A quality-aware spatial data warehouse for querying hydroecological data

Berrahou, L.; Lalande, Nathalie; Serrano, Emma; Molla, G.; Berti‐Équille, Laure; Bimonte, Sandro; Bringay, Sandra; Cernesson, Flavie; Grac, Corinne; Ienco, Dino; Ber, Florence Le; Teisseire, Maguelonne

doi:10.1016/j.cageo.2015.09.012

Cited by 11 publications

(6 citation statements)

References 14 publications

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“…Our method was applied to sequential datasets, dealing with biological and physico-chemical parameters sampled in waterbodies [3]. Data were collected from french databases during the ANR 11 MONU 14 Fresqueau project.…”

Section: Resultsmentioning

confidence: 99%

Extracting Hierarchies of Closed Partially-Ordered Patterns Using Relational Concept Analysis

Nica¹,

Braud²,

Dolques³

et al. 2016

Lecture Notes in Computer Science

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Abstract. This paper presents a theoretical framework for exploring temporal data, using Relational Concept Analysis (RCA), in order to extract frequent sequential patterns that can be interpreted by domain experts. Our proposal is to transpose sequences within relational contexts, on which RCA can be applied. To help result analysis, we build closed partially-ordered patterns (cpo-patterns), that are synthetic and easy to read for experts. Each cpo-pattern is associated to a concept extent which is a set of temporal objects. Moreover, RCA allows to build hierarchies of cpo-patterns with two generalisation levels, regarding the structure of cpo-patterns and the items. The benefits of our approach are discussed with respect to pattern structures.

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Section: Resultsmentioning

confidence: 99%

Extracting Hierarchies of Closed Partially-Ordered Patterns Using Relational Concept Analysis

Nica¹,

Braud²,

Dolques³

et al. 2016

Lecture Notes in Computer Science

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“…For illustration purpose, we rely on data collected during the Fresqueau project which aimed to study biological and physico-chemical parameters sampled in waterbodies, in order to assess and monitor the hydrobiologic quality of running waters [47]. Data were collected from various French databases such as the ones proposed by the Eau France portal 9 .…”

Section: Methodsmentioning

confidence: 99%

Generalization effect of quantifiers in a classification based on relational concept analysis

Braud

Dolques

Huchard

et al. 2018

Knowledge-Based Systems

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Relational Concept Analysis (RCA) has been designed to classify sets of objects described by attributes and relations between these objects. This is achieved by iterating on Formal Concept Analysis (FCA). It can be used to discover knowledge patterns and implication rules in multi-relational datasets. The classification output by RCA is a family of lattices whose graphical representation facilitates the analysis by an expert. However, RCA comes with specific complexity issues. It iterates on the building of interconnected concept lattices, so that each concept in a lattice might be the cause of generating other concepts in other lattices. In complex analyses, it relies on the successive choice of scaling operators which affects the size and the understandability of the results. These operators are based on a set of quantifiers which are studied in this paper: we indeed focus on the comparison of scaling quantifiers and highlight a generality relation between them. Our theoretical proposition is complemented by an experimental evaluation of the exploration space size, based on a real dataset upon watercourses. This work is intended for data analysts, to provide them with an overview on the different strategies offered by RCA.

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“…Existen trabajos relacionados a esta temática, haciendo uso del ADE en distintos campos de aplicación; tales como: i) visualización de áreas geográficas de intervención para la ejecución de proyectos de vinculación (Pizarro et al, 2018); ii) detección de crimenes (Sale et al, 2018); puntos calientes de biodiversidad ; estudios hidro-ecológicos (Berrahou et al, 2015); análisis de datos demográficos; (González y González, 2013); entre otros. Estos campos de aplicación hacen pertinente la propuesta del diseño de la arquitectura de un ADE, de acuerdo a las necesidades del usuario final.…”

Section: Introductionunclassified

Arquitectura de un Almacén de Datos Espacial

Pizarro¹,

Jurado²,

Coque³

2019

IRR

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históricos geográficos, el presente trabajo propone y verifica el diseño y la implementación de una arquitectura para un Almacén de Datos Espacial (ADE), mediante el uso de herramientas FOSS4G como: PostgreSQL + PostGIS para la base de datos espacial; Talend Open Studio + SDI para el procedimiento ETL; GeoServer como sevidor de mapas; SOLAP en SpagoBI Server y sus herramientas secundarias. La implementación del ADE (Almacén de Datos Espacial) permitió el análisis de un caso de estudio que demuestra la posibilidad de la aplicación de ADE en procesos de gestión de áreas sociales, de negocios o de investigación.

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A quality-aware spatial data warehouse for querying hydroecological data

Cited by 11 publications

References 14 publications

Extracting Hierarchies of Closed Partially-Ordered Patterns Using Relational Concept Analysis

Extracting Hierarchies of Closed Partially-Ordered Patterns Using Relational Concept Analysis

Generalization effect of quantifiers in a classification based on relational concept analysis

Arquitectura de un Almacén de Datos Espacial

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