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  <titleInfo>
    <title>Enterprise Information Systems</title>
    <subTitle>25th International Conference, ICEIS 2023, Prague, Czech Republic, April 24–26, 2023, Revised Selected Papers, Part I</subTitle>
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    <namePart>Filipe, Joaquim.</namePart>
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    <namePart>Śmiałek, Michał.</namePart>
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    <namePart>Brodsky, Alexander.</namePart>
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    <namePart>Hammoudi, Slimane.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
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    <extent>XVIII, 368 p. 120 illus., 98 illus. in color. online resource.</extent>
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  <abstract>This two-volume set constitutes the refereed post-conference proceedings of the 25th International Conference on Enterprise Information Systems, ICEIS 2023, which was held in Prague, Czech Republic, during April 2023. The 41 full papers and 66 short papers presented were carefully reviewed and selected from 213 submissions. They are organized in topical sections as follows: Part One : Databases and Information Systems Integration; Artificial Intelligence and Decision Support Systems; and Information Systems Analysis and Specification. Part Two : Software Agents and Internet Computing; Human-Computer Interaction; and Enterprise Architecture.</abstract>
  <tableOfContents> -- Databases and Information Systems Integration.  -- A Preliminary Analysis of the Adoption of Intelligent Information Systems in Colombia.  -- Staged Vector Stream Similarity Search Methods.  -- BigQA: A Software Reference Architecture for Big Data Question Answering Systems.  -- Navigating Remote Work: Challenges and Adaptations of Agile Teams Amidst Covid-19.  -- Artiﬁcial Intelligence and Decision Support Systems.  -- Advancing Particle Size Detection in Mineral Processing: Exploring Edge AI Solutions.  -- Unifying Economic and Language Models for Enhanced Sentiment Analysis of the Oil Market.  -- A Hate Speech Detection Approach Using Transfer Learning with Multiple Idioms.  -- Analysis of Fuzzy Techniques in Edge Detection.  -- Studying Patterns of Behavior Proﬁles in Companies: A Machine Learning Approach for Classifying Archetypes in Texts.  -- Expanding the Capacities of a CNN-Based Ant Counting and Density Estimation Application.  -- Supporting Interpretability in Predictive Process Monitoring Using Process Maps.  -- Hybrid Fuzzy Genetic Method to Evolve PID Analog Circuits.  -- A Novel Approach to Predict Moisture Content on Wood Using AI.  -- Connecting Domain Experts and Data: Enriching User-Centric Data Analysis with Neural Network-Aided Data Source Suggestion.  -- Forecasting Electricity Price During Extreme Events Using a Hybrid Model of LSTM and ARIMA Architecture.  -- Information Systems Analysis and Speciﬁcation.  -- Analysis of Safety and Cybersecurity Management Systems Interaction in Decision Making Including Correlation for Automated Driving Systems.  -- Are Architecture Design Decisions in Distributed Teams Supported by Tools?.</tableOfContents>
  <note type="statement of responsibility">edited by Joaquim Filipe, Michał Śmiałek, Alexander Brodsky, Slimane Hammoudi.</note>
  <subject authority="lcsh">
    <topic>Information technology</topic>
    <topic>Management</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
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  <subject authority="lcsh">
    <topic>Business information services</topic>
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  <subject authority="lcsh">
    <topic>Computer science</topic>
    <topic>Mathematics</topic>
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  <subject authority="lcsh">
    <topic>Mathematical statistics</topic>
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  <subject authority="lcsh">
    <topic>Operating systems (Computers)</topic>
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  <subject>
    <topic>Computer Application in Administrative Data Processing</topic>
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  <subject>
    <topic>Artificial Intelligence</topic>
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  <subject>
    <topic>Enterprise Architecture</topic>
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  <subject>
    <topic>Probability and Statistics in Computer Science</topic>
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  <subject>
    <topic>Operating Systems</topic>
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      <title>Lecture Notes in Business Information Processing, 518</title>
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  <identifier type="isbn">9783031647482</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-64748-2</identifier>
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