917 resultados para Spatial data warehouse


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Construcción y explotación de un almacén de datos para el análisis del sistema de ventas de una distribuidora farmacéutica, realizado sobre la plataforma Microsoft SQL Server 2012.

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El proyecto proporciona las claves para elaborar un almacén de datos para un conjunto de datos de forma que permita analizar la información correspondiente a la oferta de recursos turísticos en Catalunya, considerando dimensiones temporales, geográficas, categorías y equipamientos disponibles.

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Este documento contiene la memoria de un proyecto de construcción y explotación de un almacén de datos para el análisis de la información sobre alojamientos turísticos.

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El present projecte consisteix en la construcció i explotació d'un magatzem de dades (data warehouse) per a l'anàlisi d'informació sobre allotjaments turístics.

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Aquest TFC de magatzem de dades té com a tema a desenvolupar la construcció i explotació d'un magatzem de dades per a l'anàlisi d'informació sobre allotjaments turístics.

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This report goes beyond documentation of the population growth and needs of women offenders to describe how the Iowa Department of Corrections is addressing treatment needs of the female offender population. Except where noted, information was obtained from the Iowa Corrections Offender Network (ICON) with many of the reports obtained via the Iowa Justice Data Warehouse.

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This report begins with the prevalence and projected growth of offenders convicted of sex crimes within Iowa’s community-based corrections and prison populations, then describes how the Iowa Department of Corrections is addressing sex offenders’ issues through the provision of treatment and management strategies. Except where noted, information was obtained from the Iowa Corrections Offender Network (ICON) with many of the reports obtained via the Iowa Justice Data Warehouse.

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This report goes beyond mere documentation of the problem. It describes how the Iowa Department of Corrections is addressing mental health issues among the offender population through the provision of treatment. All data was obtained from Iowa Corrections Offender Network (ICON) information residing in the Iowa Justice Data Warehouse, and the ICON-Medical module. 1

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This report, however, goes beyond documentation of the problem. It describes how the Iowa Department of Corrections is addressing substance abuse among the offender population through the provision of treatment, and monitoring for current drug and alcohol usage. All information was obtained from the Iowa Corrections Offender Network (ICON) with many of the reports obtained via the Iowa Justice Data Warehouse.

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This paper presents multiple kernel learning (MKL) regression as an exploratory spatial data analysis and modelling tool. The MKL approach is introduced as an extension of support vector regression, where MKL uses dedicated kernels to divide a given task into sub-problems and to treat them separately in an effective way. It provides better interpretability to non-linear robust kernel regression at the cost of a more complex numerical optimization. In particular, we investigate the use of MKL as a tool that allows us to avoid using ad-hoc topographic indices as covariables in statistical models in complex terrains. Instead, MKL learns these relationships from the data in a non-parametric fashion. A study on data simulated from real terrain features confirms the ability of MKL to enhance the interpretability of data-driven models and to aid feature selection without degrading predictive performances. Here we examine the stability of the MKL algorithm with respect to the number of training data samples and to the presence of noise. The results of a real case study are also presented, where MKL is able to exploit a large set of terrain features computed at multiple spatial scales, when predicting mean wind speed in an Alpine region.

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Kokouksen esitysten verkko-osoite: http://www.geoinfo.tuwien.ac.at/events/Euresco2000/gdgis.htm

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The Iowa Juvenile Court Services Offices are issuing their fourth annual statewide report. The the Iowa Division of Criminal and Juvenile Justice Planning (CJJP). This report would not be possible without the dedication of, and assistance from, all of the above-mentioned people. The eight Chief Juvenile Court Officers would like to take this opportunity to thank their staff for their dedication and their ability to enter accurate information on every youth referred to Juvenile Court Services; the staff at the Iowa Court Information System, without whom this report would not be possible; and CJJP for their maintenance of the Iowa Justice Data Warehouse and their support in preparing this document.

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The Iowa Juvenile Court Services Offices are issuing their fourth annual statewide report. The the Iowa Division of Criminal and Juvenile Justice Planning (CJJP). This report would not be possible without the dedication of, and assistance from, all of the above-mentioned people. The eight Chief Juvenile Court Officers would like to take this opportunity to thank their staff for their dedication and their ability to enter accurate information on every youth referred to Juvenile Court Services; the staff at the Iowa Court Information System, without whom this report would not be possible; and CJJP for their maintenance of the Iowa Justice Data Warehouse and their support in preparing this document.

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The Data Warehouse Replacement Project includes updated County Health Snapshot reports. The snapshots provide an overview of key health indicators for local communities. They contain county-level measures that are organized into eight categories. The categories are asthma, cancer, health behaviors and outcomes, heart disease and other chronic conditions, infectious disease, mortality and injury prevention, population statistics and reproductive outcomes. The updated county health snapshots include almost forty new chronic disease indicators in addition to all of the indicators in the existing snapshots.There will be two different reports available in the Data Warehouse replacement system. One of the reports is a multi-year county health snapshot. This report has a similar format to the previous county health snapshot report in the current Data Warehouse. It will display multiple years of data for a single county. The data will be for the most current year available and the two years prior. The state values for the current year will also be included.

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Trabajo centrado en el estudio y aplicación práctica de las técnicas conocidas bajo el nombre de almacenes de datos y, concretamente, en sistemas ROLAP para dar respuesta a las necesidades de los entornos decisorios. En él se detallan los requisitos para desplegar un análisis de información sobre establecimientos turísticos, se expone la planificación, método basado en UML, el análisis, diseño, los pasos de recuperación de los datos -para su posterior transformación y carga en un base de datos relacional MySQL- y la presentación de las consultas OLAP e informes.