Εργαστήριο Επιστήμης Δεδομένων & Ιστού Ερευνητικά Εργαστήρια
Σχολή: Θετικών Επιστημών - Τμήμα: Πληροφορικής
Τομέας: Τομέας Τεχνολογιών Γνώσης, Δεδομένων και Ιστού
Διευθυντής: Αθηνά Βακάλη (Αναπληρώτρια Διευθύντρια)
ΦΕΚ Ίδρυσης: Τεύχος Β’ 397/13.02.2017
- Email: firstname.lastname@example.org
Data and Web Science Lab is an active research group engaged in research and innovation on ICT complex data science and engineering technologies, offering end-to-end multi way and multi scope analytics.
Data and Web Science Lab can offer end-to-end solutions from raw data to insightful results and from low-level data management to advanced algorithms and applications. It fosters strong international collaborations with multi-disciplinary synergies (engineering, psychology, social sciences, arts, cultural studies, etc) providing data protection and EU GDPR consultancy and technical support. Our group consists of vibrant researchers and developers that encourage entrepreneurship and innovation, providing project management and coordination of research projects and novel ideas for extensive and advanced software and web development. We also support research and technology transfer to industry through multiple bilateral industry collaborations.
Datalab has strong expertise in the following research topics:
- Data mining and analytics for big data
- Information Retrieval and Core Data Management
- Design and Development of ICT platforms
- Massively Parallel Systems
- Strong Theoretical Background
- Decentralized applications
Private cluster for big data analytics
Datalab can offer top-quality consulting, research and development services for data science projects. We possess know-how regarding end-to-end massive data management and analytics from setting private cloud infrastructures and optimization of elastic NoSQL databases, to MapReduce/Spark/generic dataflow programs and advanced algorithms for analytics, such as mining of complex patterns in evolving data, personalized recommendations and anomaly detection.
Datalab has strong expertise in transferring research results into industry/practice.