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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. Nina Rizun, Aleksandra Revina, Vera Meister
      Pages 70-84
    6. Xin Lu, Shengxin Zhu, Qiang Niu, Zhiyi Chen
      Pages 122-136
    7. José Correia, Carlos Costa, Maribel Yasmina Santos
      Pages 149-161
    8. Amir Laadhar, Faiza Ghozzi, Imen Megdiche, Franck Ravat, Olivier Teste, Faiez Gargouri
      Pages 162-175
    9. 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
    4. Zibusiso Bhango, Dustin van der Haar
      Pages 259-270
    5. Michael Richter, Yuki Kyogoku, Max Kölbl
      Pages 271-282
    6. Ünal Aksu, Dennis M. M. Schunselaar, Hajo A. Reijers
      Pages 283-299
    7. Hmida Hmida, Sana Ben Hamida, Amel Borgi, Marta Rukoz
      Pages 300-312
    8. Jose Alejandro Cano, Alexander Alberto Correa-Espinal, Rodrigo Andrés Gómez-Montoya, Pablo Cortés
      Pages 313-322
  4. ICT Project Management

    1. Front Matter
      Pages 323-323
    2. Otmane Azeroual, Gunter Saake, Mohammad Abuosba, Joachim Schöpfel
      Pages 337-349
    3. Adiel Aviad, Krzysztof Węcel
      Pages 361-370
    4. Zornitsa Yordanova, Nikolay Stoimenov, Olga Boyanova, Ivan Ivanchev
      Pages 371-380
    5. Wiem Khlif, Hanêne Ben-Abdallah, Asma Sellami, Mariem Haoues
      Pages 381-396
    6. Maria Kamariotou, Fotis Kitsios
      Pages 397-406
    7. Ioana Ciuciu, Augusta Bianca Ene, Cosmin Lazar
      Pages 407-420
  5. Smart Infrastructure

    1. Front Matter
      Pages 421-421
    2. Alexandros Kostopoulos, Ioannis P. Chochliouros, Maria Rita Spada
      Pages 423-434
    3. Kyriakos Kritikos, Paweł Skrzypek
      Pages 435-449
    4. Hal James Cooper, Garud Iyengar, Ching-Yung Lin
      Pages 450-462
    5. Stanimir Stoyanov, Todorka Glushkova, Asya Stoyanova-Doycheva, Vanya Ivanova
      Pages 463-474
    6. Patricio E. Ramírez-Correa, Elizabeth E. Grandón, Jorge Arenas-Gaitán, F. Javier Rondán-Cataluña, Alejandro Aravena
      Pages 475-486
    7. Rawia Bdiwi, Cyril de Runz, Arab Ali Cherif, Sami Faiz
      Pages 487-499
    8. Aleksandr Kormiltsyn, Chibuzor Udokwu, Kalev Karu, Kondwani Thangalimodzi, Alex Norta
      Pages 500-513
  6. Back Matter
    Pages 539-541

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

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

  • DOI https://doi.org/10.1007/978-3-030-20485-3
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-20484-6
  • Online ISBN 978-3-030-20485-3
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356
  • Buy this book on publisher's site
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