis, detected anomalies, analysis of interplanetary file systems, concept weighting in knowledge graphs, and neural networks.
Transactions on Large-Scale Data- and Knowledge-Centered Systems LVI: Special Issue on Data Management - Principles, Technologies, and Applications (Lecture Notes in Computer Science #14790)
by Abdelkader Hameurlain Angela Bonifati A Min Tjoa Reza AkbariniaThe LNCS journal Transactions on Large-scale Data and Knowledge-centered Systemsfocuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the maindriving force behind application development in all domains. An increase in the demand forresource sharing across different sites connected through networks has led to an evolution ofdata- and knowledge-management systems from centralized systems to decentralized systemsenabling large-scale distributed applications providing high scalability. This, the 56th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems,contains five fully revised and extended papers selected from the 39th conference on DataManagement - Principles, Technologies and Applications, BDA 2023. The topics cover awide range of timely data management research topics on adaptive learning, personal datamanagement systems, topic discovery in large corpora, spatio-temporal query processing, anddata generation.
Transactions on Large-Scale Data- and Knowledge-Centered Systems LVII (Lecture Notes in Computer Science #14970)
by Abdelkader Hameurlain A Min TjoaThe LNCS journal Transactions on Large-scale Data and Knowledge-centered Systemsfocuses on data management, knowledge discovery, and knowledge processing, which arecore and hot topics in computer science. Since the 1990s, the Internet has become the maindriving force behind application development in all domains. An increase in the demand forresource sharing (e.g. computing resources, services, metadata, data sources) across differentsites connected through networks has led to an evolution of data- and knowledge-managementsystems from centralized systems to decentralized systems enabling large-scale distributedapplications providing high scalability. This, the 57th issue of Transactions on Large-scale Data and Knowledge-centered Systems,contains five fully revised selected regular papers. Topics covered include leveraging machinelearning for effective data management, access control models, reciprocal authorizations,Internet of Things, digital forensics, code similarity search, volunteered geographicinformation, and spatial data quality.
Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII (Lecture Notes in Computer Science #12130)
by Abdelkader Hameurlain A Min TjoaThe LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.This, the 43rd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include classification tasks, machine learning algorithms, top-k queries, business process redesign and a knowledge capitalization framework.
Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV: Special Issue on Data Management – Principles, Technologies, and Applications (Lecture Notes in Computer Science #12380)
by Abdelkader Hameurlain A Min Tjoa Philippe Lamarre Karine ZeitouniThe LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 44th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six fully revised and extended papers selected from the 35th conference on Data Management – Principles, Technologies and Applications, BDA 2019. The topics covered include big data, graph data streams, workflow execution in the cloud, privacy in crowdsourcing, secure distributed computing, machine learning, and data mining for recommendation systems.
Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIX: Special Issue on Data Management – Principles, Technologies and Applications (Lecture Notes in Computer Science #12920)
by Abdelkader Hameurlain A Min Tjoa Bernd Amann François GoasdouéThe LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.This, the 49th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four fully revised and extended papers selected from the 36th conference on Data Management - Principles, Technologies and Applications, BDA 2020. The topics cover a wide range of timely data management research topics on crowdsourcing, data streams, skyline queries and data protection.