Reducing Multiple Occurrences of Meta-Mark Selection in Relational Data Watermarking
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3182099
Abstract: Contrary to multimedia data watermarking approaches, it is not recommended that relational data watermarking techniques consider sequential selection for marks in the watermark and embedding locations in the protected digital asset. Indeed, considering the database… read more here.
Keywords: data watermarking; multiple occurrences; watermarking techniques; relational data ... See more keywords
BiClusO: A Novel Biclustering Approach and Its Application to Species-VOC Relational Data
Sign Up to like & getrecommendations! Published in 2020 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2019.2914901
Abstract: In this paper, we propose a novel biclustering approach called BiClusO. Biclustering can be applied to various types of bipartite data such as gene-condition or gene-disease relations. For example, we applied BiClusO to bipartite relations… read more here.
Keywords: novel biclustering; species voc; relational data; voc relational ... See more keywords
Adaptive Hypergraph Auto-Encoder for Relational Data Clustering
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3108192
Abstract: The embedded representation and clustering tasks both play important roles in relational data analysis and mining. Traditional methods mainly employ graph structure to describe relational data, but intuitive pairwise connections among nodes are insufficient to… read more here.
Keywords: auto encoder; adaptive hypergraph; high order; relational data ... See more keywords