Zobrazeno 1 - 10
of 55
pro vyhledávání: '"M. Andrea Rodríguez"'
Autor:
M. Andrea Rodríguez, Daniil Galaktionov, Nieves R. Brisaboa, Tirso V. Rodeiro, Antonio Fariña
Publikováno v:
Information Sciences. 584:752-783
We address the problem of storing and analyzing large datasets of passenger trips over public transportation networks that are of interest to network administrators trying to balance transportation offers (e.g., frequency of vehicles) according to th
Publikováno v:
Information and Computation. 292:105029
Publikováno v:
GeoInformatica. 23:79-104
Query processing is an important challenge for spatial databases due to the use of complex data types that represent spatial attributes. In particular, due to the cost of spatial joins, several optimization algorithms based on indexing structures exi
Publikováno v:
Information Sciences
Temporal graphs represent binary relationships that change along time. They can model the dynamism of, for example, social and communication networks. Temporal graphs are defined as sets of contacts that are edges tagged with the temporal intervals w
Autor:
Stephen J. Hegner, M. Andrea Rodríguez
Publikováno v:
Informatica. 28:45-78
Data involving spatial and/or temporal attributes are often represented at different levels of granularity in different source schemata. In this work, a model of such multigranular data is develope ...
Publikováno v:
String Processing and Information Retrieval-25th International Symposium, SPIRE 2018, Lima, Peru, October 9-11, 2018, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-String Processing and Information Retrieval
String Processing and Information Retrieval ISBN: 9783030004781
SPIRE
Lecture Notes in Computer Science
Lecture Notes in Computer Science-String Processing and Information Retrieval
String Processing and Information Retrieval ISBN: 9783030004781
SPIRE
Two-level indexes have been widely used to handle trajectories of moving objects that are constrained to a network. The top-level of these indexes handles the spatial dimension, whereas the bottom level handles the temporal dimension. The latter turn
Autor:
Stephen J. Hegner, M. Andrea Rodríguez
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319988085
DEXA (1)
DEXA (1)
Domains for spatial and temporal data are often multigranular in nature, possessing a natural order structure defined by spatial inclusion and time-interval inclusion, respectively. This order structure induces lattice-like (partial) operations, such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd26a5bf4afd9d472ac9886e059611fe
https://doi.org/10.1007/978-3-319-98809-2_23
https://doi.org/10.1007/978-3-319-98809-2_23
Publikováno v:
Knowledge and Information Systems. 49:553-595
Temporal graphs represent vertices and binary relations that change along time. The work in this paper proposes to represent temporal graphs as cells in a 4D binary matrix: two dimensions to represent extreme vertices of an edge and two dimensions to
Publikováno v:
Information Systems. 51:1-26
Temporal graphs represent vertices and binary relations that change along time. In this paper, a temporal graph is conceptualized as the sequences of changes on its edges during its lifetime, also known as temporal adjacency logs. The paper explores