Thomas Lampoltshammer - Böcker
Visar alla böcker från författaren Thomas Lampoltshammer. Handla med fri frakt och snabb leverans.
9 produkter
9 produkter
1 588 kr
Skickas inom 10-15 vardagar
Topics discussed include an introduction to open data, the open data landscape, the open data life cycle, open data policies, organizational issues, interoperability, infrastructure, business models, open data portal evaluation, and research directions, best practices, and guidelines.
Del 11686 - Lecture Notes in Computer Science
Electronic Participation
11th IFIP WG 8.5 International Conference, ePart 2019, San Benedetto Del Tronto, Italy, September 2–4, 2019, Proceedings
Häftad, Engelska, 2019
550 kr
Skickas inom 10-15 vardagar
This book constitutes the proceedings of the 11th IFIP WG 8.5 International Conference on Electronic Participation, ePart 2019, held in San Benedetto del Tronto, Italy, in September 2019, in conjunction with the 18th IFIP WG 8.5 IFIP International Conference on Electronic Government (EGOV 2019) and the International Conference for E-Democracy and Open Government Conference (CeDEM 2019).The 13 revised full papers presented were carefully reviewed and selected from 26 submissions. The papers are clustered under the following topical sections: eParticipation Developments; Digital Transformations; Crisis and Emergency Management; and User Perspectives.
Del 12220 - Lecture Notes in Computer Science
Electronic Participation
12th IFIP WG 8.5 International Conference, ePart 2020, Linköping, Sweden, August 31 – September 2, 2020, Proceedings
Häftad, Engelska, 2020
550 kr
Skickas inom 10-15 vardagar
This book constitutes the proceedings of the 12th IFIP WG 8.5 International Conference on Electronic Participation, ePart 2019, held in Linköping, Sweden, in August/September 2020, in conjunction with the 19th IFIP WG 8.5 IFIP International Conference on Electronic Government (EGOV 2020) and the International Conference for E-Democracy and Open Government Conference (CeDEM 2020). The conference was held virtually due to the COVID-19 pandemic.The 11 full papers presented were carefully reviewed and selected from 33 submissions. The papers are clustered under the following topical sections: eParticipation developments; digital transformation; open government and transparency; and user perspectives.
Del 13392 - Lecture Notes in Computer Science
Electronic Participation
14th IFIP WG 8.5 International Conference, ePart 2022, Linköping, Sweden, September 6–8, 2022, Proceedings
Häftad, Engelska, 2023
639 kr
Skickas inom 10-15 vardagar
This book constitutes the proceedings of the 14th IFIP WG 8.5 International Conference on Electronic Participation, ePart 2022, held in Linköping, Sweden, during September 6–8, 2022, in conjunction with IFIP WG 8.5 Electronic Government (EGOV 2022), and the Conference for E-Democracy and Open Government Conference (CeDEM 2022).The 12 full papers presented were carefully reviewed and selected from 26 submissions. The papers are clustered under the following topical sections: E-democracy and e-participation; ICT & sustainability; digital and social media; legal informatics; and digital society.
Del 14891 - Lecture Notes in Computer Science
Electronic Participation
16th IFIP WG 8.5 International Conference, ePart 2024, Ghent, Belgium, September 3–5, 2024, Proceedings
Häftad, Engelska, 2024
745 kr
Skickas inom 10-15 vardagar
This book constitutes the refereed proceedings of the 16th IFIP WG 8.5 International Conference on Electronic Participation, ePart 2024, held in Ghent, Belgium, during September 3–5, 2024. The 15 full papers included in this book were carefully reviewed and selected from 35 submissions.
1 588 kr
Skickas inom 10-15 vardagar
This book discusses the latest developments in the field of open data. The opening of data by public organizations has the potential to improve the public sector, inspire business innovation, and establish transparency. With this potential comes unique challenges; these developments impact the operation of governments as well as their relationship with private sector enterprises and society. Changes at the technical, organizational, managerial, and political level are taking place, which, in turn, impact policy-making and traditional institutional structures. This book contributes to the systematic analysis and publication of cutting-edge methods, tools, and approaches for more efficient data sharing policies, practices, and further research. Topics discussed include an introduction to open data, the open data landscape, the open data life cycle, open data policies, organizational issues, interoperability, infrastructure, business models, open data portal evaluation, and research directions, best practices, and guidelines. Written to address different perspectives, this book will be of equal interest to students and researchers, ICT industry staff, practitioners, policy makers and public servants.
473 kr
Skickas inom 10-15 vardagar
The iDSC Proceedings reports on state-of-the-art results in Data Science research, development and business. Topics and content of the IDSC2017 proceedings are• Reasoning and Predictive Analytics• Data Analytics in Community Networks• Data Analytics through Sentiment Analysis• User/Customer-centric Data Analytics• Data Analytics in Industrial Application ScenariosAdvances in technology and changes in the business and social environment have led to an increasing flood of data, fueling both the need and the desire to generate value from these assets. The emerging field of Data Science is poised to deliver theoretical and practical solutions to the pressing issues of data-driven applications.The 1st International Data Science Conference (iDSC2017 / http://www.idsc.at) organized by Salzburg University of Applied Sciences in cooperation with Information Professionals GmbH, established a new key Data Science event, by providing a forum for the international exchange of Data Science technologies and applications.
1 025 kr
Skickas inom 10-15 vardagar
This book offers the proceedings of the Second International Data Science Conference (iDSC2019), organized by Salzburg University of Applied Sciences, Austria. The Conference brought together researchers, scientists, and business experts to discuss new ways of embracing agile approaches to various facets of data science, including machine learning and artificial intelligence, data mining, data visualization, and communication. The papers gathered here include case studies of applied techniques, and theoretical papers that push the field into the future. The full-length scientific-track papers on Data Analytics are broadly grouped by category, including Complexity; NLP and Semantics; Modelling; and Comprehensibility.Included among real-world applications of data science are papers onExploring insider trading using hypernetworksData-driven approach to detection of autism spectrum disorderAnonymization and sentiment analysis of Twitter postsTheoretical papers in the book cover such topics as Optimal Regression Tree Models Through Mixed Integer Programming; Chance Influence in Datasets with Large Number of Features; Adversarial Networks — A Technology for Image Augmentation; and Optimal Regression Tree Models Through Mixed Integer Programming.Five shorter student-track papers are also published here, on topics such as State-of-the-art Deep Learning Methods to effect Neural Machine Translation from Natural Language into SQLA Smart Recommendation System to Simplify Projecting for a HMI/SCADA PlatformUse of Adversarial Networks as a Technology for Image AugmentationUsing Supervised Learning to Predict the Reliability of a Welding ProcessThe work collected in this volume of proceedings will provide researchers and practitioners with a detailed snapshot of current progress in the field of data science. Moreover, it willstimulate new study, research, and the development of new applications.
1 085 kr
Skickas inom 10-15 vardagar
Organisationen sind bereits von der starren Struktur des klassischen Projektmanagements zu agilen Ansätzen übergegangen. Dies gilt auch für Softwareentwicklungsprojekte, die flexibel sein müssen, um schnell auf die Wünsche der Kunden reagieren zu können und um Änderungen zu berücksichtigen, die aufgrund von Architekturentscheidungen erforderlich sind. Nachdem sich die Datenwissenschaft als Eckpfeiler in Organisationen und Unternehmen etabliert hat, ist es nun zwingend erforderlich, diesen entscheidenden Schritt auch für analytische Geschäftsprozesse durchzuführen. Die nicht-deterministische Natur der Datenwissenschaft und die ihr innewohnenden analytischen Aufgaben erfordern einen interaktiven Ansatz für eine evolutionäre, schrittweise Entwicklung zur Realisierung der wichtigsten Geschäftsanwendungen und Anwendungsfälle.Die 3. Internationale Konferenz zur Datenwissenschaft (iDSC 2020) brachte Forscher, Wissenschaftler und Wirtschaftsexperten zusammen, um Möglichkeiten zu erörtern, wie neue Wege zur Umsetzung agiler Ansätze in den verschiedenen Bereichen der Datenwissenschaft, wie maschinelles Lernen und KI, Data Mining oder Visualisierung und Kommunikation, sowie Fallstudien und Best Practices von führenden Forschungseinrichtungen und Wirtschaftsunternehmen etabliert werden können.Der Tagungsband umfasst alle im wissenschaftlichen Track vorgestellten Volltexte und die Kurzbeiträge aus dem studentischen Track.Zu den Themen, die Sie interessieren, gehören unter anderem: Künstliche Intelligenz und Maschinelles Lernen Implementierung von Data-Mining-Prozessen Agile Datenwissenschaft und Visualisierung Fallstudien und Anwendungen für Agile DatenwissenschaftOrganizations have moved already from the rigid structure of classical project management towards the adoption of agile approaches. This holds also true for software development projects,which need to be flexible to adopt to rapid requests of clients as well to reflect changes that are required due to architectural design decisions. With data science having established itself as corner stone within organizations and businesses, it is now imperative to perform this crucial step for analytical business processes as well. The non-deterministic nature of data science and its inherent analytical tasks require an interactive approach towards an evolutionary step-by-step development to realize core essential business applications and use-cases.The 3rd International Data Science Conference (iDSC 2020) brougt together researchers, scientists, and business experts to discuss means of establishing new ways of embracing agile approaches within the various domains of data science, such as machine learning and AI, data mining, or visualization and communication as well as case studies and best-practices from leading research institutions and business companies.The proceedings include all full papers presented in the scientific track and the short papers from the student track.Among the topics of interest are:Artificial Intelligence and Machine Learning Implementation of data mining processes Agile Data Science and Visualization Case Studies and Applications for Agile Data Science