Documentos de María-Esther Vidal | REDI

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Área de conocimiento: "Análisis de datos"

Subtipo de publicación

Conference Object(13)

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CEUR Workshop Proceedings(3)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)

Journal of Data and Information Quality(2)

Proceedings - IEEE Symposium on Computer-Based Medical Systems(2)

2013 ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics, ACM-BCB 2013(1)

Área temáticas

Funcionamiento de bibliotecas y archivos(15)

Métodos informáticos especiales(3)

Ciencias de la computación(2)

Comunicaciones(2)

Biblioteconomía y Documentación informatica(1)

Área de conocimiento

Ciencias de la computación(11)

Cuidado de la salud(1)

Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura(16)

ODS 17: Alianzas para lograr los objetivos(12)

ODS 16: Paz, justicia e instituciones sólidas(5)

ODS 3: Salud y bienestar(5)

ODS 4: Educación de calidad(4)

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Palabras Claves

Annotation datasets(1)

Annotation similarity(1)

Biomedical Data(1)

A data-driven approach for analyzing healthcare services extracted from clinical records

Conference Object

Abstract: Cancer remains one of the major public health challenges worldwide. After cardiovascular diseases, c

Palabras claves:

Data-driven, EHR, Hospitalization processes, lung cancer, Patient management

María-Esther Vidal, Menasalvas Ruiz E., Paliouras G., Provencio Pulla M., Rodriguez-Gonzalez A., Scurti M., Torrente M., Vogiatzis D.

Classifying data heterogeneity within budget and spending open data

Conference Object

Abstract: Open data has gained momentum for the past few years, but not much consumption was done over publish

Palabras claves:

Data heterogeneity, Fiscal data, open data

Jabeen H., María-Esther Vidal, Musyaffa F.A., Orlandi F.

Editorial: Special issue on web data quality

Palabras claves:

Bizer C., Dong L., Ilyas I., María-Esther Vidal

GRAPHIUM: Visualizing performance of graph and RDF engines on linked data

Conference Object

Abstract: We present GRAPHIUM a tool to visualize trends and patterns in the performance of existing graph and

Palabras claves:

De Abreu D., Flores A., María-Esther Vidal, Palma G., Pestana V., Pinero J., Queipo J., Sánchez J.

IOTA: Interlinking of heterogeneous multilingual open fiscal DaTA

Abstract: Open budget data are among the most frequently published datasets of the open data ecosystem, intend

Palabras claves:

Budget and spending data, Cluster computing, Data interlinking, open data, String similarity measure, Translated string matching framework

Jabeen H., Lehmann J., María-Esther Vidal, Musyaffa F.A., Orlandi F.

Factorization techniques for longitudinal linked data

Conference Object

Abstract: Longitudinal linked data are RDF descriptions of observations from related sampling frames or sensor

Palabras claves:

Data factorization, Longitudinal linked data

Auer S., Karim F., María-Esther Vidal

Knowledge-Driven Data Ecosystems Toward Data Transparency

Abstract: A data ecosystem (DE) offers a keystone-player or alliance-driven infrastructure that enables the in

Palabras claves:

data ecosystems, Data Quality, Data transparency, trustability

Cappiello C., Gal A., Geisler S., Jarke M., Lenzerini M., Lóscio B.F., María-Esther Vidal, Missier P., Otto B., Paja E., Pernici B., Rehof J.

Query preoptimization in data sources with limited capabilities

Abstract: Emerging technologies such as Semantic Web, P2P and Semantic Grid have made available a huge number

Palabras claves:

María-Esther Vidal, Tovar E.L.

Ranking and clustering techniques to support an efficient E-democracy

Conference Object

Abstract: We focus on ranking and data mining techniques to empower e-Democracy and allow the opinion of ordin

Palabras claves:

Clustering, e-Democracy, Skyline, Top-k

Acosta M., Castro F., Goncalves M., María-Esther Vidal, Vidal L.A.

MapReduce vs. pipelining counting triangles

Conference Object

Abstract: In this paper we follow an alternative approach named pipeline, to implement a parallel implementati

Palabras claves:

María-Esther Vidal, Pasarella E., Zoltan C.