IntelliSys: Intelligent System for Road Safety
This is an Invited Lecture delivered at the Big Data Analytics Summer School 2020 by Dr. Debasis Das, Indian Institutes of Technology(IIT) Jodhpur.
Chronorobotics - Spatio-temporal models for social and service robots
This is a Lecture delivered at Big the Data Analytics Summer School 2020 by Dr. Tomas Krajnik, Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague.
Soft computing for Transparent synthesis of Geo Big Data
This is a Keynote Lecture delivered at the Big Data Analytics Summer School 2020 by Dr Gloria Bordogna, Italian National Research Council IREA
Semantic information infrastructures from business information delivery to water management
This is a Keynote Lecture delivered at the Big Data Analytics Summer School 2020 by Dr. Mariana Damova, Mozajka.
Apache Kafka
Apache Kafka is a distributed messaging system that uses the publish-subscribe mechanism. It was developed to support continuous and resilient messaging with high throughput at LinkedIn. Kafka is a fast, scalable, durable, and fault-tolerant system. It maintains feeds of messages in categories called topics. These topics are used to store messages from the producers and deliver them to the consumers who have subscribed to that topic.
Big Data Analytics Summer School, Belgrade, Serbia, June 2020
Organizing Committee
- Valentina Janev, Institute Mihajlo Pupin, Serbia
- Damien Graux, Fraunhofer IAIS, Germany
- Hajira Jabeen, University of Bonn, Germany
- Emanuel Sallinger, University of Oxford, UK
About the School
One of the objectives of the LAMBDA project is organization of a Big Data Analytics Summer School in Belgrade in 2019 and 2020.
Data for AI: Foresight
This is a Lecture delivered at the Big Data Analytics Summer School 2020 by Dr. Simon Scerri, Fraunhofer IAIS.
Predictive Analytics in Renewable Energy Systems
With the aim of improving ecological interest, the share of renewable energy sources (RES) in energy production has to be increased. Nonetheless, that growth adversely influences the grid’s instability, as a result of the dependency between the RES production and weather conditions.
