Conference on Environmental Data Analysis is part of the main 2024 IEEE 17th International Scientific Conference on Informatics giving room for scientists, experts in computer science and professionals in data analysis. The conference aims to provide complex discussion capability about the current problems and trends in the database systems and data analytics. Over the years, it is evident, that the amount of the data was significantly changed. Almost every system, every device produces data that needs to be processed, evaluated, stored, and analyzed, with an emphasis on quality, reliability, temporality, and spatial determination. Complex decision making is possible only if the particular data are available, mostly produced by the database environment. This conference will be concerned with the environmental data analysis, data warehouses, lakes, marts, transformation between OLTP and OLAP, indexes and process of data processing and retrieval. All these factors strongly impact the usability of the systems and real applicability. Besides, new study materials and textbooks will be presented. This conference will provide a perfect place for the discussions. We are looking forward to proposing the environment under the Informatics conference to provide valuable contributions and discussions.
Topics are included but they are not limited to the following:
- environmental data processing,
- data analytics (+use cases),
- relational databases, architecture enhancements,
- autonomous databases in cloud, cloud computing, data driven applications and systems,
- blockchain,
- SQL tuning,
- data security,
- spatial, temporal and textual databases,
- non-relational approaches, indexing, and transformations,
- reliability of the data,
- databases and ad-hoc networks,
- cloud database environment,
- indexing in multiple database structures,
- data distribution techniques,
- smart city,
- workload management,
- database efficiency,
- database analytics, warehouses, marts,
- optimization in databases,
- complex data driven database applications in education, health-care systems, and transportation,
- usage of complex sensorial networks supervised by the databases in the industry and mobile environment,
- machine learning
EverGreen Project
The project is conceived to strengthen the digital readiness, resilience and capacity of educators and students and build their digital and sustainability competences. This will be done concretely through the creation of a new and innovative course and learning and teaching materials on data analytics & environmental data analytics, and through cross-sectoral transnational cooperation. The project will help overcome the skills mismatch on national and EU level by increasing the number of IT graduates who are trained to analyze data, spot trends, make forecasts, and extract information to help decision-makers make better-informed decisions. Project outputs will be developed in cooperation with the business sector, in particular the IT corporation Oracle and the Municipality of Kranj, which will join as associated partners.
Partners of the project: Žilinská univerzita v Žiline (Slovakia), Veleučilište u Šibeniku (Croatia), Univerza v Mariboru (Slovenia), Univerzita Pardubice (Czech Republic), Inkubator za nove tehnologije Trokut Šibenik d.o.o. (Croatia), Oracle, City of Kranj (Slovenia).
Project website: https://evergreen.fri.uniza.sk/
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