Like the previous successful editions, miproBIS 2017 provides an international forum where both researchers and practitioners can share their findings and practical experiences in the field of business intelligence, data warehousing, big data analitics, data mining, semantic data integration, analytics for industry 4.0, social network analysis and similar topics.
- 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)
Accepted papers will be published in the ISBN registered conference proceedings. Presented papers written in English and published in the Conference proceedings will be submitted for posting to IEEE Xplore. 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 software products and respective vendors are welcome.
User Name : shaun
Posted 29-12-2016 on 16:12:21 AEDT