Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Alexandru Boicea"'
Publikováno v:
Water; Volume 13; Issue 24; Pages: 3638
Water, Vol 13, Iss 3638, p 3638 (2021)
Water, Vol 13, Iss 3638, p 3638 (2021)
Many studies concerning atmosphere moisture paths use Lagrangian backward air parcel trajectories to determine the humidity sources for specific locations. Automatically grouping trajectories according to their geographical position simplifies and sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee7ec38be3201dd5924b7ad8661c4256
Autor:
Elena Apostol, Iulia-Maria Radulescu, Florin Radulescu, Ciprian-Octavian Truica, Alexandru Boicea, Mariana Mocanu
Publikováno v:
Computational Science – ICCS 2021 ISBN: 9783030779603
ICCS (1)
ICCS (1)
This paper introduces DenLAC (Density Levels Aggregation Clustering), an adaptable clustering algorithm which achieves high accuracy independent of the input’s shape and distribution. While most clustering algorithms are specialized on particular i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fbcd54da0ec1a72494698cec35536df
https://doi.org/10.1007/978-3-030-77961-0_27
https://doi.org/10.1007/978-3-030-77961-0_27
Publikováno v:
Future Generation Computer Systems. 85:60-75
Top-k keyword and top-k document extraction are very popular text analysis techniques. Top-k keywords and documents are often computed on-the-fly, but they exploit weighted vocabularies that are costly to build. To compare competing weighting schemes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b550c1201b1111d379b2aaa89736097
https://doi.org/10.1016/j.future.2018.02.037
https://doi.org/10.1016/j.future.2018.02.037
Publikováno v:
Data & Knowledge Engineering. 115:1-15
Getting information from large volumes of data is very expensive in terms of resources like CPU and memory, as well as computation time. The analysis of a small data set extracted from the original set is preferred. From this small set, called sample
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8828806a7c2911da9ffb288baaaa729a
https://doi.org/10.1016/j.datak.2018.01.002
https://doi.org/10.1016/j.datak.2018.01.002
Publikováno v:
Geographia Technica. 11:1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::102d7e2934a5d600db261d7f350967cd
https://doi.org/10.21163/gt_2016.112.01
https://doi.org/10.21163/gt_2016.112.01
Publikováno v:
SYNASC
Automatic language identification is a natural language processing problem that tries to determine the natural language of a given content. In this paper we present a statistical method for automatic language identification of written text using dict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab501c2ad137617607c080f1818a786b
http://arxiv.org/abs/1806.05480
http://arxiv.org/abs/1806.05480
Publikováno v:
HAL
Top-k keyword and top-k document extraction are very popular text analysis techniques. Top-k keywords and documents are often computed on-the-fly, but they exploit weighted vocabularies that are costly to build. To compare competing weighting schemes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fe401f24868fa7965e57ee262f315ca
Publikováno v:
CSCS
Data security has become an issue of increasing importance, especially for Web applications and distributed databases. One solution is using cryptographic algorithms whose improvement has become a constant concern. The increasing complexity of these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc48a22b8fe64d034a5c273f665cc56a
https://doi.org/10.1109/cscs.2017.50
https://doi.org/10.1109/cscs.2017.50
Publikováno v:
SYNASC
Topic Modeling is a type of statistical model that tries to determine the topics present in a corpus of documents. The accuracy measures applied to clustering algorithm can also be used to assess the accuracy of topic modeling algorithms because dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4887637653561307c18e3f10548bdca6
https://doi.org/10.1109/synasc.2016.055
https://doi.org/10.1109/synasc.2016.055
Publikováno v:
CSCS
NoSQL databases are becoming increasingly popular as more developers seek new ways for storing information. The popularity of these databases has risen due to their flexibility and scalability needed in domains like Big Data and Cloud Computing. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6f0efec951bdfd0c4270bdff6be2b08
https://doi.org/10.1109/cscs.2015.32
https://doi.org/10.1109/cscs.2015.32