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miproBIS 2024 : Business Intelligence Systems and Big Data Processing

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Conference Series : Business Intelligence Systems
 
Link: http://www.mipro.hr/MIPRO2024.BIS-BDP/ELink.aspx
 
When May 20, 2024 - May 24, 2024
Where Opatija, Croatia
Submission Deadline Jan 29, 2024
Notification Due Mar 11, 2024
Categories    business intelligence   data analytics   data science   data mining
 

Call For Papers

A PDF flyer is available at:
http://www.mipro.hr/LinkClick.aspx?fileticket=mEC5%2fNjdxQE%3d&tabid=110&mid=461&language=en-US&forcedownload=true

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 twenty 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 Processing.

Topics:

The topics of the conference include, but are not limited to:

Data Warehouse and OLAP
Business Intelligence
Big Data Analytics - Algorithms, Techniques, Systems, User Interfaces
Big Data Processing
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 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)
Integration of Digital Twin and Big Data Technology

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