Boris Vrdoljak (Croatia), Mirta Baranović (Croatia), Matteo Golfarelli (Italy), Mihaela Vranić (Croatia)
Marko Banek (Croatia), Mirta Baranović (Croatia), Bartosz Bebel (Poland), Ladjel Bellatreche (France), Ljiljana Brkić (Croatia), Alfredo Cuzzocrea (Italy), Todd Eavis (Canada), Enrico Gallinucci (Italy), Dragan Gamberger (Croatia), Paolo Garza (Italy), Matteo Golfarelli (Italy), Igor Mekterović (Croatia), Damir Pintar (Croatia), Rok Rupnik (Slovenia), Zoran Skočir (Croatia), A. Min Tjoa (Austria), Mladen Varga (Croatia), Mihaela Vranić (Croatia), Boris Vrdoljak (Croatia)
The term Business intelligence (BI) refers to applications and technologies used to gather, provide access to, and analyze data and information about company operations in order to help them to have a more comprehensive knowledge of the factors affecting their business. BI systems usually lean on data warehouses (DWs) to guarantee an easy and quick access to information. More than ten years of research in the data warehousing field paved the way for new applications that goes beyond traditional OLAP analysis and concern real-time, spatiotemporal as well as distributed data. Furthermore, BI research is now dealing with the integration of BI with Corporate Performance Management (CPM), Business Process Management (BPM), Social Business Intelligence, Semantic Web, and Big Data.
Like the previous successful editions, miproBIS 2019 provides an international forum where both researchers and practitioners can share their findings and practical experiences in the field of BI. In particular, besides submissions in traditional DW and OLAP topics, we encourage papers concerning emerging research topics and applications in the DW, OLAP and BI area.
The scope of the conference includes, but is not limited to:
- Data Warehouse and OLAP
- Business Intelligence
- Big Data Analytics - Algorithms, Techniques, Systems, User Interfaces
- Big Data Analytics Applications in Science, Healthcare, Telecommunication, e-Business, etc.
- Data Science – Methods for Analyzing Scientific Data
- Data Mining
- Predictive and Descriptive Analytics and its Application in Science, Education, Healthcare, Telecommunications, Energy Providing, etc.
- Analytics for the Cloud Infrastructure
- Social Network Analysis (SNA)
- CRM (Customer Relationship Management) and Social CRM
- Analytics for Data Streams and Sensor Data
- Edge Analytics
- Analytics for Industry 4.0
- Analytics for Temporal, Spatial, Spatio-temporal and Mobile Data
- Text, Web and Sentiment Analysis
- Semantic Web and Semantic Data Integration
- Education Management Information Systems
- Business Information Systems
- ERP and Supply Chain Management
- Business Systems Integration
- Business Process Management (BPM)
The authors of the Best Paper will be invited to send an extended version of their paper to the Editor-in-Chief of the Automatika Journal, where it may be published after an additional review.
As an addition to the conference, presentations of BI products and respective vendors are welcome.
Official languages are English and Croatian.
Abstract submission deadline: Monday, January 28, 2019
Full paper submission deadline: Monday, February 25, 2019
Final paper review deadline: Monday, March 11, 2019
Registration / Fees:
REGISTRATION / FEES
Price in EUR
Up to 6 May 2019
From 7 May 2019
|Members of MIPRO and IEEE
|Students (undergraduate and graduate), primary and secondary school teachers
The discount doesn't apply to PhD students.
University of Zagreb
Faculty of Electrical Engineering and Computing
HR-10000 Zagreb, Croatia
Phone: +385 1 6129 532
Fax: +385 1 6129 915
The best papers will get a special award.
Accepted papers will be published in the ISSN registered conference proceedings. Presented papers in English will be submitted for inclusion in the IEEE Xplore Digital Library.
There is a possibility that the selected scientific papers with some further modification and refinement are being published in the Journal of Computing and Information Technology (CIT).
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