10745nam 22004813 450 991087805900332120240728090244.03-031-64748-3(MiAaPQ)EBC31569700(Au-PeEL)EBL31569700(CKB)33428347600041(EXLCZ)993342834760004120240728d2024 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierEnterprise Information Systems 25th International Conference, ICEIS 2023, Prague, Czech Republic, April 24-26, 2023, Revised Selected Papers, Part I1st ed.Cham :Springer International Publishing AG,2024.©2024.1 online resource (380 pages)Lecture Notes in Business Information Processing Series ;v.5183-031-64747-5 Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Databases and Information Systems Integration -- A Preliminary Analysis of the Adoption of Intelligent Information Systems in Colombia -- 1 Introduction -- 2 Literature Review -- 2.1 Planning -- 2.2 Realization -- 2.3 Synthesis and Analysis -- 3 Adoption of Intelligent EIS in Colombia -- 3.1 Focus Group -- 3.2 Synthesis -- 4 Discussion -- 5 Conclusions -- References -- Staged Vector Stream Similarity Search Methods -- 1 Introduction -- 2 Background and Related Work -- 2.1 Neural Network Architectures -- 2.2 Vector Indexing Methods, Libraries, and Search Engines -- 2.3 Online Vector Similarity Search -- 3 SVS - The Family of Staged Vector Stream Similarity Search Methods -- 4 Implementations of the Ingestion Operation -- 4.1 Implementations Based on IVFADC -- 4.2 Implementations Based on HNSW -- 5 Experiments -- 5.1 Experiments with Product Quantization -- 5.2 Experiments with HNSW -- 6 A Classified Ad Retrieval Tool -- 7 Conclusions -- References -- BigQA: A Software Reference Architecture for Big Data Question Answering Systems -- 1 Introduction -- 2 Related Work -- 2.1 Research Proposals -- 2.2 Proprietary Technologies -- 3 Design Principles -- 4 BigQA Architecture -- 4.1 Input Layer -- 4.2 Big Data Storage Layer -- 4.3 Big Querying Layer -- 4.4 Communication Layer -- 4.5 Security Layer -- 4.6 Insights Layer -- 4.7 Architecture Discussion -- 5 Guidelines and Pipelines -- 5.1 Guidelines for Architecture Implementation -- 5.2 Pipelines for Architecture Instantiation -- 6 Case Study: Pharmaceutical Company -- 6.1 Architecture Instantiation -- 6.2 Real-World Queries -- 6.3 Case Study Discussion -- 7 Document Retriever Experiments -- 7.1 Experiment Setup -- 7.2 Experiment Results -- 8 Conclusion -- References.Navigating Remote Work: Challenges and Adaptations of Agile Teams Amidst Covid-19 -- 1 Introduction -- 2 Related Works -- 2.1 Agile Teams -- 2.2 Software Development and Pandemic and Post Pandemic -- 3 Study Settings -- 3.1 Survey Design -- 3.2 Focus Group Design -- 4 Survey Results -- 4.1 RQ.1.What is the Perception of Agile Teams Related to Productivity, Interaction, Collaboration, and Communication During Working from Home Scenario? -- 4.2 RQ.2. What Are the Tools Used by Agile Teams During Working from Home? -- 4.3 RQ.3. What Are the Challenges Faced by Agile Teams During Working from Home and How Were They Solved or Mitigated? -- 5 Focus Group Results -- 5.1 RQ.4. What Are the Challenges Faced by Agile Teams No Working from Home, Face-to-Face or Hybrid After the Covid-19 Pandemic? -- 6 Threats to Validity -- 7 Conclusions and Future Work -- References -- Artificial Intelligence and Decision Support Systems -- Advancing Particle Size Detection in Mineral Processing: Exploring Edge AI Solutions -- 1 Introduction -- 1.1 Theoretical Background -- 1.2 Artificial Intelligence (AI) -- 1.3 Edge AI -- 1.4 Mask R-CNN -- 2 Related Works -- 2.1 Mask R-CNN Applied to Materials Science and Mining -- 2.2 Deep Learning Applied to Object Segmentation in Materials Science and Mining -- 2.3 Section Remarks -- 3 Experimental Methodology -- 3.1 Dataset -- 3.2 Hyperparameters -- 3.3 Evaluation Metrics -- 4 Results -- 4.1 Experiment 1 - Feeder Screen -- 4.2 Experiment 2 - Conveyor Belt -- 5 Conclusions and Future Work -- References -- Unifying Economic and Language Models for Enhanced Sentiment Analysis of the Oil Market -- 1 Introduction -- 2 Related Work -- 2.1 Market Efficiency and the Role of Sentiment Analysis -- 2.2 Evolution of Sentiment Analysis in Finance -- 2.3 The Advent of the Attention Mechanism and Transformers.2.4 Language Models for for Sentiment Analysis -- 2.5 The Emergence of Large Language Models -- 3 Methodology -- 3.1 Datasets and Data Sources -- 3.2 Sentiment Classifiers -- 3.3 Data Preprocessing and Normalization -- 4 Evaluation -- 4.1 Interplay of Supply and Demand -- 4.2 Preliminary Analysis -- 4.3 Integration of Language Models with Economic Principles -- 4.4 Evaluation of Fine-Tuning and Prompt Optimization Results -- 4.5 Evaluation of Fine-Tuning and Prompt Optimization Results -- 5 Outlook and Conclusion -- A Appendix -- A.1 Unlabeled Test Dataset -- A.2 Labeled Training Dataset -- A.3 Simulation Prompts -- A.4 Comparative Results of the Preliminary Evaluation -- References -- A Hate Speech Detection Approach Using Transfer Learning with Multiple Idioms -- 1 Introduction -- 2 Experiment Setup -- 2.1 Corpora Used for Hate Speech Detection -- 2.2 Pre-trained Language Models Choice -- 2.3 Hyperparameters -- 2.4 CLL Strategy -- 2.5 Evaluation Metrics -- 3 Results -- 3.1 Baseline Experiment -- 3.2 ZST Strategy Results -- 3.3 JL Strategy Results -- 3.4 CL Strategy Results -- 3.5 JL/CL Strategy Results -- 3.6 JL/CL+ Strategy Results -- 4 Related Work -- 5 Final Remarks -- 6 Future Work -- References -- Analysis of Fuzzy Techniques in Edge Detection -- 1 Introduction -- 2 Methodology -- 2.1 Systematic Literature Review -- 2.2 Definition of Criteria, Search in the Indexing Bases and Obtaining Primary Research -- 2.3 Bibliometric Analysis -- 3 Results and Discussion -- 3.1 State of the Art in Edge Detection (RQG) -- 3.2 Fuzzy Logic-Based Edge Detection Methods (RQF) -- 4 Conclusion -- References -- Studying Patterns of Behavior Profiles in Companies: A Machine Learning Approach for Classifying Archetypes in Texts -- 1 Introduction -- 2 Theoretical Background -- 2.1 People Analytics -- 2.2 Behavior Study -- 2.3 Text Representation.2.4 Text Classification -- 2.5 Topic Modeling -- 2.6 Explainability -- 3 Related Works -- 3.1 Text on Behavior Classification -- 4 Methodology -- 4.1 PACE -- 4.2 Dataset -- 4.3 Features -- 4.4 Topic Modeling -- 5 Approaches and Experiments -- 5.1 Topic Modeling -- 5.2 Multi-class Classification -- 5.3 Binary Classification -- 5.4 Binary Regression -- 6 Explainability Application -- 7 Social Impact -- 7.1 People Privacy -- 7.2 Technological Replacement -- 8 Conclusion -- References -- Expanding the Capacities of a CNN-Based Ant Counting and Density Estimation Application -- 1 Introduction -- 2 Theoretical References -- 3 Related Works -- 4 Methodology -- 4.1 Solution Overview -- 4.2 Dot Map Generation -- 4.3 Data Augmentation -- 4.4 AI Model Training and Counting System -- 4.5 Evaluation Metrics -- 5 Experimental Results -- 5.1 Results After Data Augmentation -- 6 Conclusions -- References -- Supporting Interpretability in Predictive Process Monitoring Using Process Maps -- 1 Introduction -- 2 Background -- 2.1 Process Mining and Predictive Process Monitoring -- 2.2 Interpretable Predictive Models -- 3 Visual Interpretability for PPM -- 4 Experimental Study -- 4.1 Business Process and Event Log -- 4.2 Preprocessing Procedures -- 4.3 Experiment Setup -- 4.4 Results and Discussion -- 5 Related Work -- 6 Conclusion -- References -- Hybrid Fuzzy Genetic Method to Evolve PID Analog Circuits -- 1 Introduction -- 2 Evolution of Analog Electronic Circuits -- 3 PID Industrial Controllers -- 4 Hybrid Fuzzy Genetic Method -- 4.1 Multi-Objective Optimization Using Fuzzy Aggregation Strategy -- 5 Case Studies -- 5.1 Experimental Stup -- 5.2 First Case Study - Second-Order Plant -- 5.3 Second Case Study: Third-Order Plant -- 5.4 Third Case Study -- 5.5 Fourth Case Study: Time-Delayed Plant -- 5.6 Fifth Case Study: DC Motor -- 6 Conclusions -- References.A Novel Approach to Predict Moisture Content on Wood Using AI -- 1 Introduction -- 2 Theoretical Foundation -- 2.1 Machine Learning and Classification -- 2.2 Dealing with Class Imbalance -- 2.3 Classification Algorithms -- 3 Methodology -- 3.1 The Dataset -- 3.2 Data Structure -- 3.3 Preprocessing the Data -- 3.4 Data Mining -- 4 Results -- 4.1 Empirical Evaluation of the Models -- 4.2 Statistical Analysis -- 4.3 Best Model -- 4.4 Analysis of Failure Cases -- 5 Conclusion -- References -- Connecting Domain Experts and Data: Enriching User-Centric Data Analysis with Neural Network-Aided Data Source Suggestion -- 1 Motivation -- 2 Related Work -- 3 Requirements -- 4 SDRank - Semantic Ranking of Data Sources -- 5 Evaluation -- 5.1 Datasets -- 5.2 Training -- 5.3 Results -- 5.4 Discussion -- 6 Requirements Validation -- 7 Summary and Conclusion -- References -- Forecasting Electricity Price During Extreme Events Using a Hybrid Model of LSTM and ARIMA Architecture -- 1 Introduction -- 1.1 Research Objective -- 2 Background Research -- 2.1 Establishing Conceptual Framework -- 2.2 Extreme Event Categorization -- 2.3 State-of-the-Art Forecasting Models -- 3 Methodologies of Evaluation -- 4 Discussion -- 4.1 Early Development Stage -- 4.2 Current Phase -- 4.3 Remaining Work -- 5 Conclusion -- References -- Information Systems Analysis and Specification -- Analysis of Safety and Cybersecurity Management Systems Interaction in Decision-Making Including Correlation for Automated Driving Systems -- 1 Introduction -- 2 Literature Review -- 2.1 Automated Driving Systems -- 2.2 SMS, CSMS and Their Interaction -- 2.3 DEMATEL Techniques -- 2.4 Correlation Analysis -- 3 Approach and Concept -- 3.1 Survey Approach and Management Factor Identification -- 3.2 Proposed Concept for Correlation Analysis -- 3.3 Spearman Correlation Method.3.4 Management Factors Interaction Clustering.Lecture Notes in Business Information Processing SeriesFilipe Joaquim1372771Śmiałek Michał1063327Brodsky Alexander1380499Hammoudi Slimane846214MiAaPQMiAaPQMiAaPQBOOK9910878059003321Enterprise Information Systems3421932UNINA