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Data and Information in Online Environments: Third EAI International Conference, DIONE 2022, Virtual Event, July 28-29, 2022, Proceedings de Adilson Luiz Pinto

Data and Information in Online Environments: Third EAI International Conference, DIONE 2022, Virtual Event, July 28-29, 2022, Proceedings: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, cartea 452

Editat de Adilson Luiz Pinto, Ricardo Arencibia-Jorge
en Limba Engleză Paperback – 17 dec 2022
This book constitutes the refereed post-conference proceedings of the Third EAI International Conference on Data and Information in Online Environments, DIONE 2022, held as virtual event, in July 28-29, 2022. Due to COVID-19 pandemic the conference was held virtually.
DIONE 2022 aims to bring together academicians and practitioners willing to discuss topics around the intersection of Computer Science, Information Science, and Communication Science. The attractiveness of the scope and topics has brought relevant research results. This proceeding consists of chapters covering deep learning, data management, software design, social networks, natural language processing, and data processing in various contexts like scholarly publishing, health and medicine, higher education, innovation and research, energy and transportation, and organizations.

The 18 full papers and 2 short papers were carefully reviewed and selected from 56 submissions. The papers are grouped in thematic sessions as follows: Informational challenges for the study of Science, Technology and Society relationships; and Advances in Artificial Intelligence for data processing and analysis in online social environments.

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Specificații

ISBN-13: 9783031223235
ISBN-10: 3031223233
Pagini: 273
Ilustrații: XI, 273 p. 94 illus., 56 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.41 kg
Ediția:1st ed. 2022
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Locul publicării:Cham, Switzerland

Cuprins

Informational challenges for the study of Science, Technology and Society relationships.- The Disinformation Society.- Overview of Citizen Science projects contemplated in the Civis Platform.- National Registry of Scientific Data Management Plans by IBICT.- Collection and Integration of Patent Data for Analysis and Validation of Brazilian Technical Production.- Publications in Scientific Events as a Data Source for Scientometric Analysis.- Publications in Open Access Journals: A Bibliometric Analysis.- Scientific divulgation before the post-truth and the crisis of credibility of science in the context of Digital Humanities.- Workflow with emphasis in technologies for the construction of an aggregator and a dashboard of Brazilian museums digital collections.- Concept Maps as a Support for Learning: A Proposal from the Consent for the Processing of Personal Data in Private Organizations.- Effect of Network Embedding on the Performance of Chinese Venture CapitalInstitutions: Mediatory Role of Organizational Learning.- Advances in Artificial Intelligence for data processing and analysis in online social environments.- Contributions and Limitations about the use of Deep Learning for Skin Diagnosis: A review.- An Expanded Study of the Application of Deep Learning
Models in Energy Consumption Prediction.- Application and evaluation of a taxonomy in the context of software requirements management.- Assessment of Heart Patients Dataset Through Regression and Classification Algorithms.- Classification model based on chatbot and unsupervised algorithms to determine psychological intervention programs in Peruvian university students.- Comparison of Algorithms for Classification of Financial Intelligence Reports.- Natural language processing of messages from a social
network for inflation analysis.- Mining Association Rules in Commuter Feedback Comments from Facebook of Swiss National Railways (SBB) using Apriori Algorithm.- Enhancement of voting scores with multiple attributes based on VoteRank++ to identify influential nodes in social networks.- Identification of the relationships between Data Provenance and Blockchain as a contributing factor for Health Information Systems.