Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Alberto Pérez García-Plaza"'
Autor:
Santiago Dueñas, Valerio Cosentino, Jesus M. Gonzalez-Barahona, Alvaro del Castillo San Felix, Daniel Izquierdo-Cortazar, Luis Cañas-Díaz, Alberto Pérez García-Plaza
Publikováno v:
PeerJ Computer Science, Vol 7, p e601 (2021)
Background After many years of research on software repositories, the knowledge for building mature, reusable tools that perform data retrieval, storage and basic analytics is readily available. However, there is still room to improvement in the area
Externí odkaz:
https://doaj.org/article/39a48c5964714e2ca1630d3b703f390d
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 6:25-28
This paper presents a new approach to disambiguate company names in the Twitter social network. We have focused on making lighter the processing of comparing company profiles with tweets in order to obtain a competitive real-time system. With this ai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5a4d8fadd8efc2533ed7f49cdeeec6b
https://doi.org/10.1609/icwsm.v6i3.14351
https://doi.org/10.1609/icwsm.v6i3.14351
Autor:
Alberto Pérez García-Plaza, Luis Cañas-Díaz, Santiago Duenas, Valerio Cosentino, Jesus M. Gonzalez-Barahona, Alvaro del Castillo San Felix, Daniel Izquierdo-Cortazar
Publikováno v:
PeerJ Computer Science
PeerJ Computer Science, Vol 7, p e601 (2021)
PeerJ Computer Science, Vol 7, p e601 (2021)
Background After many years of research on software repositories, the knowledge for building mature, reusable tools that perform data retrieval, storage and basic analytics is readily available. However, there is still room to improvement in the area
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c55c5aa8c7f461eb5fbfc3f3fa16b867
https://doi.org/10.7717/peerj-cs.601
https://doi.org/10.7717/peerj-cs.601
Publikováno v:
IEEE Transactions on Fuzzy Systems. 25:919-933
The selection of a suitable document representation approach plays a crucial role in the performance of a document clustering task. Being able to pick out representative words within a document can lead to substantial improvements in document cluster
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7db7900d8b5bbfec5ae49f9cffe5116a
https://doi.org/10.1109/tfuzz.2016.2586971
https://doi.org/10.1109/tfuzz.2016.2586971
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 25:1801-1813
In our daily lives, organizing resources like books or webpages into a set of categories to ease future access is a common task. The usual largeness of these collections requires a vast endeavor and an outrageous expense to organize manually. As an a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9c4edd02e629b0ce9a8f47dfac0d610
https://doi.org/10.1109/tkde.2012.115
https://doi.org/10.1109/tkde.2012.115
Publikováno v:
Expert Systems with Applications. 39:9483-9493
Highlights? Representing tags by co-occurrences yields more accurate clusters than representing them by content. ? Representations based on co-occurrences significantly reduce the computational cost of the process. ? Some of the studied functions to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c986e11a8dcf5607eb04b469ae886898
https://doi.org/10.1016/j.eswa.2012.02.108
https://doi.org/10.1016/j.eswa.2012.02.108
Publikováno v:
Expert Systems with Applications. 39:7919-7928
Software product line engineering pursues the efficient development of families of similar products. COPLIMO is an economic model that relies on COCOMO II to estimate the benefits of adopting a product line approach compared to developing the product
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89b763fe45f18bf3cc23eff33e9b8f6b
https://doi.org/10.1016/j.eswa.2012.01.109
https://doi.org/10.1016/j.eswa.2012.01.109
Autor:
Alberto Pérez García-Plaza, Mari-Sanna Paukkeri, Víctor Fresno, Raquel Martínez Unanue, Timo Honkela
Publikováno v:
Applied Soft Computing. 12:1138-1148
We present a methodology for learning a taxonomy from a set of text documents that each describes one concept. The taxonomy is obtained by clustering the concept definition documents with a hierarchical approach to the Self-Organizing Map. In this st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55db11655b12dcda03ff15607d71e762
https://doi.org/10.1016/j.asoc.2011.11.009
https://doi.org/10.1016/j.asoc.2011.11.009
Tag clouds have become an appealing way of navigating through Web pages on social tagging systems. Recent research has focused on finding relations among tags to improve visualization and access to Web documents from tag clouds. Reorganizing tag clou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76bd5602665f4b9b3a441a28911e0cdc
https://doi.org/10.4018/978-1-4666-2806-9.ch009
https://doi.org/10.4018/978-1-4666-2806-9.ch009
Publikováno v:
FUZZ-IEEE
In this work we deal with the problem of web page clustering from the point of view of document representation. Fuzzy ruled-based systems have been successfully used to represent web documents by means of heuristic combinations of criteria. In these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bece9e7eba6bd5c6e7bf28ef662d00a9
https://doi.org/10.1109/fuzz-ieee.2012.6251249
https://doi.org/10.1109/fuzz-ieee.2012.6251249