


default search action
22nd BIS 2019: Seville, Spain
- Witold Abramowicz, Rafael Corchuelo:
Business Information Systems - 22nd International Conference, BIS 2019, Seville, Spain, June 26-28, 2019, Proceedings, Part II. Lecture Notes in Business Information Processing 354, Springer 2019, ISBN 978-3-030-20481-5
Social Media and Web-Based Systems
- Hsiao-Wei Hu, Chia-Ning Wu, Yun Tseng:
Trends in CyberTurfing in the Era of Big Data. 3-13 - Hsiao-Wei Hu, Kai-Shyang Hsu
, Connie Lee, Hung-Lin Hu, Cheng-Yen Hsu, Wen-Han Yang, Ling-yun Wang, Ting-An Chen:
Keyword-Driven Depressive Tendency Model for Social Media Posts. 14-22 - Monika Ewa Rakoczy
, Amel Bouzeghoub, Katarzyna Wegrzyn-Wolska
, Alda Lopes Gançarski:
Exploring Interactions in Social Networks for Influence Discovery. 23-37 - Kirsten Liere-Netheler, León Gilhaus, Kristin Vogelsang, Uwe Hoppe:
A Literature Review on Application Areas of Social Media Analytics. 38-49 - Emna Ben Abdallah, Khouloud Boukadi
, Mohamed Hammami
:
Personalized Cloud Service Review Ranking Approach Based on Probabilistic Ontology. 50-61 - Nesrine Hafiene, Wafa Karoui, Lotfi Ben Romdhane:
Influential Nodes Detection in Dynamic Social Networks. 62-73 - Gulsum Akkuzu, Benjamin Aziz
, Mo Adda:
A Fuzzy Modeling Approach for Group Decision Making in Social Networks. 74-85 - Bence Sarkadi-Nagy, Bálint Molnár
:
System Modeling by Representing Information Systems as Hypergraphs. 86-95 - Axel Jacob, Frank Teuteberg
:
Development of a Social Media Maturity Model for Logistics Service Providers. 96-108 - Ralf-Christian Härting, Christopher Reichstein, Andreas Müller:
Potential Benefits of New Online Marketing Approaches. 109-117
Applications, Evaluations and Experiences
- Stefan Tönnissen, Frank Teuteberg
:
Using Blockchain Technology for Cross-Organizational Process Mining - Concept and Case Study. 121-131 - Binrui Shen, Yu Shan, Yunyu Jia, Dejun Xie, Shengxin Zhu
:
Modeling the Cashflow Management of Bike Sharing Industry. 132-146 - Tobias Widmer, Achim Klein, Philipp Wachter, Sebastian Meyl:
Predicting Material Requirements in the Automotive Industry Using Data Mining. 147-161 - Mark Pijnenburg
, Wojtek Kowalczyk
:
Are Similar Cases Treated Similarly? A Comparison Between Process Workers. 162-176 - Dmitriy Botov, Julius Klenin, Andrey Melnikov
, Yuri Dmitrin, Ivan Nikolaev, Mikhail Vinel:
Mining Labor Market Requirements Using Distributional Semantic Models and Deep Learning. 177-190 - Ahmad Pajam Hassan:
Enhancing Supply Chain Risk Management by Applying Machine Learning to Identify Risks. 191-205 - Sara Hernández Sánchez
, Rubén Fernández Pozo
, Luis Alfonso Hernández Gómez
:
Deep Neural Networks for Driver Identification Using Accelerometer Signals from Smartphones. 206-220 - Rogier van de Wetering:
Dynamic Enterprise Architecture Capabilities: Conceptualization and Validation. 221-232 - Meena Jha, Sanjay Jha, Liam O'Brien:
Re-engineering Higher Education Learning and Teaching Business Processes for Big Data Analytics. 233-244 - Siphesihle Sithungu
, Dustin van der Haar:
Real-Time Age Detection Using a Convolutional Neural Network. 245-256 - Daniel Staegemann
, Matthias Volk
, Christian Lucht, Christian Klie, Michael Hintze, Klaus Turowski:
An Inventory-Based Mobile Application for Warehouse Management to Digitize Very Small Enterprises. 257-268 - Madeleine Renyi
, Melanie Rosner, Frank Teuteberg
, Christophe Kunze:
Collaboration in Mixed Homecare - A Study of Care Actors' Acceptance Towards Supportive Groupware. 269-283 - Michael Fellmann
, Fabienne Lambusch
, Anne Waller:
Stress-Sensitive IT-Systems at Work: Insights from an Empirical Investigation. 284-298 - Mouzhi Ge, Stanislav Chren
, Bruno Rossi
, Tomás Pitner
:
Data Quality Management Framework for Smart Grid Systems. 299-310 - Neeraj Bahl, Ajay Bansal:
Balancing Performance Measures in Classification Using Ensemble Learning Methods. 311-324 - Christian Koch
:
Machine Learning for Engineering Processes. 325-336

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.