Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Cristina Serrao"'
Publikováno v:
Applied Intelligence. 52:17534-17556
In this work we deal with the problem of detecting and explaining anomalous values in categorical datasets. We take the perspective of perceiving an attribute value as anomalous if its frequency is exceptional within the overall distribution of frequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6ffa8dee529a725be1e1f6701d6206b
https://doi.org/10.1007/s10489-022-03271-3
https://doi.org/10.1007/s10489-022-03271-3
Motivation An interesting problem is to study how gene co-expression varies in two different populations, associated with healthy and unhealthy individuals, respectively. To this aim, two important aspects should be taken into account: (i) in some ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::363e9bdfe7783b425f14fedf2b545127
https://hdl.handle.net/10447/594956
https://hdl.handle.net/10447/594956
Publikováno v:
Data & Knowledge Engineering. 145:102181
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5de350e42982208475872799555bb4e2
https://doi.org/10.1016/j.datak.2023.102181
https://doi.org/10.1016/j.datak.2023.102181
Publikováno v:
New Trends in Database and Information Systems ISBN: 9783031157424
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ff2fa44f605d05a8cbcc45f068edd19
https://doi.org/10.1007/978-3-031-15743-1_37
https://doi.org/10.1007/978-3-031-15743-1_37
Publikováno v:
Big Data Analytics and Knowledge Discovery ISBN: 9783030865337
DaWaK
DaWaK
Datasets from different domains usually contain data defined over a wide set of attributes or features linked through correlation relationship. Moreover, there are some applications in which not all the attributes should be treated in the same fashio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11cf44f26806a44c839485771fc418c6
https://doi.org/10.1007/978-3-030-86534-4_17
https://doi.org/10.1007/978-3-030-86534-4_17
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030864712
DEXA (1)
DEXA (1)
Finding outliers in networks is a central task in different application domains. Here, we exploit the stochastic block model framework to study the network from a generative point of view and design a score able to highlight those nodes whose connect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04f11151d3d158742b9f5cb3effb5867
https://doi.org/10.1007/978-3-030-86472-9_14
https://doi.org/10.1007/978-3-030-86472-9_14
Publikováno v:
ACM SIGAPP Applied Computing Review. 16:26-36
We consider the problem of mining gene expression data in order to single out interesting features that characterize healthy/unhealthy samples of an input dataset. We present and approach based on a network model of the input gene expression data, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e046a7add3b42e2547579e42cbb8325
https://doi.org/10.1145/3015297.3015300
https://doi.org/10.1145/3015297.3015300
Publikováno v:
Discovery Science ISBN: 9783030337773
DS
DS
In this work we deal with the problem of detecting and explaining exceptional behaving values in categorical datasets. As a first main contribution we provide the notion of frequency occurrence which can be thought as a form of Kernel Density Estimat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f75afed5ab485249339a38d99fbdb812
https://doi.org/10.1007/978-3-030-33778-0_25
https://doi.org/10.1007/978-3-030-33778-0_25
This work provides a review of biological networks as a model for analysis, presenting and discussing a number of illuminating analyses. Biological networks are an effective model for providing insights about biological mechanisms. Networks with diff
Publikováno v:
Discriminative Pattern Discovery on Biological Networks ISBN: 9783319634760
This chapter is devoted to a discussion on exceptional pattern discovery, namely on scenarios, contexts, and techniques concerning the mining of patterns which are so rare or so frequent to be considered as exceptional and, then, of interest for an e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f630c21777facc6a3a41af7c4a95d646
https://doi.org/10.1007/978-3-319-63477-7_3
https://doi.org/10.1007/978-3-319-63477-7_3