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Dissertations / Theses on the topic 'Business intelligence,data mining,utility'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Corain, Elisabetta. "Ottimizzazione Percorsi Logistica, modello analitico a supporto delle simulazioni degli impatti di modifica della dislocazione degli impianti." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Il contesto della tesi è quello di un'iniziativa progettuale per una importante realtà italiana dell'ambito utility. In particolare prevede l'analisi, la progettazione e l'implementazione di un modello analitico a supporto delle simulazioni degli impatti di modifica della dislocazione degli impianti utilizzati per il conferimento di rifiuti. La realizzazione di questo modello consentirà di effettuare simulazioni 'self-service' sui possibili impatti economici derivanti da una diversa dislocazione (o una diversa attribuzione) dei punti di conferimento dei rifiuti, attraverso la selezione di alcu

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Flory, Long Mrs. "A WEB PERSONALIZATION ARTIFACT FOR UTILITY-SENSITIVE REVIEW ANALYSIS." VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/3739.

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Online customer reviews are web content voluntarily posted by the users of a product (e.g. camera) or service (e.g. hotel) to express their opinions about the product or service. Online reviews are important resources for businesses and consumers. This dissertation focuses on the important consumer concern of review utility, i.e., the helpfulness or usefulness of online reviews to inform consumer purchase decisions. Review utility concerns consumers since not all online reviews are useful or helpful. And, the quantity of the online reviews of a product/service tends to be very large. Manual as

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3

Dzimko, Miroslav. "Řešení Business Intelligence." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-318585.

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Diploma thesis presents an evaluation of the current state of the company system, identification of critical areas and areas suitable for improvement. Based on the theoretical knowledge and analysis results, commercial Business Intelligence software is designed to enhance the quality and efficiency of the company's decision-support system and the introduction of an advanced Quality Culture system. The thesis reveals critical locations in the corporate environment and opens up space to design improvements to the system.

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4

Eggert, Sandy, and Juliane Meier. "Business Intelligence : Lösungen im Überblick." Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4449/.

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5

Schieber, Andreas, and Andreas Hilbert. "Status Quo der Textanalyse im Rahmen der Business Intelligence." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-138447.

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Vor dem Hintergrund der Zunahme unstrukturierter Daten für Unternehmen befasst sich dieser Beitrag mit den Möglichkeiten, die durch den Einsatz der Business Intelligence für Unternehmen bestehen, wenn durch gezielte Analyse die Bedeutung dieser Daten erfasst, gefiltert und ausgewertet werden können. Allgemein ist das Ziel der Business Intelligence die Unterstützung von Entscheidungen, die im Unternehmen (auf Basis strukturierter Daten) getroffen werden. Die zusätzliche Auswertung von unstrukturierten Daten, d.h. unternehmensinternen Dokumenten oder Texten aus dem Web 2.0, führt zu einer Vergrö

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6

Kříž, Jan. "Business Intelligence řešení pro společnost 1188." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2015. http://www.nusl.cz/ntk/nusl-224859.

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Cílem této diplomové práce je vytvoření Business Intelligence řešení pro společnost 1188. Na základě výsledného Business Intelligence řešení bude umožněno managementu společnosti vykonávat přesnější rozhodnutí, která se budou shodovat se strategií společnosti.

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Štefke, Martin. "Využitie techník a princípov data miningu v rámci business intelligence riešenia." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-359131.

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This thesis is focused on using data mining in Business Intelligence solution. The goal of this thesis is implementation of data mining in Business Intelligence solution. Integration of these technologies is posible to obtain synergic effect. The thesis is made in context of academic project Farfalia and results are used in the project. The goal of project is to create component for a new form of reporting and that is using data mining as a tool for data analysis. The benefit of the implementation is automatic browsing of multidimensional data cube / multidimensional data model to find interes

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8

Bergvall, Jacob. "Business Intelligence : En inblick i relationen mellan tillgänglig data och hur den används inom marknadsföring." Thesis, Linköpings universitet, Filosofiska fakulteten, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139450.

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Oavsett vilken bransch ett företag tillhör finns idag stora möjligheter att samla in data relaterad till företagets kunder, processer, varor och tjänster. Om man har resurser och intresse finns oanade möjligheter att ta tillvara på all data, analysera den och sedan använda den för att vidareutveckla och optimera företaget. Syftet med denna uppsats är att undersöka vilka utmaningar som finns när det kommer till att använda lagrad data inom Business Intelligence, samt att undersöka vilka faktorer som påverkar processen att omvandla lagrad data till användbar information som sedan kan användas vi

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9

Ahmad, Yasmeen. "Management, visualisation & mining of quantitative proteomics data." Thesis, University of Dundee, 2012. https://discovery.dundee.ac.uk/en/studentTheses/6ed071fc-e43b-410c-898d-50529dc298ce.

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Exponential data growth in life sciences demands cross discipline work that brings together computing and life sciences in a usable manner that can enhance knowledge and understanding in both fields. High throughput approaches, advances in instrumentation and overall complexity of mass spectrometry data have made it impossible for researchers to manually analyse data using existing market tools. By applying a user-centred approach to effectively capture domain knowledge and experience of biologists, this thesis has bridged the gap between computation and biology through software, PepTracker (h

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10

Schmied, Marten. "Business Intelligence in Healthcare - Data Mining Techniques as a Possible Hospital Management Tool in Austria." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-264283.

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Public healthcare provision is under increasing economic restraints making an efficient and sustainable managerial planning a necessity in the hospital sector. Business Intelligence is the extraction of business relevant knowledge in order to adjust and refine executive operations. On the free market industries have applied the according methods and software dedicated to the generation of Business Intelligence is offered by variety of companies. Data Mining, furthermore, describes the facilitation of algorithms in order to train programs to detect unseen patterns from huge amounts of data. The

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11

Polańska, Julia, and Michał Zyznarski. "Elaboration of a method for comparison of Business Intelligence Systems which support data mining process." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2078.

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Business Intelligence Systems are becoming more and more popular in recent years. It is caused by the need of reusing data in order to gain some potentially useful business information about. Those systems are advanced set of tools, which causes high prices of purchase and licensing. Therefore, it is important to choose the system which fits the best particular business needs. The aim of this thesis is to elaborate a method for comparison of existing Business Intelligence Systems that are supporting data mining. The method consist of a quality model, build according to existing standards, and

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12

Marques, Valmir Ferreira. "Analisando os dados do programa de melhoramento genético da raça nelore com data warehousing e data mining." Universidade de São Paulo, 2002. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-28022003-161537/.

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A base de dados do Programa de Melhoramento Genético da Raça Nelore está crescendo consideravelmente, com isso, a criação de um ambiente que dê apoio à análise dos dados do Programa é de fundamental importância. As tecnologias que são utilizadas para a criação de um ambiente analítico são os processos de Data Warehousing e de Data Mining. Neste trabalho, foram construídos um Data Warehouse e consultas OLAP para fornecer visões multidimensionais dos dados. Além das análises realizadas com as consultas, também foi utilizada uma ferramenta de Data Mining Visual. O ambiente analítico desenvolvido

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Machat, Sebastian. "Implementace Business Intelligence řešení nad daty z provozu parkoviště." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-358773.

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In the world of increasing car sales and limited count of available parking spaces it is hard to imagine the parking space management issues would fade away anytime near. In a simi-lar way the Business Intelligence holds its position as one of the continuous trends in company IT environment. After the parking space navigation systems started to make its first appearance into the public parking lots, it started to be clear that their outputs could be potentially used to gain new information about the way the drivers behave and how the parking space is being used. That is the reason this thesis

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14

Besson, Henrik. "Konsulters beskrivning av Big Data och dess koppling till Business Intelligence." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-22747.

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De allra flesta av oss kommer ständigt i kontakt med olika dataflöden vilket har blivit en helt naturlig del av vårt nutida informationssamhälle. Dagens företag agerar i en ständigt föränderlig omvärld, och hantering av data och information har blivit en allt viktigare konkurrensfaktor. Detta i takt med att den totala datamängden i den digitala världen har ökat kraftigt de senaste åren. En benämning för gigantiska datamängder är Big Data, som har blivit ett populärt begrepp inom IT-branschen. Big Data kommer med helt nya analysmöjligheter, men det har visat sig att många företag är oroliga för

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15

Decker, Sebastian. "Data-driven business process improvement : An illustrative case study about the impacts and success factors of business process mining." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-43958.

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The current business environment is rapidly and fundamentally changing. The main driver are digital technologies. Companies face the pressure to exploit those technologies to improve their business processes in order to achieve competitive advantage. In the light of increased complexity of business processes and the existence of corporate Big Data stored in information systems, the discipline of process mining has emerged. Investigate how process mining can support the optimization of business processes. In this qualitative study, an illustrative case study research is utilized involving eight

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Stryka, Lukáš. "Návrh využití nástrojů Business Intelligence pro potřeby malé firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2008. http://www.nusl.cz/ntk/nusl-221664.

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This Diploma Thesis deals with analysis of the current processes in small software company. On the basis of the weakness evaluation, the new extensions of the information system are designed. The first extension is new module for on-line sale and cashless on-line payment. The second one is integration of Business Intelligence tools to help streamline marketing strategies of this company.

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Hanuš, Václav. "Využití principů business intelligence v dotazníkových šetřeních." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-72526.

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This thesis is oriented on practical usage of tools for data mining and business intelligence. Main goals are processing of source data to suitable form and test use of chosen tool on the test case. As input data I used database which was created as result of processing forms from research to verify the level of IT and economics knowledge among Czech universities. These data was modified into the form, which allows processing them via data mining tools included in Microsoft SQL Server 2008. I choose two cases for verification the potentials of these tools. First case was focused on clustering

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Janata, Michal. "Využití Business Intelligence pro hledání závislostí v dotazníkových šetřeních." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2012. http://www.nusl.cz/ntk/nusl-223399.

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This master’s thesis is focused on creating an application for survey analysis. In the first section are theoretical foundations of a direct marketing and Business Intelligence. The next chapter focuses on available tools for data analysis and BI. Analysis and preparation of input data are also included in this part. Finally, the solution proposal is presented.

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Issa, Carla Mounir. "Data warehouse applications in modern day business." CSUSB ScholarWorks, 2002. https://scholarworks.lib.csusb.edu/etd-project/2148.

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Data warehousing provides organizations with strategic tools to achieve the competitive advantage that organazations are constantly seeking. The use of tools such as data mining, indexing and summaries enables management to retrieve information and perform thorough analysis, planning and forcasting to meet the changes in the market environment. in addition, The data warehouse is providing security measures that, if properly implemented and planned, are helping organizations ensure that their data quality and validity remain intact.

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Řehout, Michal. "Self Service Business Intelligence - návrh dostupného BI řešení pro malé společnosti v oblasti on-line prodeje." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-192412.

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The thesis analyzes and proposes stance on how to implement self-service Business Intelligence solution in a company involved in online marketing. Analysis is focused on data sources, information needs in the company and research of suitable product to be implemented. Goal of the thesis is, based on the performed analysis, to propose actions needed for a successful implementation, and to demonstrate opportunities, that such an implementation may provide to the company.

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Erkayaoğlu, Mustafa. "A Data Driven Mine-To-Mill Framework For Modern Mines." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/579114.

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Mine to Mill optimization is considered as a key concept for metal mining recently. Targeting operational best practices on a highly varying environment is challenging. Impact of underperformed basic operations such as drilling and blasting will sustain this inefficiency in mineral processing. Data provided for each of these operations from software and hardware utilized on field reached a level where advanced data analytics becomes applicable. In order to represent the operations as close to reality, an integrated layer of data where transactional and process based data lives is crucial. Data

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Fabian, Jaroslav. "Využití technik Data Mining v různých odvětvích." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224335.

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This master’s thesis concerns about the use of data mining techniques in banking, insurance and shopping centres industries. The thesis theoretically describes algorithms and methodology CRISP-DM dedicated to data mining processes. With usage of theoretical knowledge and methods, the thesis suggests possible solution for various industries within business intelligence processes.

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Firsov, Vitaly. "Big Data a jejích potenciál pro bankovní sektor." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-165114.

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In this thesis, I want to explore present (y. 2012/2013) modern trends in Business Intelligence and focus specifically on the rapidly evolving and, in my (and not only) opinion, a very perspective area of analysis and use of Big Data in large enterprises. The first, introductory part contains general information and the formal conditions as aims of the work, on whom the work is oriented and where it could be used. Then there are described inputs and outputs, structure, methods to achieve the objectives, potential benefits and limitations in this part. Because at the same time I work as a data

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Castellano, Mattia. "Business Process Management e tecniche per l'applicazione del Process Mining. Il caso Università degli Studi di Parma." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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In un mondo in cui l'apertura di nuovi mercati e l'introduzione di nuove tecnologie genera continuamente nuove opportunità, le aziende devono sempre più imparare ad adattarsi e a gestire il cambiamento. Con la diffusione del Process Thinking le organizzazioni iniziano a rendere propri concetti quali processi, attività, eventi, flussi, cambiamento e sviluppo. E' in questo scenario che nascono discipline orientate al cambiamento organizzativo e miglioramento dei processi aziendali, come il Business Process Re-engineering (BPR) e il Business Process Management (BPM). L'aumento della tecnologia e

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Landi, Daniele. "Analisi delle abitudini di acquisto nel settore moda mediante tecniche di data mining." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/4540/.

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Rogers, William Pratt. "Formal Assessment and Measurement of Data Utilization and Value for Mines." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/594674.

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Most large contemporary mines already have considerable amounts of data, much of which goes largely unused. The key challenge in big data is increasing data utilization. Much of the data in the mine (not plant) come from a variety of systems, each with different databases and reporting environments. Standard technology deployments create a "silo-ification" of data leading to poor system usage. Through modern server monitoring, data utilization can quantifiably be measured. A host of other quantifiable, often automated approaches, to measuring data use and value can also be incorporated as a me

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Kongthon, Alisa. "A text mining framework for discovering technological intelligence to support science and technology management." Diss., Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-04052004-162415/unrestricted/kongthon%5Falisa%5F200405%5Fphd.pdf.

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Thesis (Ph. D.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2004.<br>Zhu, Donghua, Committee Member ; Cozzens, Susan, Committee Member ; Huo, Xiaoming, Committee Member ; Porter, Alan, Committee Chair ; Lu, Jye-Chyi, Committee Member. Vita. Includes bibliographical references (leaves 191-195).

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Vítek, Pavel. "Business Intelligence analýza podnikání v lékárně Alfa ve městě Nymburk." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-72466.

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This thesis deals with the theme of business analysis of real company -- pharmacy, running a business in market environment of the city of Nymburk. Main focus is on research of actual position of the pharmacy in the local market in context of a new competitor entering the market. The whole thesis is divided into two consistent parts: The first part is a short theoretical introduction to the methods used and general background of the market in the city of Nymburk. The following practical part analyzes business of the company and development of sales of over-the-counter medicine in context of a

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Pietrobon, Alberto, and Abraham Bamidele Sunday Ogunmakinwa. "Business Intelligence and Customer Relationship Management: a Direct Support to Product Development Teams." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Informatik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-15473.

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For manufacturing firms, having knowledge about customers is very important, in particular for the developers and designers of new products. A way in which software can help to build an information channel between the customers and the firm is through Customer Relationship Management (CRM) and Business Intelligence (BI) solutions. Customers’ data are captured into the Customer Relationship Management solution while Business Intelligence analyses them and provide clear processed information to the developers and designers of new products. In this study we have researched if this process occurs

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Silva, Jóni. "Projeto de extração e descoberta de conhecimento para suporte a políticas de saúde pública no domínio alimentar." Master's thesis, Instituto Politécnico de Leiria, 2012. http://hdl.handle.net/10400.8/1340.

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Dissertação apresentado à Escola Superior de Tecnologia e Gestão do IPL para obtenção do grau de Mestre em Engenharia Informática - Computação Móvel, orientada pelo Doutor Vítor Basto Fernandes.<br>O principal objetivo desta dissertação consiste em desenvolver um sistema de apoio à decisão que visa fornecer informação acerca dos padrões de consumo alimentar da população do Instituto Politécnico de Leiria e que tem como base a informação registada nos pontos de venda ao longo dos últimos anos. Para atingir o propósito proposto são utilizadas técnicas para extração de informação útil em grandes

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Eigert, Henrik. "Extending the opinion integration model." Thesis, Högskolan i Skövde, Institutionen för kommunikation och information, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-6111.

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Internet holds large amounts of data. This data is in many cases unstructured. The information is there, the problem is how to structure it so that we can quantify the data and save it in a database. Yaakub et al (2011) proposes a model (Opinion Integration Model) for structuring product reviews written by customers or opinion mining. This method is in many ways a complete base for structuring this type of data but it lacks a way of creating the ontology that creates a common language for how to interpret what the customers are talking about. This is were this paper enters the picture. This pa

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Lucchetta, Linda. "La Business Intelligence per il monitoraggio delle vendite: il caso Ducati Motor Holding." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11733/.

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“La Business Intelligence per il monitoraggio delle vendite: il caso Ducati Motor Holding”. L’obiettivo di questa tesi è quello di illustrare cos’è la Business Intelligence e di mostrare i cambiamenti verificatisi in Ducati Motor Holding, in seguito alla sua adozione, in termini di realizzazione di report e dashboard per il monitoraggio delle vendite. L’elaborato inizia con una panoramica generale sulla storia e gli utilizzi della Business Intelligence nella quale vengono toccati i principali fondamenti teorici: Data Warehouse, data mining, analisi what-if, rappresentazione multidimensiona

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Minár, Tomáš. "Detekce pojistných podvodů." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2012. http://www.nusl.cz/ntk/nusl-223691.

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This thesis focuses on the area of detection of potential insurance frauds by using Business Intelligence (BI) and its practical application to real data of compulsory and accident insurance. It describes the basic concepts of insurance business, the individual layers of BI architecture, and a detailed description of the implementation process from data transformation through the use of advanced analytical methods to the presentation of acquired information.

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Fortulan, Marcos Roberto. "O uso de business intelligence para gerar indicadores de desempenho no chão-de-fábrica: uma proposta de aplicação em uma empresa de manufatura." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/18/18145/tde-11062006-185813/.

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A evolução pela qual passou o chão-de-fábrica no último século transformou-o numa área estratégica para as empresas, por meio da qual é possível atender e satisfazer as necessidades dos seus clientes. Esse novo chão-de-fábrica gera hoje uma grande quantidade de dados nos controles do seu processo produtivo, os quais, em muitos casos, após seu uso imediato ou de curto prazo, acabam descartados ou armazenados inadequadamente, impossibilitando ou dificultando seu acesso. Esses dados, no entanto, podem vir a ter uma importante utilidade como matéria-prima para a geração de informações úteis à gest

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Aronsson, Henrik. "Modeling strategies using predictive analytics : Forecasting future sales and churn management." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167130.

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This project was carried out for a company named Attollo, a consulting firm specialized in Business Intelligence and Corporate Performance Management. The project aims to explore a new area for Attollo, predictive analytics, which is then applied to Klarna, a client of Attollo. Attollo has a partnership with IBM, which sells services for predictive analytics. The tool that this project is carried out with, is a software from IBM: SPSS Modeler. Five different examples are given of what and how the predictive work that was carried out at Klarna consisted of. From these examples, the different pr

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Hansson, Sandra. "Is Self-Service Business Intelligence a hoax? : A descriptive study of casual users’ independence using SSBI in the data mining process." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-106081.

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When using Business Intelligence (BI), organizations can improve decision-making bycompiling, understanding and utilizing the data held by the organization. Self-serviceBusiness Intelligence (SSBI) has emerged as a new focus within BI and aims to make BI tools available to business users, and relieve IT-experts involvement of in ad hoc reporting andanalysis. The aim of this research is to examine challenges of casual users being self-reliant when using SSBI tools, and the way they are using them in the data mining process. This wasdone through a qualitative study, interviewing seven individual

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Lin, Leonard. "Concept of an analytic service product development approach for the individualised mass." St. Gallen, 2006. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/03602893001/$FILE/03602893001.pdf.

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Knuth, Tobias. "Fraud prevention in the B2C e-Commerce mail order business : a framework for an economic perspective on data mining." Thesis, Edinburgh Napier University, 2018. http://researchrepository.napier.ac.uk/Output/1256175.

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A remarkable gap exists between the financial impact of fraud in the B2C e-commerce mail order business and the amount of research conducted in this area — whether it be qualitative or quantitative research about fraud prevention. Projecting published fraud rates of only approx. one percent to e-commerce sales data, the affected sales volume amounts to $651 million in the German market, and in the North American market, the volume amounts to $5.22 billion; empirical data, however, indicate even higher fraud rates. Low profit margins amplify the financial damage caused by fraudulent activities.

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Diaz, Solis David Alejandro. "Financial market monitoring and surveillance systems framework : a service systems and business intelligence approach." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/financial-market-monitoring-and-surveillance-systems-frameworka-service-systems-and-business-intelligence-approach(47e568f8-3024-4ca3-8114-5d183be3edb8).html.

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The thesis introduces a framework for analysing market monitoring and surveillance systems in order to provide a common foundation for researchers and practitioners to specify, design, implement, compare and evaluate such systems. The proposed framework serves as a reference map for researchers and practitioners to position their work in the context of market monitoring and surveillance, resulting in a useful instrument for the analysis, testing and management of such systems. More specifically, the thesis examines the new requirements for the operation of financial markets, the role of techno

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Trávníček, Petr. "Aplikace data miningu v podnikové praxi." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-164048.

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Throughout last decades, knowledge discovery from databases as one of the information and communicaiton technologies' disciplines has developed into its current state being showed increasing interest not only by major business corporates. Presented diploma thesis deals with problematique of data mining while paying prime attention to its practical utilization within business environment. Thesis objective is to review possibilities of data mining applications and to decompose implementation techniques focusing on specific data mining methods and algorithms as well as adaptation of business proc

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Valério, Rafael Mendonça. "Projecto de data mining e modelação preditiva na TAP Portugal : relatório de estágio." Master's thesis, Instituto Superior de Economia e Gestão, 2014. http://hdl.handle.net/10400.5/8342.

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Mestrado em Gestão de Sistemas de Informação<br>Este relatório de estágio dá a conhecer a importância que as ferramentas de análise preditiva como o data mining e a modelação preditiva têm para o sistema de Business Intelligence de uma organização. No caso concreto, tem-se como objeto de trabalho o sistema de gestão de receitas de uma companhia aérea portuguesa que nele identificou uma oportunidade de otimização. O projeto realizado teve como foco a implementação de uma componente de data mining que permitisse antecipar a receita relativa a bilhetes comprados mas não utilizados, geradora de

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Perugini, Leonardo. "Progettazione di un sistema di "Data Visualization" per l'analisi dei clienti in ambito Telecomunicazioni." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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In ambito aziendale, il valore dei processi di estrazione di conoscenza dai dati è in forte crescita grazie all’adozione di tecnologie e metodologie capaci di immagazzinare volumi molto estesi di informazioni. L’utilizzo di questi sistemi, vicini all’ambito del Data Mining, consente di condurre delle avanzate attività analitiche sui dati di business relativi a vari processi di produzione, vendita e gestione di imprese e altre organizzazioni. Le informazioni estraibili da queste analisi possono agevolare i processi decisionali, migliorando la competitività delle aziende che investono in queste

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Grilo, Júnior Tarcísio Ferreira. "Aplicação de técnicas de Data Mining para auxiliar no processo de fiscalização no âmbito do Tribunal de Contas do Estado da Paraíba." Universidade Federal da Paraíba, 2010. http://tede.biblioteca.ufpb.br:8080/handle/tede/5238.

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Made available in DSpace on 2015-05-08T14:53:30Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 2082485 bytes, checksum: 0c5cd714d0a43bac80888cfc1dd4e7cb (MD5) Previous issue date: 2010-09-03<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>This search has as goal to validate the hypothesis of the applicability of data mining techniques in Bidding and Contracts database managed by the Account Court of Paraiba State, enabling the generation of rules and discovery of hidden knowledge or implicit, contributing to the process of decision making, supervision and celerity in this

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Ondruš, Erik. "Využití data miningu v personální agentuře." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-316714.

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This master’s thesis will look into the use of data mining in the area of segmentation and the prediction of onboarding candidates of a recruitment agency. The obtained results should serve to make company processes more effective concerning the processing of orders, and should also facilitate a more personal approach to candidates. The first chapter includes imperetive theoretical bases from the studies of Business Intelligence, data warehouses, data mining and marketing. Thereafter an analysis of the current state is presented with a focus on the capture of the key processes in processing an

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Borges, Vanessa Araujo. "Definição de um modelo de referência de dados educacionais para a descoberta de conhecimento." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-09112018-103702/.

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Sistemas educacionais possuem diversas funcionalidades capazes de apoiar a interação entre alunos e professores de maneira dinâmica, síncrona e assíncrona. Uma das formas de monitorar a eficácia do processo educacional e por meio da utilização dos dados armazenados nesses sistemas como fonte de informação. Pesquisas em Learning Analytics, Academic Analytics e Mineração de Dados Educacionais, buscam explorar os dados de sistemas educacionais utilizando processamento analítico e técnicas de mineração de dados. No entanto, há uma serie de fatores que dificultam a gestão eficiente do processo educ

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Henčelová, Katarína. "Analýza dát z webovej prezentácie v softwarovej firme." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-201693.

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This thesis looks into problematic of data originating from visits of a company websites. It is partly devoted to web analytics and Business Intelligence. The aim was to create a tool for transforming and saving these data, their analysis and reporting. The product of this thesis was created for a management of a company specifically by their requests. It was made to support managerial decisions in creating a successful web strategy.

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Widehammar, Per, and Robin Langell. "BIOMA : En modell för att bedöma en organisations BI-mognad ur ett multidimensionellt perspektiv." Thesis, Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-59872.

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Den ökade globaliseringen och senaste finanskrisen ställer höga krav på uppföljning och medvetenhet av ett företags prestation. Business Intelligence (BI) är ett område vars syfte är att förbättra en organisations prestation genom analys av historisk data. BI är ett komplext område som inte bara handlar om tekniska lösningar, även om det är en förutsättning. För närvarande investeras det mycket i olika BI-lösningar och företagen behöver veta vad resurserna bör läggas på. I dagsläget finns det ingen modell som bedömer ett företags arbete med Business Intelligence utifrån ett flertal dimensioner

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Mašek, Martin. "Datové sklady - principy, metody návrhu, nástroje, aplikace, návrh konkrétního řešení." Master's thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-10145.

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The main goal of this thesis is to summarize and introduce general theoretical concepts of Data Warehousing by using the systems approach. The thesis defines Data Warehousing and its main areas and delimitates Data Warehousing area in terms of higher-level area called Business Intelligence. It also describes the history of Data Warehousing & Business Intelligence, focuses on key principals of Data Warehouse building and explains the practical applications of this solution. The aim of the practical part is to perform the evaluation of theoretical concepts. Based on that, design and build Data W

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Younis, Zaki Mohamed. "An ontological approach for monitoring and surveillance systems in unregulated markets." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/an-ontological-approach-for-monitoring-and-surveillance-systems-in-unregulated-markets(056f8010-08b2-4eb0-a75d-5301b899ec90).html.

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Ontologies are a key factor of Information management as they provide a common representation to any domain. Historically, finance domain has suffered from a lack of efficiency in managing vast amounts of financial data, a lack of communication and knowledge sharing between analysts. Particularly, with the growth of fraud in financial markets, cases are challenging, complex, and involve a huge volume of information. Gathering facts and evidence is often complex. Thus, the impetus for building a financial fraud ontology arises from the continuous improvement and development of financial market

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Maita, Ana Rocío Cárdenas. "Um estudo da aplicação de técnicas de inteligência computacional e de aprendizado em máquina de mineração de processos de negócio." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/100/100131/tde-22012016-155157/.

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Mineração de processos é uma área de pesquisa relativamente recente que se situa entre mineração de dados e aprendizado de máquina, de um lado, e modelagem e análise de processos de negócio, de outro lado. Mineração de processos visa descobrir, monitorar e aprimorar processos de negócio reais por meio da extração de conhecimento a partir de logs de eventos disponíveis em sistemas de informação orientados a processos. O principal objetivo deste trabalho foi avaliar o contexto de aplicação de técnicas provenientes das áreas de inteligência computacional e de aprendizado de máquina, incluindo red

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