Enterprise information systems : 22nd International Conference, ICEIS 2020, virtual event, May 5-7, 2020, revised selected papers / / Joaquim Filipe [and three others] editors

• Pubblicazione: Cham, Switzerland : , : Springer, , [2021]; ©2021
• Descrizione fisica: 1 online resource (942 pages)
• Disciplina: 005.365
• Soggetto topico: Application software; Software engineering; Management information systems
• Persona (resp. second.): FilipeJoaquim
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Databases and Information Systems Integration -- Anonimisation, Impacts and Challenges into Big Data: A Case Studies -- 1 Introduction -- 2 Background -- 2.1 Related Work -- 3 Partial Results -- 3.1 Hypothetical Case 1 -- 3.2 The Hipothetical Case 2 -- 4 Threats and Validation -- 4.1 The Hypothetical Case 1 -- 4.2 The Hypothetical Case 2 -- 4.3 Validation -- 5 Conclusions -- References -- Streaming Set Similarity Joins -- 1 Introduction -- 2 Background -- 2.1 Set Similarity -- 2.2 Optimization Techniques -- 2.3 Temporal Similarity -- 2.4 Problem Statement -- 3 Similarity Join over Set Streams -- 3.1 Baseline Approach -- 3.2 The SSTR Algorithm -- 4 The Partial Token-Frequency Table -- 5 Experiments -- 5.1 Datasets and Setup -- 5.2 Results -- 6 Related Work -- 7 Conclusions and Future Work -- References -- Flexible OPC UA Data Load Optimizations on the Edge of Production -- 1 Introduction -- 2 Problem Statement -- 2.1 High Pressure Die Casting -- 2.2 Usability for Domain Experts -- 3 Related Work -- 3.1 Technical Environment -- 3.2 Data Collection via OPC UA -- 3.3 Visual Programming Environments -- 4 Process Phases Design -- 4.1 Key Elements of Process Phases -- 4.2 Process Phases and Transitions -- 5 Technical Results -- 5.1 Architecture Setup -- 5.2 HPDC Process Phases -- 5.3 Results -- 6 User-Friendly Integration for Domain Experts -- 6.1 The Process Phase Node -- 6.2 The HPDC Flow -- 7 Conclusion and Outlook -- References -- Using Image Mining Techniques from a Business Process Perspective -- 1 Introduction -- 1.1 Motivation -- 1.2 Problem Statements -- 2 Background and Related Work -- 3 Using Image Mining Techniques in the Context of Process Management -- 3.1 Concept -- 3.2 Example -- 3.3 Image Analysis -- 4 Conclusions and Discussion -- References. ; Artificial Intelligence and Decision Support Systems -- A Machine Learning Based Framework for Enterprise Document Classification -- 1 Introduction -- 2 Related Work -- 3 Machine Learning Features Used -- 3.1 Label Extraction -- 3.2 Handling Imbalanced Data -- 3.3 Continuous Training -- 4 Document Classification Framework -- 4.1 Channels -- 4.2 User Defined Rules -- 5 Proof of Concept -- 6 Performance Evaluation -- 7 Conclusions -- References -- Improving Corporate Support by Predicting Customer e-Mail Response Time: Experimental Evaluation and a Practical Use Case -- 1 Introduction -- 1.1 Aims and Objectives -- 1.2 Scope and Limitations -- 2 Related Work -- 3 Data -- 3.1 Feature Extraction -- 4 Method -- 4.1 Experiment Design -- 4.2 Included Learning Algorithms -- 4.3 Class-Balance -- 4.4 Evaluation Metrics -- 5 Results -- 5.1 Experiment 1: Customer Agent Response Prediction -- 5.2 Experiment 2: Customer Response Prediction -- 6 Practical Use Case: An Initial Implementation -- 7 Analysis and Discussion -- 7.1 Enhanced Prioritization of Customer Support E-Mails -- 7.2 e-Mail Forecasting -- 8 Conclusion and Future Work -- References -- A Mixed Approach for Pallet Building Problem with Practical Constraints -- 1 Introduction -- 2 Literature Review -- 3 Problem Description -- 4 Solution Algorithm -- 4.1 Two-Step Heuristic -- 5 Computational Results -- 5.1 Experimental Evaluation -- 6 Conclusions -- References -- A Reference Process and Domain Model for Machine Learning Based Production Fault Analysis -- 1 Introduction -- 2 Domain -- 3 Fundamentals -- 3.1 Quality Management Procedures -- 3.2 Data Analysis Process -- 4 Overall Solution -- 5 To-Be-Process -- 6 Domain Modeling -- 7 Fault Analysis Process with Explainable ML -- 8 Related Work -- 9 Conclusion -- References. ; An Investigation of Problem Instance Difficulty for Case-Based Reasoning and Heuristic Search -- 1 Introduction -- 2 Background and Related Work -- 2.1 CBR in a Nutshell -- 2.2 Similarity Metrics -- 2.3 A* and IDA* -- 2.4 VIATRA2 -- 3 HSI Domain -- 3.1 ECUs and HSIs -- 3.2 Meta-model -- 3.3 Transformation Rules -- 3.4 Goal Condition -- 3.5 Admissible Heuristic Function -- 4 Measuring and Estimating Problem Instance Difficulty -- 4.1 Measuring -- 4.2 Estimating -- 4.3 Hybrids of Measuring and Estimating -- 5 Experiment -- 5.1 Experiment Design -- 5.2 Experimental Results -- 6 Conclusion -- References -- Opti-Soft:Decision Guidance on Software Release Scheduling to Minimize the Cost of Business Processes -- 1 Introduction -- 2 Related Work -- 3 Release Scheduling Approach -- 3.1 Financial Benefit Model: Business Process -- 3.2 Financial Benefit Model: SDLC -- 3.3 Release Scheduling Example -- 3.4 Optimal Release Schedule -- 4 Release Scheduling Formal Optimization Model [1] -- 4.1 Release Scheduling Formalization -- 4.2 Business Service Network Formalization -- 4.3 Service Formalization -- 4.4 ANDservice Formalization -- 4.5 ORservice Formalization -- 4.6 InputDrivenAtomicService Formalization -- 4.7 Software Development Formalization -- 4.8 Optimization Formulation -- 5 Release Scheduling Example -- 6 Decision Guidance System -- 7 Methodology -- 8 Conclusion -- References -- Fast and Efficient Parallel Execution of SARIMA Prediction Model -- 1 Introduction -- 2 Main Concepts Overview -- 2.1 Transformation Functions -- 2.2 ARIMA and SARIMA Mathematical Models -- 2.3 Root-Mean-Square Deviation -- 3 Related Work -- 4 Methodology -- 4.1 Materials -- 4.2 Method -- 4.3 Parallel Processing Proposal -- 5 Results -- 5.1 Proposed Approach -- 5.2 Comparisons Between Approaches -- 5.3 Prediction of Crime Rates in the City of São Paulo. ; 5.4 Proposed Approach Performance -- 6 Conclusion -- References -- An Approach to Intelligent Control Public Transportation System Using a Multi-agent System -- 1 Introduction -- 2 Public Road Traffic Regulation: Issues and Challenges -- 3 Related Works -- 3.1 Mathematical Models -- 3.2 Multi-agent Models -- 3.3 Discussion -- 4 Key Performance Indicators for Traffic Management (KPI) -- 4.1 Performance Measurement: Literature Review -- 4.2 Discussion -- 5 Optimization Resolution -- 5.1 Linear Programming Optimization -- 5.2 Optimization Formulas -- 6 The Regulation System of Public Transport -- 6.1 Regulation Process -- 6.2 Multi-agent Design -- 6.3 Regulation Algorithm -- 7 Experimentation and Result -- 7.1 Description -- 8 Conclusion and Future Works -- References -- Comparative Evaluation of the Supervised Machine Learning Classification Methods and the Concept Drift Detection Methods in the Financial Business Problems -- 1 Introduction -- 2 Background -- 2.1 Classification Methods -- 2.2 Concept Drift Detection Methods -- 3 Related Work -- 4 Evaluation of the Methods with Datasets of the Financial Area -- 5 Prediction Results with Datasets of the Financial Domain -- 6 Evaluations of the Methods with Datasets of Domains Other Than Finance -- 7 Evaluation of Concept Drift on Financial Domains -- 8 Concluding Remarks -- References -- Sammon Mapping-Based Gradient Boosted Trees for Tax Crime Prediction in the City of São Paulo -- 1 Introduction -- 2 Conceptual Foundations -- 2.1 Machine Learning -- 2.2 Dimensionality Reduction -- 2.3 Crimes Against the Tax System -- 2.4 Tax Audit -- 2.5 Tax Compliance Actions -- 3 Literature Review -- 4 Methodology -- 4.1 Data Extraction -- 4.2 Data Preparation -- 4.3 Dimensionality Reduction -- 4.4 Model Training and Testing -- 4.5 Model Evaluation -- 4.6 Model Selection -- 5 Results -- 5.1 PCA-Based Results. ; 5.2 SM-Based Results -- 5.3 Overall Results -- 6 Conclusion -- References -- Extraction of Speech Features and Alignment to Detect Early Dyslexia Evidences -- 1 Introduction -- 2 Related Works -- 3 Medical Approach to Dyslexia Identification -- 4 Computational Methodology -- 4.1 Pre-processing of Audio Files -- 4.2 Direct Characteristics-Syllabic Segmentation -- 4.3 Indirect Characteristics: Alignment and Syllabic Segmentation -- 4.4 Heuristic Analysis -- 4.5 Extraction of Frequencies from the Audio Signal -- 5 Computational Experiments -- 6 Results -- 6.1 Parameter Estimation -- 6.2 Testing Phase -- 6.3 Indirect Characteristics -- 6.4 Alignment Parameter Estimation -- 6.5 Statistical Evaluation -- 7 Conclusion -- References -- Information Systems Analysis and Specification -- An Extended Secondary Study to Characterize the Influence of Developers Sentiments on Practices and Artifacts in Open Source Software Projects -- 1 Introduction -- 2 Open Source Software Projects -- 3 Research Design -- 3.1 Planning -- 3.2 Execution -- 4 Results -- 4.1 Impact of Positive Sentiments on Software Practices -- 4.2 Impacts of Negative Sentiments on Software Practices -- 4.3 Impacts of Positive Sentiments on Software Artifacts -- 4.4 Impacts of Negative Sentiments on Software Artifacts -- 5 Discussion -- 6 Threats to Validity -- 7 Conclusions -- References -- Improving Quality of Use-Case Models by Correlating Defects, Difficulties, and Modeling Strategies -- 1 Introduction -- 2 Requirements Specification -- 2.1 Difficulties in UCM -- 2.2 Rules and Guidelines for UCM Modeling -- 2.3 Quality Attributes in UCM -- 3 Related Work -- 4 Strategies for UCM -- 5 Correlation Between Difficulties and Strategies for UCM -- 6 The Mechanism to Assist UCM Inspection -- 6.1 Applying the Mechanism in a UCM Strategy -- 7 Proposal Evaluation -- 7.1 Experiment Scope. ; 7.2 Experiment Planning.
• Titolo autorizzato: Enterprise Information Systems
• ISBN: 3-030-75418-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484550603321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture notes in business information processing ; ; 417.