Business information systems : 23rd International Conference, BIS 2020, Colorado Springs, CO, USA, June 8-10, 2020, Proceedings /
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| Meeting name: | International Conference on Business Information Systems (23rd : 2020 : Colorado Springs, Colo.) |
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| Imprint: | Cham, Switzerland : Springer, [2020] |
| Description: | 1 online resource. |
| Language: | English |
| Series: | Lecture Notes in Business Information Processing ; 389 Lecture notes in business information processing ; 389. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12606618 |
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| 111 | 2 | |a International Conference on Business Information Systems |n (23rd : |d 2020 : |c Colorado Springs, Colo.) | |
| 245 | 1 | 0 | |a Business information systems : |b 23rd International Conference, BIS 2020, Colorado Springs, CO, USA, June 8-10, 2020, Proceedings / |c Witold Abramowicz, Gary Klein (eds.). |
| 246 | 3 | |a BIS 2020 | |
| 264 | 1 | |a Cham, Switzerland : |b Springer, |c [2020] | |
| 300 | |a 1 online resource. | ||
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| 490 | 1 | |a Lecture Notes in Business Information Processing ; |v 389 | |
| 500 | |a "Due to the COVID-19 pandemic, the conference was organized fully online this year."--Preface. | ||
| 504 | |a Includes bibliographical references and author index. | ||
| 520 | |a This book constitutes the proceedings of the 23rd International Conference on Business Information Systems, BIS 2020, which was planned to take place in Colorado Springs, CO, USA. Due to the COVID-19 pandemic, the conference was held fully online during June 8-10, 2020. This year's theme was "Data Science and Security in Business Information Systems". The 30 contributions presented in this volume were carefully reviewed and selected from 86 submissions. The book also contains two contributions from BIS 2019. The papers were organized in the following topical sections: Data Security, Big Data and Data Science, Artificial Intelligence, ICT Project Management, Applications, Social Media, Smart Infrastructures. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on August 17, 2020). | ||
| 505 | 0 | |a Intro -- Preface -- Organization -- Contents -- I Data Security -- Legal Requirement Elicitation, Analysis and Specification for a Data Transparency System -- 1 Introduction -- 2 Data Transparency System -- 3 Research Methodology -- 4 Results and Discussion -- 5 Conclusion -- 5.1 Main Contribution -- 5.2 Limitation and Future Work -- References -- The Black Mirror: What Your Mobile Phone Number Reveals About You -- 1 Introduction -- 2 Related Work -- 2.1 Privacy Scoring Models -- 2.2 Social Media and Mobile Phone Privacy -- 3 Methodology -- 3.1 Towards a PSM for Mobile Phone Number Privacy | |
| 505 | 8 | |a 3.2 Sample Number Creation -- 3.3 Using OSINT to Identify Privacy Issues -- 4 Data Analysis and Results -- 5 Discussion -- 5.1 Theoretical Contribution -- 5.2 Practical Contribution -- 6 Conclusion -- References -- I Big Data and Data Science -- REM Sleep Stage Detection of Parkinson's Disease Patients with RBD -- 1 Introduction -- 2 Related Work -- 3 Project PCompanion -- 4 Methods -- 4.1 Sensor Platform -- 4.2 Study -- 4.3 Sleep Stage Classification -- 5 Results -- 6 Conclusion and Future Work -- References -- Towards an Automatized Way for Modeling Big Data System Architectures | |
| 505 | 8 | |a 1 Introduction -- 1.1 Methodology -- 2 Literature Review -- 2.1 Review Protocol -- 2.2 Findings -- 3 A Systematic Modeling Approach for BDSA -- 3.1 Discussion -- 4 Conclusion -- References -- Empowering Domain Experts to Preprocess Massive Distributed Datasets -- 1 Introduction -- 2 Motivating Scenario -- 3 Related Work -- 4 Architecture to Preprocess Massive Datasets -- 4.1 Components -- 4.2 Walkthrough -- 4.3 Discussion -- 5 Evaluation -- 6 Conclusion and Future Work -- References -- Efficient Construction of Behavior Graphs for Uncertain Event Data -- 1 Introduction -- 2 Related Work | |
| 505 | 8 | |a 3 Preliminaries -- 4 Efficient Construction of Behavior Graphs -- 5 Asymptotic Complexity -- 6 Experiments -- 7 Conclusions -- References -- I Artificial Intelligence -- Real-Time Detection of Unusual Customer Behavior in Retail Using LSTM Autoencoders -- 1 Introduction -- 2 Previous Work -- 2.1 Analysis of Customer Behavior -- 2.2 Anomaly Detection in Movement Data -- 2.3 LSTM and Autoencoders for Sequential Anomaly Detection -- 3 Real-Time Anomaly Detection for Retail -- 3.1 Problem Statement -- 3.2 Method of Laxhammar and Falkman -- 3.3 LSTM Autoencoder-based Detection -- 4 Evaluation | |
| 505 | 8 | |a 4.1 Datasets -- 4.2 Quantitative Evaluation -- 4.3 Qualitative Evaluation -- 5 Conclusion and Future Work -- References -- A Novel Multi-agent-based Chatbot Approach to Orchestrate Conversational Assistants -- 1 Introduction -- 2 Related Work and Research Gap -- 2.1 Interactions Between Humans and Multiple Conversational Agents -- 2.2 Agent Collaboration in Multi-agent-based Systems -- 2.3 Research Gap -- 3 Novel Multi-agent-based Chatbot Approach -- 3.1 Basic Idea and Overview -- 3.2 First Step: Learning Chatbot Capabilities -- 3.3 Second Step: Identifying Relevant Chatbots by Classification | |
| 650 | 0 | |a Business |x Data processing |v Congresses. | |
| 650 | 0 | |a Information storage and retrieval systems |v Congresses. | |
| 650 | 7 | |a Business |x Data processing |2 fast |0 (OCoLC)fst00842293 | |
| 650 | 7 | |a Information storage and retrieval systems |2 fast |0 (OCoLC)fst00972781 | |
| 655 | 0 | |a Electronic books. | |
| 655 | 4 | |a Electronic books. | |
| 655 | 7 | |a Conference papers and proceedings |2 fast |0 (OCoLC)fst01423772 | |
| 700 | 1 | |a Abramowicz, Witold, |e editor. |0 http://id.loc.gov/authorities/names/no97039931 | |
| 700 | 1 | |a Klein, Gary, |e editor. | |
| 776 | 0 | 8 | |i Print version: |z 3030533360 |z 9783030533366 |w (OCoLC)1158493991 |
| 830 | 0 | |a Lecture notes in business information processing ; |v 389. |0 http://id.loc.gov/authorities/names/no2007152362 | |
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