Using association rule mining to jointly detect clinical features and differentially expressed genes related to chronic inflammatory diseases.

Autor: Rosana Veroneze, Sâmia Cruz Tfaile Corbi, Bárbara Roque da Silva, Cristiane de S Rocha, Cláudia V Maurer-Morelli, Silvana Regina Perez Orrico, Joni A Cirelli, Fernando J Von Zuben, Raquel Mantuaneli Scarel-Caminaga

Publikováno v: PLoS ONE, Vol 15, Iss 10, p e0240269 (2020)

ObjectiveIt is increasingly common to find patients affected by a combination of type 2 diabetes mellitus (T2DM), dyslipidemia (DLP) and periodontitis (PD), which are chronic inflammatory diseases. More studies able to capture unknown relationships a

Externí odkaz: https://doaj.org/article/7f78380d19704c97ac608a34ba5f553d

Packer classification based on association rule mining

Autor: Khanh Huu The Dam, Thomas Given-Wilson, Axel Legay, Rosana Veroneze

Publikováno v: Applied Soft Computing, Vol. 127, p. 109373 (2022)

Detecting packer programs is a key step in the defense against malicious programs and plays a key role in cyber security defenses. One challenge with packer classification is that many features have been used and their individual significance is unkn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d94cb22e6452061180494a6292822cac
https://hdl.handle.net/2078.1/267962

Using association rule mining to jointly detect clinical features and differentially expressed genes related to chronic inflammatory diseases

Autor: Silvana Regina Perez Orrico, Fernando J. Von Zuben, Raquel M. Scarel-Caminaga, Cláudia Vianna Maurer-Morelli, Joni Augusto Cirelli, Bárbara Roque da Silva, Sâmia Cruz Tfaile Corbi, Rosana Veroneze, Cristiane S. Rocha

Publikováno v: Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
PLoS ONE, Vol 15, Iss 10, p e0240269 (2020)
PLoS ONE, Vol 15, Iss 10 (2020)
PLoS ONE

Made available in DSpace on 2021-06-25T10:35:28Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-10-01 Objective It is increasingly common to find patients affected by a combination of type 2 diabetes mellitus (T2DM), dyslipidemia (DLP) and per

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64b5375c7885fc2d856d88c822a3d9fd

Scalability achievements for enumerative biclustering with online partitioning: Case studies involving mixed-attribute datasets

Autor: Rosana Veroneze, Fernando J. Von Zuben

Publikováno v: Engineering Applications of Artificial Intelligence. 100:104147

Biclustering is a powerful data analysis technique and its concept is appealing in many domains, such as natural sciences and market basket analysis. To exemplify the wide range of biclustering applications, we can also mention recommender systems, e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::799e34dc15f92129570e49e45731e08f
https://doi.org/10.1016/j.engappai.2020.104147

On Bicluster Aggregation and its Benefits for Enumerative Solutions

Autor: Saullo Haniell Galvão de Oliveira, Rosana Veroneze, Fernando J. Von Zuben

Publikováno v: Machine Learning and Data Mining in Pattern Recognition ISBN: 9783319210230
MLDM

Biclustering involves the simultaneous clustering of objects and their attributes, thus defining local two-way clustering models. Recently, efficient algorithms were conceived to enumerate all biclusters in real-valued datasets. In this case, the sol

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3a28546713271673a0994dccdb110cb9
https://doi.org/10.1007/978-3-319-21024-7_18