Feature selection using chaotic salp swarm algorithm for data classification
Salp swarm algorithm (SSA) is a recently created bio-inspired optimization algorithm
presented in 2017 which is based on the swarming mechanism of salps. Despite high …
presented in 2017 which is based on the swarming mechanism of salps. Despite high …
GDPR compliant information confidentiality preservation in big data processing
Nowadays, new laws and regulations, such as the European General Data Protection
Regulation (GDPR), require companies to define privacy policies complying with the …
Regulation (GDPR), require companies to define privacy policies complying with the …
Mining relaxed functional dependencies from data
Relaxed functional dependencies (rfd s) are properties expressing important relationships
among data. Thanks to the introduction of approximations in data comparison and/or validity …
among data. Thanks to the introduction of approximations in data comparison and/or validity …
Fake account identification in social networks
Nowadays, the human influence often depends on the number of followers that an individual
has in his/her own social media context. To this end, the presence of fake accounts is one of …
has in his/her own social media context. To this end, the presence of fake accounts is one of …
Incremental discovery of imprecise functional dependencies
Functional dependencies (fds) are one of the metadata used to assess data quality and to
perform data cleaning operations. However, to pursue robustness with respect to data …
perform data cleaning operations. However, to pursue robustness with respect to data …
Association Rule Mining through Combining Hybrid Water Wave Optimization Algorithm with Levy Flight
Q He, J Tu, Z Ye, M Wang, Y Cao, X Zhou, W Bai - Mathematics, 2023 - mdpi.com
Association rule mining (ARM) is one of the most important tasks in data mining. In recent
years, swarm intelligence algorithms have been effectively applied to ARM, and the main …
years, swarm intelligence algorithms have been effectively applied to ARM, and the main …
[PDF][PDF] Incremental Discovery of Functional Dependencies with a Bit-vector Algorithm.
Functional dependencies (fds) were conceived in the early'70s, and were mainly used to
verify database design and assess data quality. Nowadays they are automatically …
verify database design and assess data quality. Nowadays they are automatically …
Dataprism: Exposing disconnect between data and systems
As data is a central component of many modern systems, the cause of a system malfunction
may reside in the data, and, specifically, particular properties of data. Eg, a health …
may reside in the data, and, specifically, particular properties of data. Eg, a health …
Conformance constraint discovery: Measuring trust in data-driven systems
The reliability of inferences made by data-driven systems hinges on the data's continued
conformance to the systems' initial settings and assumptions. When serving data (on which …
conformance to the systems' initial settings and assumptions. When serving data (on which …
Functional Dependencies with Predicates: What Makes the g3-error Easy to Compute?
The notion of functional dependencies (FDs) can be used by data scientists and domain
experts to confront background knowledge against data. To overcome the classical, too …
experts to confront background knowledge against data. To overcome the classical, too …