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Dissertations / Theses on the topic 'Multidimensional data mining'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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1

Torre, Fabrizio. "3D data visualization techniques and applications for visual multidimensional data mining." Doctoral thesis, Universita degli studi di Salerno, 2014. http://hdl.handle.net/10556/1561.

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2012 - 2013<br>Despite modern technology provide new tools to measure the world around us, we are quickly generating massive amounts of high-dimensional, spatialtemporal data. In this work, I deal with two types of datasets: one in which the spatial characteristics are relatively dynamic and the data are sampled at different periods of time, and the other where many dimensions prevail, although the spatial characteristics are relatively static. The first dataset refers to a peculiar aspect of uncertainty arising from contractual relationships that regulate a project execution: the dispu

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2

Nimmagadda, Shastri Lakshman. "Ontology based data warehousing for mining of heterogeneous and multidimensional data sources." Thesis, Curtin University, 2015. http://hdl.handle.net/20.500.11937/2322.

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Heterogeneous and multidimensional big-data sources are virtually prevalent in all business environments. System and data analysts are unable to fast-track and access big-data sources. A robust and versatile data warehousing system is developed, integrating domain ontologies from multidimensional data sources. For example, petroleum digital ecosystems and digital oil field solutions, derived from big-data petroleum (information) systems, are in increasing demand in multibillion dollar resource businesses worldwide. This work is recognized by Industrial Electronic Society of IEEE and appeared i

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3

Wu, Hao-cun, and 吳浩存. "A multidimensional data model for monitoring web usage and optimizing website topology." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29528215.

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4

Peterson, Angela R. "Visual data mining Using parallel coordinate plots with K-means clustering and color to find correlations in a multidimensional dataset /." Instructions for remote access, 2009. http://www.kutztown.edu/library/services/remote_access.asp.

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5

Ding, Guoxiang. "DERIVING ACTIVITY PATTERNS FROM INDIVIDUAL TRAVEL DIARY DATA: A SPATIOTEMPORAL DATA MINING APPROACH." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1236777859.

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6

Li, Hsin-Fang. "DATA MINING AND PATTERN DISCOVERY USING EXPLORATORY AND VISUALIZATION METHODS FOR LARGE MULTIDIMENSIONAL DATASETS." UKnowledge, 2013. http://uknowledge.uky.edu/epb_etds/4.

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Oral health problems have been a major public health concern profoundly affecting people’s general health and quality of life. Given that oral health data is composed of several measurable dimensions including clinical measurements, socio-behavioral factors, genetic predispositions, self-reported assessments, and quality of life measures, strategies for analyzing multidimensional data are neither computationally straightforward nor efficient. Researchers face major challenges to identify tools that circumvent the processes of manually probing the data. The purpose of this dissertation is to pr

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7

Kucuktunc, Onur. "Result Diversification on Spatial, Multidimensional, Opinion, and Bibliographic Data." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1374148621.

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8

Foltýnová, Veronika. "Multidimenzionální analýza dat a zpracování analytického zobrazení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-376922.

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This thesis deals with the analysis and display of multidimensional data. In the theoretical part, the issue of data mining, its tasks and techniques, and a brief explanation of the terms Business Intelligence and data warehouse are presented. The issue of databases is also described in this thesis. Subsequently, the options for displaying multidimensional data are described. At the end of the theoretical part is briefly explained the problems of optical networks and especially the terms Gigabit passive optical network and its frame, because the data from the frames of this network will be dis

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9

Nunes, Santiago Augusto. "Análise espaço-temporal de data streams multidimensionais." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-17102016-152137/.

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Fluxos de dados são usualmente caracterizados por grandes quantidades de dados gerados continuamente em processos síncronos ou assíncronos potencialmente infinitos, em aplicações como: sistemas meteorológicos, processos industriais, tráfego de veículos, transações financeiras, redes de sensores, entre outras. Além disso, o comportamento dos dados tende a sofrer alterações significativas ao longo do tempo, definindo data streams evolutivos. Estas alterações podem significar eventos temporários (como anomalias ou eventos extremos) ou mudanças relevantes no processo de geração da stream (que resu

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10

Nieto, Erick Mauricio Gómez. "Projeção multidimensional aplicada a visualização de resultados de busca textual." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-05122012-105730/.

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Usuários da Internet estão muito familiarizados que resultados de uma consulta sejam exibidos como uma lista ordenada de snippets. Cada snippet possui conteúdo textual que mostra um resumo do documento referido (ou página web) e um link para o mesmo. Esta representação tem muitas vantagens como, por exemplo, proporcionar uma navegação fácil e simples de interpretar. No entanto, qualquer usuário que usa motores de busca poderia reportar possivelmente alguma experiência de decepção com este modelo. Todavia, ela tem limitações em situações particulares, como o não fornecimento de uma visão geral

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11

Ivaškevičius, Klaidas. "Daugiamačių sekų šablonų analizė." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2012~D_20140630_173416-93518.

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Pagrindinis šio magistro baigiamojo darbo tikslas buvo apžvelgti kai kurių algoritmų ir jų kombinacijų pritaikymą daugiamačiams sekų šablonams analizuoti ir įgyvendinti algoritmą, gebantį tai atlikti. Buvo aprašyta FP-Tree medžio struktūra, kuri yra skirta kompaktiškai saugoti kritiniams (pvz., dažnai pasikartojantiems) duomenims, pateiktas FP-Growth algoritmas, galintis analizuoti tokią duomenų struktūrą ir rezultate pateikiantis visų dažnų elementų šablonų aibę. Pristatyta modifikuotų FP-Growth ir PrefixSpan algoritmų kombinacija – MD-PS-FPG algoritmas, pateikti kai kurių atliktų testavimų r

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12

Nogueira, Rodrigo Ramos. "Newsminer: um sistema de data warehouse baseado em texto de notícias." Universidade Federal de São Carlos, 2017. https://repositorio.ufscar.br/handle/ufscar/9138.

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Submitted by Milena Rubi (milenarubi@ufscar.br) on 2017-10-09T14:12:56Z No. of bitstreams: 1 NOGUEIRA_Rodrigo_2017.pdf: 5427774 bytes, checksum: db8155583bf1bffe3ceb4c01bf26f66f (MD5)<br>Approved for entry into archive by Milena Rubi (milenarubi@ufscar.br) on 2017-10-09T14:14:04Z (GMT) No. of bitstreams: 1 NOGUEIRA_Rodrigo_2017.pdf: 5427774 bytes, checksum: db8155583bf1bffe3ceb4c01bf26f66f (MD5)<br>Approved for entry into archive by Milena Rubi (milenarubi@ufscar.br) on 2017-10-09T14:14:13Z (GMT) No. of bitstreams: 1 NOGUEIRA_Rodrigo_2017.pdf: 5427774 bytes, checksum: db8155583bf1bffe3ceb4

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13

Egho, Elias. "Extraction de motifs séquentiels dans des données séquentielles multidimensionnelles et hétérogènes : une application à l'analyse de trajectoires de patients." Thesis, Université de Lorraine, 2014. http://www.theses.fr/2014LORR0066/document.

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Tous les domaines de la science et de la technologie produisent de gros volume de données hétérogènes. L'exploration de tels volumes de données reste toujours un défi. Peu de travaux ciblent l'exploration et l'analyse de données séquentielles multidimensionnelles et hétérogènes. Dans ce travail, nous proposons une contribution à la découverte de connaissances dans les données séquentielles hétérogènes. Nous étudions trois axes de recherche différents: (i) l'extraction de motifs séquentiels, (ii) la classification et (iii) le clustering des données séquentielles. Tout d'abord, nous généralisons

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Egho, Elias. "Extraction de motifs séquentiels dans des données séquentielles multidimensionnelles et hétérogènes : une application à l'analyse de trajectoires de patients." Electronic Thesis or Diss., Université de Lorraine, 2014. http://www.theses.fr/2014LORR0066.

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Tous les domaines de la science et de la technologie produisent de gros volume de données hétérogènes. L'exploration de tels volumes de données reste toujours un défi. Peu de travaux ciblent l'exploration et l'analyse de données séquentielles multidimensionnelles et hétérogènes. Dans ce travail, nous proposons une contribution à la découverte de connaissances dans les données séquentielles hétérogènes. Nous étudions trois axes de recherche différents: (i) l'extraction de motifs séquentiels, (ii) la classification et (iii) le clustering des données séquentielles. Tout d'abord, nous généralisons

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15

Paulovich, Fernando Vieira. "Mapeamento de dados multi-dimensionais - integrando mineração e visualização." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-04032009-145018/.

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As técnicas de projeção ou posicionamento de pontos no plano, que servem para mapear dados multi-dimensionais em espaços visuais, sempre despertaram grande interesse da comunidade de visualização e análise de dados por representarem uma forma útil de exploração baseada em relações de similaridade e correlação. Apesar disso, muitos problemas ainda são encontrados em tais técnicas, limitando suas aplicações. Em especial, as técnicas de projeção multi-dimensional de maior qualidade têm custo computacional proibitivo para grandes conjuntos de dados. Adicionalmente, problemas referentes à escalabil

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16

Salazar, Frizzi Alejandra San Roman. "Um estudo sobre o papel de medidas de similaridade em visualização de coleções de documentos." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-24012013-155903/.

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Técnicas de visualização de informação, tais como as que utilizam posicionamento de pontos baseado na similaridade do conteúdo, são utilizadas para criar representações visuais de dados que evidenciem certos padrões. Essas técnicas são sensíveis à qualidade dos dados, a qual, por sua vez, depende de uma etapa de pré-processamento muito influente. Esta etapa envolve a limpeza do texto e, em alguns casos, a detecção de termos e seus pesos, bem como a definição de uma função de (dis)similaridade. Poucos são os estudos realizados sobre como esses cálculos de (dis)similaridade afetam a qualidade da

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17

Hlavička, Ladislav. "Dolování asociačních pravidel z datových skladů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-235501.

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This thesis deals with association rules mining over data warehouses. In the first part the reader will be familiarized with terms like knowledge discovery in databases and data mining. The following part of the work deals with data warehouses. Further the association analysis, the association rules, their types and mining possibilities are described. The architecture of Microsoft SQL Server and its tools for working with data warehouses are presented. The rest of the thesis includes description and analysis of the Star-miner algorithm, design, implementation and testing of the application.

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18

Hader, Sören. "Data mining auf multidimensionalen und komplexen Daten in der industriellen Bildverarbeitung." Berlin Pro Business, 2006. http://deposit.d-nb.de/cgi-bin/dokserv?id=2984734&prov=M&dok_var=1&dok_ext=htm.

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Hader, Sören. "Data mining auf multidimensionalen und komplexen Daten in der industriellen Bildverarbeitung /." Berlin : Pro Business, 2007. http://deposit.d-nb.de/cgi-bin/dokserv?id=2984734&prov=M&dok_var=1&dok_ext=htm.

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20

Bandini, Lorenzo. "Progettazione di un sistema di outlier detection per cubi multidimensionali." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/12931/.

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21

Pumprla, Ondřej. "Získávání znalostí z datových skladů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236715.

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This Master's thesis deals with the principles of the data mining process, especially with the mining of association rules. The theoretical apparatus of general description and principles of the data warehouse creation is set. On the basis of this theoretical knowledge, the application for the association rules mining is implemented. The application requires the data in the transactional form or the multidimensional data organized in the Star schema. The implemented algorithms for finding of the frequent patterns are Apriori and FP-tree. The system allows the variant setting of parameters fo

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22

Videla, Cavieres Iván Fernando. "Improvement of recommendation system for a wholesale store chain using advanced data mining techniques." Tesis, Universidad de Chile, 2015. http://repositorio.uchile.cl/handle/2250/133522.

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Magíster en Gestión de Operaciones<br>Ingeniero Civil Industrial<br>En las empresas de Retail, las áreas de Customer Intelligence tienen muchas oportunidades de mejorar sus decisiones estratégicas a partir de la información que podrían obtener de los registros de interacciones con sus clientes. Sin embargo se ha convertido en un desafío poder procesar estos grandes volúmenes de datos. Uno de los problemas que se enfrentan día a día es segmentar o agrupar clientes. La mayoría de las empresas generan agrupaciones según nivel de gasto, no por similitud en sus canastas de compra, como propone la

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23

Andery, Gabriel de Faria. "Integrando projeções multidimensionais à analise visual de redes sociais." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-06102010-111345/.

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Há várias décadas, pesquisadores em ciências sociais buscam formas gráficas para expressar as relações humanas na sociedade. O advento do computador e, mais recentemente, da internet, possibilitou o surgimento de um campo que tem despertado a atenção de estudiosos das áreas de visualização de informação e de ciências sociais, o da visualização de redes sociais. Esse campo tem o potencial de revelar e explorar padrões que podem beneficiar um número muito grande de aplicações e indivíduos em áreas tais como comércio, segurança em geral, redes de conhecimento e pesquisa de mercado. Grande parte d

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Paterlini, Adriano Arantes. "Imersão de espaços métricos em espaços multidimensionais para indexação de dados usando detecção de agrupamentos." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-25042011-155810/.

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O sucesso dos Sistemas de Gerenciamento de Banco de Dados (SGBDs) em aplicações envolvendo dados tradicionais (números e textos curtos) encorajou o seu uso em novos tipos de aplicações, que exigem a manipulação de dados complexos. Séries temporais, dados científicos, dados multimídia e outros são exemplos de Dados Complexos. Inúmeras áreas de aplicação têm demandado soluções para o gerenciamento de dados complexos, dentre as quais a área de informática médica. Dados complexos podem também ser estudos com técnicas de descoberta de conhecimentos, conhecidas como KDD (Knowledge Discovery in Datab

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25

Nagappan, Rajehndra Yegappan. "Mining multidimensional data through compositional visualisation." Phd thesis, 2001. http://hdl.handle.net/1885/146042.

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26

Bjering, Heidi. "A framework for temporal abstractive multidimensional data mining." Thesis, 2008. http://handle.uws.edu.au:8081/1959.7/487616.

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In the industrialised world, premature birth has been recognised as one of the most significant perinatal health issues (Kramer, Platt et al. 1998). In Australia 8.1% of babies are born before 37 weeks gestation (Laws, Abeywardana et al. 2007). Premature babies often have prolonged stays in Neonatal Intensive Care Units (NICUs) and can suffer from a number of different conditions during their stay. Some of these conditions have been shown to exhibit certain variations in their physiological parameters that can indicate the onset of such conditions, before it can be detected by other means. Med

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27

Wu, Chin-Ang, and 吳錦昂. "Towards Intelligent Data Warehouse Mining with Ontology-An Example for Multidimensional Association Rule Mining." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/85562411349734227075.

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博士<br>義守大學<br>資訊工程學系博士班<br>98<br>Multidimensional association mining makes data mining robust because it provides more specific conditional settings of target data for mining. Thus managers can obtain useful knowledge that is close to their need. Data warehousing plays a key role in decision support system by providing knowledge discovery and data mining systems with cleaned and integrated data. In reality, a data warehouse mining system has provided many applicable solutions in industries, such as DBMiner by J. Han’s research group. Yet there still exist problems that cause users extra effor

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Yang, Yi-Bin, and 楊翊彬. "Efficient Workload for Multidimensional and Multilevel Association Rule Mining on Data Cubes." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/b26zfj.

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碩士<br>國立中央大學<br>資訊工程研究所<br>96<br>Association rule mining plays an important role in decision support systems, it finds interesting rules from a huge amount of historical data. In the past when decision support systems used transactional databases as backends, researches focus on the performance improvement for mining association rules. Nowadays, decision support systems often comes with several frontends and a data warehouse as the backend; the frontends send preprocessed user queries and then fetch the requested data from the warehouse while the central data warehouse has to respond a series

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SABAINI, Alberto. "Temporal Data Analysis and Mining. A Multidimensional Approach and its Application in a Medical Domain." Doctoral thesis, 2015. http://hdl.handle.net/11562/911786.

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Il continuo aumento di dati disponibili in tutti i settori sta sollevando il bisogno dei decisori di effettuare sofisticate analisi per fronteggiare l'alta competitività che caraterrizza i giorni nostri. Diversi databases sono necessari per i decisori in modo da poter analizzare il comportamento e stato di un'azienda. Queste sorgenti di dati presentano spesso diversità in formati e contenuti. Integrare queste informazioni è vitale per supportare il processo decisionale. Una delle tecniche per far fronte a queste problematiche è il Data Warehousing. I Data Warehouse possono essere interro

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"A new approach to circular unidimensional scaling." 2002. http://library.cuhk.edu.hk/record=b5891287.

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Li Chi Yin.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2002.<br>Includes bibliographical references (leaves 78-80).<br>Abstracts in English and Chinese.<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Multidimensional Scaling (MDS) --- p.1<br>Chapter 1.2 --- Unidimensional Scaling (UDS) --- p.15<br>Chapter 1.3 --- Circular Unidimensional Scaling (CDS) --- p.17<br>Chapter 1.4 --- The Goodness of fit of models --- p.24<br>Chapter 1.5 --- The admissible transformations of the MDS configuration --- p.26<br>Chapter 2 --- "Computational Methods on MDS, UDS and CDS" --- p.2

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"Visual data mining: Using parallel coordinate plots with K-means clustering and color to find correlations in a multidimensional dataset." KUTZTOWN UNIVERSITY OF PENNSYLVANIA, 2009. http://pqdtopen.proquest.com/#viewpdf?dispub=1462396.

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Cierco, Agliberto Alves. "Uso de sistemas multidimensionais e algoritmos de data mining para implantação do método Time Driven Activity Based Costing (TDABC) em organizações orientadas por projectos." Doctoral thesis, 2015. http://hdl.handle.net/10071/13456.

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JEL: M150 e M410<br>Quando o método ABC (Activity Based Costing) foi apresentado para o rateio de custos de actividades de processos gerenciais, representou uma profunda modificação em relação aos métodos anteriormente utilizados. Logo ficaram patentes as enormes vantagens que trazia assim como os desafios em implementálo. O método TDABC (Time Driven Activity Based Costing) surgiu devido justamente às dificuldades operacionais do uso do ABC. Ao invés do uso de estimativas, normalmente dadas pelo corpo de funcionários da empresa, do percentual de tempo gasto em cada actividade, o TDABC p

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Carvalho, Mariana Reimão Queiroga Valério de. "Enhancing the process of view selection in data cubes using what-If analysis." Doctoral thesis, 2019. http://hdl.handle.net/1822/66886.

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Tese de Doutoramento em Informática<br>To compete in today's society, enterprise managers need to be able to deal with the arising challenges of the competitive market. The increasing competition and the amount of electronic information imply new challenges related to decision-making processes. Collecting relevant information and using Business Intelligence tools are determining factors in decision-making processes and in gaining competitive advantage. However, gathering and storing relevant information may not be enough. The possibility of simulating business hypothetical scenarios coul

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