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| | {{Event | | {{Event |
| − | |Submission deadline=2019/03/22 | + | |Acronym=BIS 2019 |
| | + | |Title=The 22nd International Conference on Business Information Systems |
| | + | |Ordinal=22 |
| | + | |In Event Series=Event Series:BIS |
| | + | |Single Day Event=no |
| | + | |Start Date=2019/06/26 |
| | + | |End Date=2019/06/28 |
| | + | |Event Status=as scheduled |
| | + | |Event Mode=on site |
| | + | |Venue=ETSI Informática, University of Seville |
| | + | |City=ES/AN/Seville |
| | + | |Region=ES/AN |
| | + | |Country=Country:ES |
| | + | |Academic Field=Business Information Systems |
| | + | |Official Website=http://bis.ue.poznan.pl/bis2019/ |
| | |Twitter account=https://twitter.com/bis_conf?lang=de | | |Twitter account=https://twitter.com/bis_conf?lang=de |
| − | |Paper deadline=2019/01/07
| |
| − | |Workshop deadline=2018/12/15
| |
| | |Has coordinator=Poznań University of Economics and Business, University of Seville | | |Has coordinator=Poznań University of Economics and Business, University of Seville |
| | |has general chair=Milena Stróżyna, Elżbieta Lewańska, Włodzimierz Lewoniewski, Piotr Kałużny, Barbara Gołębiewska, Inmaculada Hernández, Patricia Jiménez | | |has general chair=Milena Stróżyna, Elżbieta Lewańska, Włodzimierz Lewoniewski, Piotr Kałużny, Barbara Gołębiewska, Inmaculada Hernández, Patricia Jiménez |
| | |has program chair=Rainer Alt, Dimitris Apostolou, Timothy Arndt, Sören Auer, Eduard Babkin | | |has program chair=Rainer Alt, Dimitris Apostolou, Timothy Arndt, Sören Auer, Eduard Babkin |
| − | |has Keynote speaker=Francisco Herrera, Alexander Markowetz, Montserrat López Cobo
| |
| | |Attendance fee currency=€ | | |Attendance fee currency=€ |
| | |On site regular=500 | | |On site regular=500 |
| | |Early bird regular=450 | | |Early bird regular=450 |
| | |has Proceedings DOI=https://doi.org/10.1007/978-3-030-20485-3 | | |has Proceedings DOI=https://doi.org/10.1007/978-3-030-20485-3 |
| − | |Accepted papers=67
| |
| − | |Acronym=BIS 2019
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| − | |City=ES/AN/Seville
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| − | |Country=Country:ES
| |
| | |Type=Conference | | |Type=Conference |
| − | |Homepage=http://bis.ue.poznan.pl/bis2019/
| |
| − | |Ordinal=22
| |
| − | |Region=ES/AN
| |
| − | |Title=The 22nd International Conference on Business Information Systems
| |
| | |pageCreator=User:Curator 75 | | |pageCreator=User:Curator 75 |
| | |pageEditor=User:Curator 73 | | |pageEditor=User:Curator 73 |
| | |contributionType=1 | | |contributionType=1 |
| − | |In Event Series=Event Series:BIS
| |
| − | |Single Day Event=no
| |
| − | |Start Date=2019/06/26
| |
| − | |End Date=2019/06/28
| |
| − | |Academic Field=Business Information Systems
| |
| − | |Event Status=as scheduled
| |
| − | |Event Mode=on site
| |
| | }} | | }} |
| − | The BIS 2019 conference will foster the multidisciplinary discussion about Data Science from both the scientific and practical sides, and its impact on current enterprises. Our goal is to inspire researchers to share theoretical and practical knowledge of the different aspects related to Data Science, and to help them transform their ideas into the innovations of tomorrow.
| + | {{Event Deadline |
| − | | + | |Paper Deadline=2019/01/07 |
| − | ==Topics== | + | |Workshop Deadline=2018/12/15 |
| − | | + | |Submission Deadline=2019/03/22 |
| − | '''Applications'''
| + | }} |
| − | | + | {{Organizer |
| − | *Real-Time Age Detection Using a Convolutional Neural Network
| + | |Contributor Type=organization |
| − | *Deep Neural Networks for driver identification using accelerometer signals from smartphones
| + | |Organization=University of Seville |
| − | *Machine learning for engineering processes
| + | }} |
| − | *An Inventory-based Mobile Application for Warehouse Management to Digitize Very Small Enterprises
| + | {{Organizer |
| − | *Enhancing Supply Chain Risk Management by Applying Machine Learning to Identify Risks
| + | |Contributor Type=organization |
| − | *Predicting Material Requirements in the Automotive Industry using Data Mining
| + | |Organization=Poznań University of Economics and Business |
| − | *Are Similar Cases Treated Similarly? A comparison between process workers
| + | }} |
| − | *Mining Labor Market Requirements Using Distributional Semantic Models and Deep Learning
| + | {{Event Metric |
| − | *Collaboration in Mixed Homecare – A Study of Care Actors Acceptance towards Supportive Groupware
| + | |Number Of Accepted Papers=67 |
| − | *Using Blockchain Technology for Cross-Organizational Process Mining – Concept and Case Study
| + | }} |
| − | *Data Quality Management Framework for Smart Grid Systems
| + | {{S Event}} |
| − | *Balancing Performance Measures in Classification Using Ensemble Learning Methods
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| − | *Dynamic Enterprise Architecture Capabilities: conceptualization and validation
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| − | *Modeling the Cashflow Management of Bike Sharing Industry
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| − | *Potential benefits of New Online Marketing Approaches
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| − | | |
| − | | |
| − | '''Artificial Intelligences'''
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| − | | |
| − | *Genetic Programming over Spark for Higgs Boson Classification
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| − | *Genetic algorithms for the picker routing problem in multi-block warehouses
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| − | *Determining Optimal Multi-layer Perceptron Structure Using Linear Regression
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| − | *A Framework to Monitor Machine Learning Systems Using Concept Drift Detection
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| − | *An Effective Machine Learning Framework for Data Elements Extraction from the Literature of Anxiety Outcome Measures to Build Systematic Review
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| − | *A Maturity Model for IT-related Security Incident Management
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| − | *A Model for Inebriation Recognition in Humans Using Computer Vision
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| − | *Interaction of Information Content and Frequency as predictors of verbs’ lengths
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| − | *Automated Prediction of Relevant Key Performance Indicators for Organizations
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| − | *Audio-visual emotion recognition system for variable length spatio-temporal samples using Deep Transfer-Learning
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| − | | |
| − | | |
| − | '''Big Data and Data Science'''
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| − | | |
| − | *Time series forecasting by recommendation: an empirical analysis on Amazon marketplace
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| − | *Prediction of Productivity and Energy Consumption in a Consteel Furnace Using Data-Science Models
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| − | *Understanding Requirements and Benefits of the Usage of Predictive Analytics in Management Accounting: Results of a Qualitative Research Approach
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| − | *Triggering ontology alignment revalidation based on the degree of change significance on the ontology concept level
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| − | *A Comparative Application of Multi-Criteria Decision Making in Ontology Ranking
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| − | *The Impact of Imbalanced Training Data on Local Matching Learning of Ontologies
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| − | *Deriving Corporate Social Responsibility Patterns in the MSCI Data
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| − | *Profile Inference from Heterogenous Data
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| − | *Method of Decision-Making Logic Discovery in the Business Process Textual Data
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| − | *Decision-Support for Selecting Big Data Reference Architectures
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| − | *In-memory Big Graph: A Future Research Agenda
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| − | Challenging SQL-on-Hadoop Performance with Apache Druid
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| − | *The Shift from Financial to Non-Financial Measures during Transition into Digital Retail – A Systematic Literature Review
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| − | *Modelling Legal Documents For Their Exploitation As Open Data
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| − | *Re-engineering Higher Education Learning and Teaching Business Processes for Big Data Analytics
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| − | | |
| − | | |
| − | '''ICT Project management'''
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| − | | |
| − | *The Long Way from Science to Innovation – a Research Approach for Creating an Innovation Project Methodology
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| − | *Quality of Research Information in RIS Databases: A Multidimensional Approach
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| − | *An ICT Project Case Study from Education: A Technology Review for a Data Engineering Pipeline
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| − | *Subject-Orientation as a Means for Business Information System Design – a Theoretical Analysis and Summary
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| − | *Information Systems Planning and Success in SMEs: Strategizing for IS
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| − | *Modifying consent procedures to collect better data: the case of stress-monitoring wearables in the workplace
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| − | *Cyber Treat Intelligence Modeling
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| − | *A COSMIC-Based Approach for Verifying the Conformity of BPMN, BPEL and Component Models
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| − | *Stress-Sensitive IT-Systems at Work: Insights from an Empirical Investigation
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| − | | |
| − | | |
| − | '''Smart infrastructure'''
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| − | | |
| − | *Business Challenges for Service Provisioning in 5G Networks
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| − | *Safety is the New Black: the increasing Role of Wearables in Occupational Health and Safety in Construction
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| − | *A Reference Architecture Supporting Smart City Applications
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| − | *Blockchain-based Platform for Smart Learning Environments
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| − | *Improving healthcare processes with smart contracts
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| − | *Energy Efficient Cloud Data Center Using Dynamic Virtual Machine Consolidation Algorithm
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| − | *Explaining performance expectancy of IoT in Chilean SMEs
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| − | *Towards an Optimized, Cloud-Agnostic Deployment of Hybrid Applications
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| − | *Deep Influence Diagrams: An Interpretable and Robust Decision Support System
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| − | | |
| − | | |
| − | '''Social Media and Web-based systems'''
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| − | | |
| − | *Keyword-driven Depressive Tendency Model for Social Media Posts
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| − | *Exploring Interactions in Social Networks for Influence Discovery
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| − | *Trends in CyberTurfing in the Era of Big Data
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| − | *System modeling by representing information systems as hypergraphs
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| − | *Influential Nodes Detection in Dynamic Social Networks
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| − | *A Fuzzy Modeling Approach for Group Decision Making in Social Networks
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| − | *A literature review on application areas of social media analytics
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| − | *Personalized cloud service review ranking approach based on probabilistic ontology
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| − | *Development of a Social Media Maturity Model for Logistics Service Providers
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| − | | |
| − | ==Important Dates== | |
| − | | |
| − | *Submission deadline for workshops proposals: Dec 15, 2018
| |
| − | *Submission deadline for conference papers: Jan 7, 2019
| |
| − | *Notification of acceptance/rejection: Mar 8, 2019
| |
| − | *Submission of final papers: Mar 22, 2019
| |
| − | *The conference: Jun 26-28, 2019
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