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Titlebook: Data and Information in Online Environments; Third EAI Internatio Adilson Luiz Pinto,Ricardo Arencibia-Jorge Conference proceedings 2022 IC

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發(fā)表于 2025-3-21 19:26:32 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data and Information in Online Environments
副標(biāo)題Third EAI Internatio
編輯Adilson Luiz Pinto,Ricardo Arencibia-Jorge
視頻videohttp://file.papertrans.cn/264/263249/263249.mp4
叢書名稱Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
圖書封面Titlebook: Data and Information in Online Environments; Third EAI Internatio Adilson Luiz Pinto,Ricardo Arencibia-Jorge Conference proceedings 2022 IC
描述.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..
出版日期Conference proceedings 2022
關(guān)鍵詞artificial intelligence; computer networks; computer science; computer systems; curricula; data handling;
版次1
doihttps://doi.org/10.1007/978-3-031-22324-2
isbn_softcover978-3-031-22323-5
isbn_ebook978-3-031-22324-2Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2022
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Disinformation as a Social Phenomenonion to false news, real news are manipulated and oriented to polarize, requiring an adaptation of society in the construction of a new cognitive muscle. And social networks cannot counteract the global highways of disinformation that cross countries, continents and languages.
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Assessment of Heart Patients Dataset Through Regression and Classification Algorithmsum creatinine, serum sodium, anemia, platelets, creatinine phosphokinase, blood pressure, diabetes and smoking were considered as potential contributors to mortality. All characteristics were analyzed in order to identify the minimum set of information necessary for a quick and efficient diagnosis of heart failure.
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1867-8211 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 Communica
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Lecture Notes in Computer Sciencel results show that structural and relationship embedding remarkably improve investment performance. Heterogeneous knowledge learning plays a mediatory role between structural embedding and investment performance, as well as between relational embedding and investment performance.
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Conference proceedings 2022ts, 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 Scien
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An Expanded Study of the Application of Deep Learning Models in Energy Consumption Predictiononality representation technique selection, appropriate choice of model for database (deep or shallow) and its calibration, it’s possible to archive better results with an acceptable computational cost. In the conclusion, suggestions for the continuity of the study are presented.
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