Browsing by Author "Nadal Francesch, Sergi"
Now showing items 1-20 of 39
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A data quality framework for graph-based virtual data integration systems
(Springer, 2022)
Conference report
Open AccessData Quality (DQ) plays a critical role in data integration. Up to now, DQ has mostly been addressed from a single database perspective. Popular DQ frameworks rely on Integrity Constraints (IC) to enforce valid application ... -
A situational approach for the definition and tailoring of a data-driven software evolution method
(Springer, 2018)
Conference report
Open AccessSuccessful software evolution heavily depends on the selection of the right features to be included in the next release. Such selection is difficult, and companies often report bad experiences about user acceptance. To ... -
A software reference architecture for semantic-aware big data systems
(2016-06-13)
Article
Open AccessContext: Big Data systems are a class of software systems that ingest, store, process and serve massive amounts of heterogeneous data, from multiple sources. Despite their undisputed impact in current society, their ... -
Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review
(Frontiers Media SA, 2022-11-15)
Article
Open AccessMalaria is an infectious disease caused by parasites of the genus Plasmodium spp. It is transmitted to humans by the bite of an infected female Anopheles mosquito. It is the most common disease in resource-poor settings, ... -
An approach for alert raising in real-time data warehouses
(2015)
Conference report
Open AccessThis work proposes an approach for alert raising within a real-time data warehouse environment. It is based on the calculation of confidence intervals for measures from historical facts. As new facts arrive to the data ... -
An integration-oriented ontology to govern evolution in big data ecosystems
(2019-01)
Article
Open AccessBig Data architectures allow to flexibly store and process heterogeneous data, from multiple sources, in their original format. The structure of those data, commonly supplied by means of REST APIs, is continuously evolving. ... -
An integration-oriented ontology to govern evolution in big data ecosystems
(CEUR-WS.org, 2017)
Conference lecture
Open AccessBig Data architectures allow to flexibly store and process heterogeneous data, from multiple sources, in its original format. The structure of those data, commonly supplied by means of REST APIs, is continuously evolving, ... -
Automated database design for document stores with multicriteria optimization
(Springer, 2023-03-11)
Article
Open AccessDocument stores have gained popularity among NoSQL systems mainly due to the semi-structured data storage structure and the enhanced query capabilities. The database design in document stores expands beyond the first normal ... -
Big data management challenges in SUPERSEDE
(CEUR-WS.org, 2017)
Conference report
Open AccessThe H2020 SUPERSEDE (www.supersede.eu) project aims to support decision-making in the evolution and adaptation of software services and applications by exploiting end-user feedback and runtime data, with the overall goal ... -
D3M: automated data-driven decision making
(CEUR-WS.org, 2022)
Conference report
Open AccessData has an undoubtedly impact on society. Storing, processing and analyzing large amounts of available data is currently one of the key success factors for an organization. Nonetheless, we are recently witnessing a change ... -
Development of an automated artificial intelligence-based system for urogenital schistosomiasis diagnosis using digital image analysis techniques and a robotized microscope
(2024-11-01)
Article
Open AccessUrogenital schistosomiasis, categorized as a Neglected Tropical Disease (NTD) by the World Health Organization (WHO), affects approximately 150 million individuals globally, predominantly in resource-limited regions of ... -
Discovery of semantic non-syntactic joins
(CEUR-WS.org, 2024)
Conference lecture
Open AccessData discovery is an essential step in the data integration pipeline involving finding datasets whose combined information provides relevant insights. Discovering joinable attributes requires assessing the closeness of the ... -
DocDesign 2.0: Automated database design for document stores with multi-criteria optimization
(OpenProceedings, 2021)
Conference lecture
Open AccessWe present DocDesign 2.0, a novel system that supports database design for document stores. DocDesign 2.0 automatically generates a document store design driven by a query workload and a set of optimization objectives. In ... -
Effective and scalable data discovery with NextiaJD
(OpenProceedings, 2021)
Conference lecture
Open AccessWe present NextiaJD, a data discovery system with high predictive performance and computational efficiency. NextiaJD aids data scientists in the discovery of datasets that can be crossed. To that end, it proposes a ranking ... -
FAME: supporting continuous requirements elicitation by combining user feedback and monitoring
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Open AccessContext: Software evolution ensures that software systems in use stay up to date and provide value for end-users. However, it is challenging for requirements engineers to continuously elicit needs for systems used by ... -
Generating valid test data through data cloning
(Elsevier, 2023-07)
Article
Open AccessOne of the most difficult, time-consuming and error-prone tasks during software testing is that of manually generating the data required to properly run the test. This is even harder when we need to generate data of a ... -
Graph-driven federated data management
(2023-01-01)
Article
Open AccessModern data analysis applications, require the ability to provide on-demand integration of data sources while offering a flexible and user-friendly query interface. Traditional techniques for answering queries using views, ... -
Graph-driven federated data management (extended abstract)
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessModern data analysis applications require the ability to provide on-demand integration of data sources while offering a user-friendly query interface. Traditional methods for answering queries using views, focused on a ... -
Hyppo: using equivalences to optimize pipelines in exploratory machine learning
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessWe present HYPPO, a novel system to optimize pipelines encountered in exploratory machine learning. HYPPO exploits alternative computational paths of artifacts from past executions to derive better execution plans while ... -
iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope
(Frontiers Media SA, 2023-11-24)
Article
Open AccessMalaria is one of the most prevalent infectious diseases in sub-Saharan Africa, with 247 million cases reported worldwide in 2021 according to the World Health Organization. Optical microscopy remains the gold standard ...
