Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Paolo Ciaccia"'
Autor:
Arnaud Ceol, Piero Montanari, Ilaria Bartolini, Stefano Ceri, Paolo Ciaccia, Marco Patella, Marco Masseroli
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-13 (2020)
Abstract Background Genome browsers are widely used for locating interesting genomic regions, but their interactive use is obviously limited to inspecting short genomic portions. An ideal interaction is to provide patterns of regions on the browser,
Externí odkaz:
https://doaj.org/article/48274b9c751a49a188f1d8c441b3551f
Autor:
Davide Martinenghi, Paolo Ciaccia
Publikováno v:
ACM Transactions on Database Systems. 45:1-45
Skyline and ranking queries are two popular, alternative ways of discovering interesting data in large datasets. Skyline queries are simple to specify, as they just return the set of all non-dominated tuples, thereby providing an overall view of pote
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::658e5afe35bcc1026dc91474181992a9
https://doi.org/10.1145/3406113
https://doi.org/10.1145/3406113
Publikováno v:
ACM SIGIR Forum. 54:1-5
This paper reports on the 28th Italian Symposium on Advanced Database Systems (SEBD 2020), held online as a virtual conference from the 21st to the 24th of June 2020. The topics that were addressed in this edition of the conference were organized in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cf4519166aef95de3074ee14f68b36d
https://doi.org/10.1145/3483382.3483392
https://doi.org/10.1145/3483382.3483392
When composing multiple preferences characterizing the most suitable results for a user, several issues may arise. Indeed, preferences can be partially contradictory, suffer from a mismatch with the level of detail of the actual data, and even lack n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::419129ddb099d2752f0790b6792a551b
http://hdl.handle.net/11585/858760
http://hdl.handle.net/11585/858760
Preferences are a fundamental ingredient in a variety of fields, ranging from economics to computer science, for deciding the best choices among possible alternatives. Contexts provide another important aspect to be considered in the selection of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::facac62d55d1efecfa1dc479785f10c1
https://hdl.handle.net/11585/738331
https://hdl.handle.net/11585/738331
Publikováno v:
Conceptual Modeling ISBN: 9783030332228
ER
ER
Preferences about objects of interest are often expressed at different levels of granularity, not always matching the level of detail of stored data. For instance, we prefer rock to pop music, yet scheduled concerts only cite the name of the performe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86e8be5c1eb4052da50b1aec783cd027
https://doi.org/10.1007/978-3-030-33223-5_33
https://doi.org/10.1007/978-3-030-33223-5_33
Publikováno v:
Similarity Search and Applications ISBN: 9783030320461
SISAP
SISAP
Distance concentration is a phantom menace for the labeling of high dimensional data by distance-based classifiers. Filter methods reduce data dimensionality, but they also add their ranking bias indirectly into the classification procedure. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef7e143a527aa95b656d5e60ccd91731
https://doi.org/10.1007/978-3-030-32047-8_15
https://doi.org/10.1007/978-3-030-32047-8_15
Publikováno v:
Studies in Big Data ISBN: 9783319618920
A Comprehensive Guide Through the Italian Database Research
A Comprehensive Guide Through the Italian Database Research
Starting from the 90’s, it was easily recognized that commonly adopted search paradigms were not enough to deal with at-the-time emerging novel DB applications, in which the presence of multimedia data and high dimensionality were both key aspects.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16f15c09c47359ee7da3d691e5d3c9b0
https://doi.org/10.1007/978-3-319-61893-7_8
https://doi.org/10.1007/978-3-319-61893-7_8