LEADER 10004nam 2200529 450 001 9910635394403321 005 20231110231852.0 010 $a3-031-22324-1 035 $a(MiAaPQ)EBC7158303 035 $a(Au-PeEL)EBL7158303 035 $a(CKB)25732545300041 035 $a(EXLCZ)9925732545300041 100 $a20230418d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aData and information in online environments $ethird EAI international conference, DIONE 2022, virtual event, July 28-29, 2022, proceedings /$fedited by Adilson Luiz Pinto and Ricardo Arencibia-Jorge 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$d©2023 215 $a1 online resource (282 pages) 225 1 $aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ;$vv.452 311 08$aPrint version: Pinto, Adilson Luiz Data and Information in Online Environments Cham : Springer,c2023 9783031223235 320 $aIncludes bibliographical references and index. 327 $aIntro -- Preface -- Organization -- Contents -- Informational Challenges for the Study of Science, Technology and Society Relationships -- Disinformation as a Social Phenomenon -- 1 Introduction -- 2 How is Information Selected? -- 3 Methodology -- 4 Results -- 5 Discussion -- 6 Conclusions -- References -- Overview of Citizen Science Projects Contemplated in the Civis Platform -- 1 Introduction -- 2 Citizen Science -- 2.1 Models of Citizen Participation -- 3 Methodology -- 4 Results -- 5 Discussion -- 6 Preliminary Conclusions -- References -- National Registry of Scientific Data Management Plans by IBICT -- 1 Introduction -- 2 Methodological Procedures -- 3 FAIR Data Management Plan -- 4 Results and Discussions -- 5 Final Considerations -- References -- Collection and Integration of Patent Data for Analysis and Validation of Brazilian Technical Production -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Acquisition -- 4 Results -- 5 Final Considerations -- References -- Publications in Scientific Events as a Data Source for Scientometric Analysis -- 1 Introduction -- 2 Development -- 3 Results -- 3.1 General Characterization -- 3.2 Temporal Analysis -- 3.3 Articles in Annals of Events by Large Area -- 3.4 Persistent Identifiers -- 3.5 Analysis by Countries -- 4 Final Considerations -- References -- Publications in Open Access Journals: A Bibliometric Analysis -- 1 Introduction -- 2 Methodology -- 3 Analysis and Results -- 4 Conclusions -- References -- Scientific Divulgation Before the Post-truth and the Crisis of Credibility of Science in the Context of Digital Humanities -- 1 Introduction -- 2 Methodology -- 3 Digital Humanities and the Scientific Environment -- 4 Scientific Divulgation and Scientific Communication: Necessary Distinctions -- 5 The Post-truth Phenomenon and the Crises of Science Credibility: The Problem. 327 $a6 Results -- 7 Final Considerations -- References -- Workflow with Emphasis in Technologies for the Construction of an Aggregator and a Dashboard of Brazilian Museums Digital Collections -- 1 Introduction -- 2 Methodology -- 3 Technologies Workflow or the Construction of an Aggregator and a Dashboard -- 3.1 Tainacan: Mapping Origin Museums -- 3.2 Beats - Filebeat: Automated Collection of Items from Museums -- 3.3 Logstash: Aggregation of Collections and Data Transformation -- 3.4 Ruby Plugin in Logstash: Item Submission in Tainacan -- 3.5 Elasticsearch: Data Storage -- 3.6 Kibana: Dashboard -- 3.7 Tainacan: Final Repository -- 4 Discussions -- 5 Conclusions -- References -- Concept Maps as a Support for Learning: -- 1 Introduction -- 2 Concept Maps -- 3 General Law for Personal Data Protection -- 4 Methodology -- 5 Results and Discussion: Representative Concept Map of Data Life Cycle According to LGPD Rules -- 6 Conclusions -- References -- Effect of Network Embedding on the Performance of Chinese Venture Capital Institutions: Mediatory Role of Organizational Learning -- 1 Introduction -- 2 Theory and Research Hypothesis -- 2.1 Relationship of Network Embedding and Investment Performance -- 2.2 Mediatory Role of Organizational Learning -- 3 Research Design -- 3.1 Data Sample Matching -- 3.2 Mediating Effect Test Model and Steps -- 3.3 Variable Measure -- 4 Descriptive Statistics and Correlation Analysis -- 5 Regression Results -- 6 Conclusion and Enlightenment -- References -- 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 -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results and Discussion -- 5 Final Considerations -- References. 327 $aAn Expanded Study of the Application of Deep Learning Models in Energy Consumption Prediction -- 1 Introduction -- 2 Related Works -- 3 Problem and Motivation -- 4 Proposed Model -- 4.1 Database -- 4.2 Load Seasonality -- 4.3 Consumption Prediction from Time Series -- 5 Implementation and Results -- 5.1 Variable Selection and Model Entry -- 5.2 Comparison of the Models Results -- 6 Conclusion -- References -- Application and Evaluation of a Taxonomy in the Context of Software Requirements Management -- 1 Introduction -- 2 Background -- 2.1 Requirements Engineering and the Activity of Software Requirements Management -- 2.2 Taxonomies in the Context of Information Management -- 2.3 Related Works -- 3 Research Stages -- 4 Analysis of Taxonomies' Objectives in Relation to the Objectives of Requirements Management Activities -- 5 Application and Assessment of Taxonomies in the Context of Software Requirements Management -- 5.1 Taxonomy Application -- 5.2 Taxonomy Assessment -- 5.3 Analysis of Application Results and Assessment of the Taxonomy in the Context of Requirements Management -- 6 Conclusions -- References -- Assessment of Heart Patients Dataset Through Regression and Classification Algorithms -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Pre-processing -- 3.2 Regression Algorithms -- 3.3 Classification Algorithms -- 4 Exploratory Data Analysis -- 4.1 Dataset -- 4.2 Exploratory Analysis -- 5 Results and Discussion -- 5.1 Evaluating Algorithms with Other Resources -- 5.2 Conclusion -- 6 Future Work -- References -- Classification Model Based on Chatbot and Unsupervised Algorithms to Determine Psychological Intervention Programs in Peruvian University Students -- 1 Introduction -- 2 Materials and Methods -- 2.1 Unit of Analysis -- 2.2 Chatbot Construction and Data Extraction -- 2.3 Data Processing -- 3 Results. 327 $a3.1 Chatbot Construction and Data Extraction -- 3.2 Data Processing -- 4 Conclusions -- References -- Comparison of Algorithms for Classification of Financial Intelligence Reports -- 1 Introduction -- 1.1 Financial Intelligence Report (FIR) -- 2 Background -- 2.1 Artificial Intelligence and Machine Learning -- 2.2 Decision Tree Algorithm -- 2.3 Random Forest Algorithm -- 2.4 K-Nearest Neighbors (KNN) Algorithm -- 3 Methodology -- 4 Development -- 4.1 Data Collection -- 4.2 Learning Table Pre-processing -- 4.3 Learning -- 4.4 Application -- 5 Results -- 6 Final Considerations -- References -- Natural Language Processing of Messages from a Social Network for Inflation Analysis -- 1 Introduction -- 2 Related Research -- 3 Method -- 3.1 Data Acquisition -- 3.2 Natural Language Processing -- 3.3 Network Analysis -- 4 Results Analysis -- 5 Final Remarks -- References -- Mining Association Rules in Commuter Feedback Comments from Facebook of Swiss National Railways (SBB) Using Apriori Algorithm -- 1 Introduction -- 2 Data Selection -- 3 Pre-processing -- 4 Data Transformation -- 5 Data Mining -- 5.1 Building Frequent Item Sets -- 5.2 Building Association Rules -- 6 Results (Association Rules) -- 6.1 Overall Impression and Corona -- 6.2 Overall Impression and Ticket -- 6.3 Overall Impression, Reliability, Time -- 7 Knowledge Interpretation -- 7.1 Reliability -- 7.2 Covid-19 -- 7.3 Train Ticket -- 7.4 SBB APP -- 7.5 Timetable -- 8 Conclusion and Future Work -- References -- Enhancement of Voting Scores with Multiple Attributes Based on VoteRank++ to Identify Influential Nodes in Social Networks -- 1 Introduction -- 2 Backgrounds -- 2.1 Centrality Measures -- 2.2 Performances Metrics -- 3 Proposed Algorithm -- 4 Experimental Results -- 5 Conclusions and Future Work -- References. 327 $aIdentification of the Relationships Between Data Provenance and Blockchain as a Contributing Factor for Health Information Systems -- 1 Introduction -- 2 Literature Review -- 2.1 Health Information Systems -- 2.2 Data Provenance -- 2.3 Blockchain -- 3 Methodology -- 4 Analysis -- 4.1 Identification of Relations Between the Main Applications of Data Provenance and Blockchain Features -- 4.2 Some of the Studies Which Verify the Relations Between Data Provenance and Blockchain Applied in HIS -- 5 Conclusions and Future Work -- References -- Author Index. 410 0$aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 606 $aComputer science$vCongresses 606 $aInformation science$xTechnological innovations 606 $aComputer science 615 0$aComputer science 615 0$aInformation science$xTechnological innovations. 615 0$aComputer science. 676 $a004 702 $aArencibia-Jorge$b Ricardo 702 $aPinto$b Adilson Luiz 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910635394403321 996 $aData and Information in Online Environments$92998074 997 $aUNINA