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Business Information Systems

22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part I

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Witold Abramowicz

    1. Poznań University of Economics and Business, Poznań, Poland

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    You can also search for this editor in PubMed   Google Scholar

  2. Rafael Corchuelo

    1. ETSI Informática, University of Seville, Seville, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 353)

Included in the following conference series:

Conference proceedings info: BIS 2019.

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Table of contents (42 papers)

  1. Front Matter

    Pages i-xvii
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  2. Big Data and Data Science

    1. Front Matter

      Pages 1-1
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    2. Decision-Support for Selecting Big Data Reference Architectures

      • Matthias Volk, Sascha Bosse, Dennis Bischoff, Klaus Turowski
      Pages 3-17

    3. In-Memory Big Graph: A Future Research Agenda

      • Deepali Jain, Ripon Patgiri, Sabuzima Nayak
      Pages 18-29

    4. Modelling Legal Documents for Their Exploitation as Open Data

      • John Garofalakis, Konstantinos Plessas, Athanasios Plessas, Panoraia Spiliopoulou
      Pages 30-44

    5. Time Series Forecasting by Recommendation: An Empirical Analysis on Amazon Marketplace

      • Álvaro Gómez-Losada, Néstor Duch-Brown
      Pages 45-54Open Access

    6. A Comparative Application of Multi-criteria Decision Making in Ontology Ranking

      • Jean Vincent Fonou-Dombeu
      Pages 55-69

    7. Method of Decision-Making Logic Discovery in the Business Process Textual Data

      • Nina Rizun, Aleksandra Revina, Vera Meister
      Pages 70-84

    8. Prediction of Productivity and Energy Consumption in a Consteel Furnace Using Data-Science Models

      • Panagiotis Sismanis
      Pages 85-99

    9. Understanding Requirements and Benefits of the Usage of Predictive Analytics in Management Accounting: Results of a Qualitative Research Approach

      • Rafi Wadan, Frank Teuteberg
      Pages 100-111

    10. Deriving Corporate Social Responsibility Patterns in the MSCI Data

      • Zina Taran, Boris Mirkin
      Pages 112-121

    11. Profile Inference from Heterogeneous Data

      • Xin Lu, Shengxin Zhu, Qiang Niu, Zhiyi Chen
      Pages 122-136

    12. Triggering Ontology Alignment Revalidation Based on the Degree of Change Significance on the Ontology Concept Level

      • Adrianna Kozierkiewicz, Marcin Pietranik
      Pages 137-148

    13. Challenging SQL-on-Hadoop Performance with Apache Druid

      • José Correia, Carlos Costa, Maribel Yasmina Santos
      Pages 149-161

    14. The Impact of Imbalanced Training Data on Local Matching Learning of Ontologies

      • Amir Laadhar, Faiza Ghozzi, Imen Megdiche, Franck Ravat, Olivier Teste, Faiez Gargouri
      Pages 162-175

    15. A DMN-Based Method for Context-Aware Business Process Modeling Towards Process Variability

      • Rongjia Song, Jan Vanthienen, Weiping Cui, Ying Wang, Lei Huang
      Pages 176-188

    16. The Shift from Financial to Non-financial Measures During Transition into Digital Retail – A Systematic Literature Review

      • Gültekin Cakir, Marija Bezbradica, Markus Helfert
      Pages 189-200

  3. Artificial Intelligence

    1. Front Matter

      Pages 201-201
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    2. A Maturity Model for IT-Related Security Incident Management

      • Gunnar Wahlgren, Stewart Kowalski
      Pages 203-217

    3. A Framework to Monitor Machine Learning Systems Using Concept Drift Detection

      • Xianzhe Zhou, Wally Lo Faro, Xiaoying Zhang, Ravi Santosh Arvapally
      Pages 218-231
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Other volumes

  1. Business Information Systems

  2. Business Information Systems

  3. Business Information Systems Workshops

Keywords

About this book

The two-volume set LNBIP 353 and 354 constitutes the proceedings of the 22nd International Conference on Business Information Systems, BIS 2019, held in Seville, Spain, in June 2019.
The theme of the BIS 2019 was "Data Science for Business Information Systems", inspiring researchers to share theoretical and practical knowledge of the different aspects related to Data Science in enterprises. The 67 papers presented in these proceedings were carefully reviewed and selected from 223 submissions. 

The contributions were organized in topical sections as follows:

Part I: Big Data and Data Science; Artificial Intelligence; ICT Project Management; and Smart Infrastructure.
Part II: Social Media and Web-based Systems; and Applications, Evaluations and Experiences.


Editors and Affiliations

  • Poznań University of Economics and Business, Poznań, Poland

    Witold Abramowicz

  • ETSI Informática, University of Seville, Seville, Spain

    Rafael Corchuelo

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