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© 2019

Business Information Systems

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

  • Witold Abramowicz
  • Rafael Corchuelo
Conference proceedings BIS 2019

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

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Big Data and Data Science

    1. Front Matter
      Pages 1-1
    2. Matthias Volk, Sascha Bosse, Dennis Bischoff, Klaus Turowski
      Pages 3-17
    3. Deepali Jain, Ripon Patgiri, Sabuzima Nayak
      Pages 18-29
    4. John Garofalakis, Konstantinos Plessas, Athanasios Plessas, Panoraia Spiliopoulou
      Pages 30-44
    5. Álvaro Gómez-Losada, Néstor Duch-Brown
      Pages 45-54 Open Access
    6. Nina Rizun, Aleksandra Revina, Vera Meister
      Pages 70-84
    7. Xin Lu, Shengxin Zhu, Qiang Niu, Zhiyi Chen
      Pages 122-136
    8. José Correia, Carlos Costa, Maribel Yasmina Santos
      Pages 149-161
    9. Amir Laadhar, Faiza Ghozzi, Imen Megdiche, Franck Ravat, Olivier Teste, Faiez Gargouri
      Pages 162-175
    10. Rongjia Song, Jan Vanthienen, Weiping Cui, Ying Wang, Lei Huang
      Pages 176-188
  3. Artificial Intelligence

    1. Front Matter
      Pages 201-201
    2. Gunnar Wahlgren, Stewart Kowalski
      Pages 203-217
    3. Xianzhe Zhou, Wally Lo Faro, Xiaoying Zhang, Ravi Santosh Arvapally
      Pages 218-231

Other volumes

  1. Business Information Systems
    22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part I
  2. 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part II
  3. BIS 2019 International Workshops, Seville, Spain, June 26–28, 2019, Revised Papers

About these proceedings

Introduction

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.

The chapter “Time Series Forecasting by Recommendation: An Empirical Analysis on Amazon Marketplace” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.


Keywords

BPM ERP big data business process management decision support systems data analytics data science enterprise architecture machine learning semantic technologies project management social media smart infrastructures web-based information systems

Editors and affiliations

  1. 1.Poznań University of Economics and BusinessPoznańPoland
  2. 2.ETSI InformáticaUniversity of SevilleSevilleSpain

Bibliographic information