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Nikolay Nikolov

Forsker

Nikolay Nikolov

Forsker

Nikolay Nikolov
Telefon: +47 938 27 443
Avdeling: Software and Service Innovation
Kontorsted: Oslo

Publikasjoner og ansvarsområder

Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1781693

The enrichment of a dataset with information coming from third-party data sources is a common data preparation task in data sci- ence. Semantic technologies and linked open data can provide valuable support for this task, paving the way for new data-scientist-friendly tools that may facilitate effor...

Forfattere Palmonari Matteo Roman Dumitru Cutrona Vincenzo Nikolov Nikolay Košmerlj Aljaž
År 2019
Type Informasjonsmateriale
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1777782

Digital marketing is a domain where data analytics are a key factor to gaining competitive advantage and return of investment for companies running and monetizing digital marketing campaigns on, e.g., search engines and social media. In this paper, we propose an end-to-end approach to enrich marketi...

Forfattere Cutrona Vincenzo de Paoli Flavio Košmerlj Aljaž Nikolov Nikolay Palmonari Matteo Perales Fernando Roman Dumitru
År 2019
Type Del av bok/rapport
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1777483

Linked Data exploration is an essential task in the process of understanding, assessing, and using datasets made available in the Resource Description Framework (RDF) format. Current solutions for exploration of RDF data are mainly targeted at Semantic Web experts, require non-trivial deployments, a...

Forfattere Vega-Gorgojo Guillermo Slaughter Laura Zernichow Bjørn Marius von Nikolov Nikolay Roman Dumitru
År 2019
Type Tidsskriftspublikasjon
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1777431

Cloud computing offers a flexible pay-as-you-go model for provisioning application resources, which enables applications to scale on-demand based on the current workload. In many cases, though, users face the single vendor lock-in effect, missing opportunities for optimal and adaptive application de...

Forfattere Achilleos Achilleas Kritikos Kyriakos Rossini Alessandro Kapitsaki Georgia Domaschka Jörg Orzechowski Michal Seybold Daniel Griesinger Frank Nikolov Nikolay Romero Daniel Papadopoulos George A.
År 2019
Type Tidsskriftspublikasjon
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1657304

In an increasingly instrumented and inter-connected digital world, citizens generate vast amounts of data, much of it being valuable and a significant part of it being personal. However, controlling who can collect it, limiting what they can do with it, and determining how best to protect it, remain...

Forfattere Flouris Giorgos Patkos Theodore Chrysakis Ioannis Konstantinou Ioulia Nikolov Nikolay Papadakos Panagiotis Pitt Jeremy Roman Dumitru Stan Alexandru Zeginis Chrysostomos
År 2018
Type Tidsskriftspublikasjon
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1574174

One essential and challenging task in data science is data cleaning - the process of identifying and eliminating data anomalies. Different data types, data domains, data acquisition methods, and final purposes of data cleaning have resulted in different approaches in defining data anomalies in the l...

Forfattere Sukhobok Dina Nikolov Nikolay Roman Dumitru
År 2017
Type Del av bok/rapport
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1561603

To achieve the necessary level of accuracy when measuring air pollution for scientific purposes, expensive and complicated instrumentation is required. Consequently, only federal, local governments and some industries, collect data of sufficient quality for research, and only for a small number of A...

Forfattere Roman Dumitru Kobernus Michael John Ødegård Rune Åvar Nikolov Nikolay Sukhobok Dina Zernichow Bjørn Marius von Lech Till Christopher
År 2017
Type Del av bok/rapport
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1558731

Linked data has emerged as an interesting technology for Publishing structured data on the Web but also as a powerful mechanism for integrating disparate data sources. Various tools and approaches have been developed in the semantic Web community to produce and consume linked data, however little at...

Forfattere Roman Dumitru Paniagua Javier Tarasova Tatiana Georgiev Georgi Sukhobok Dina Nikolov Nikolay Lech Till Christopher
År 2017
Type Tidsskriftspublikasjon