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Dissertations / Theses on the topic 'KDD (Knowledge Discovery in Database)'

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Published: 3 June 2025

Last updated: 20 July 2025

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1

Storti, Emanuele. "KDD process design in collaborative and distributed environments." Doctoral thesis, Università Politecnica delle Marche, 2012. http://hdl.handle.net/11566/242061.

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Il termine Knowledge Discovery in Databases (KDD) si riferisce al processo di scoperta di conoscenza all'interno di grandi volumi di dati, per mezzo di specifici algoritmi. L'applicazione di tali tecniche a contesti organizzativi reali risulta oggi ancora limitata, principalmente a causa della complessità nella configurazione degli algoritmi di analisi dei dati e nella difficoltà nella gestione/esecuzione dei processi di KDD, che impone spesso di far riferimento a contesti di computazione distribuita ed alla interazione tra diversi utenti, tra i quali specialisti con competenze tecniche ed esp

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Storopoli, José Eduardo. "O uso do Knowledge Discovery in Database (KDD) de informações patentárias sobre ensino a distância: contribuições para instituições de ensino superior." Universidade Nove de Julho, 2016. http://bibliotecatede.uninove.br/handle/tede/1517.

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Submitted by Nadir Basilio (nadirsb@uninove.br) on 2016-09-01T19:37:54Z No. of bitstreams: 1 José Eduardo Storopoli.pdf: 3248722 bytes, checksum: c6f49ec5728d3ca3b10f36aa03c94865 (MD5)<br>Made available in DSpace on 2016-09-01T19:37:54Z (GMT). No. of bitstreams: 1 José Eduardo Storopoli.pdf: 3248722 bytes, checksum: c6f49ec5728d3ca3b10f36aa03c94865 (MD5) Previous issue date: 2016-04-14<br>Distance learning (DL) has a long history of success and failures, and has existed for at least since the end of the XVIII century. Higher education DL began in Brazil during 1994, having the expansion

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Huynh, Xuan-Hiep. "Interestingness Measures for Association Rules in a KDD Process : PostProcessing of Rules with ARQAT Tool." Phd thesis, Université de Nantes, 2006. http://tel.archives-ouvertes.fr/tel-00482649.

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This work takes place in the framework of Knowledge Discovery in Databases (KDD), often called "Data Mining". This domain is both a main research topic and an application ¯eld in companies. KDD aims at discovering previously unknown and useful knowledge in large databases. In the last decade many researches have been published about association rules, which are frequently used in data mining. Association rules, which are implicative tendencies in data, have the advantage to be an unsupervised model. But, in counter part, they often deliver a large number of rules. As a consequence, a postproce

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Ribeiro, Lamark dos Santos. "Uma abordagem semântica para seleção de atributos no processo de KDD." Universidade Federal da Paraíba, 2010. http://tede.biblioteca.ufpb.br:8080/handle/tede/6048.

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Made available in DSpace on 2015-05-14T12:36:27Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 2925122 bytes, checksum: e65ad4a8f7ca12fb8a90eaf2a8783d65 (MD5) Previous issue date: 2010-08-27<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Currently, two issues of great importance for the computation are being used together in an increasingly apparent: a Knowledge Discovery in Databases (KDD) and Ontologies. By developing the ways in which data is stored, the amount of information available for analysis has increased exponentially, making it necessary techniques to analyze d

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Scarinci, Rui Gureghian. "SES : sistema de extração semântica de informações." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 1997. http://hdl.handle.net/10183/18398.

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Entre as áreas que mais se desenvolvem na informática nos últimos anos estão aquelas relacionadas ao crescimento da rede Internet, que interliga milhões de usuários de todo o mundo. Esta rede disponibiliza aos usuários uma a enorme variedade e quantidade de informações, principalmente dados armazenados de forma não estruturada ou semi estruturada. Contudo, tal volume e heterogeneidade acaba dificultando a manipulação dos dados recuperados a partir da Internet. Este problema motivou o desenvolvimento deste trabalho. Mesmo com o auxílio de várias ferramentas de pesquisa na Internet, buscando rea

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Oliveira, Robson Butaca Taborelli de. "O processo de extração de conhecimento de base de dados apoiado por agentes de software." Universidade de São Paulo, 2000. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-23092001-231242/.

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Os sistemas de aplicações científicas e comerciais geram, cada vez mais, imensas quantidades de dados os quais dificilmente podem ser analisados sem que sejam usados técnicas e ferramentas adequadas de análise. Além disso, muitas destas aplicações são voltadas para Internet, ou seja, possuem seus dados distribuídos, o que dificulta ainda mais a realização de tarefas como a coleta de dados. A área de Extração de Conhecimento de Base de Dados diz respeito às técnicas e ferramentas usadas para descobrir automaticamente conhecimento embutido nos dados. Num ambiente de rede de computadores, é mais

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Moretti, Caio Benatti. "Análise de grandezas cinemáticas e dinâmicas inerentes à hemiparesia através da descoberta de conhecimento em bases de dados." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/18/18149/tde-13062016-184240/.

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Em virtude de uma elevada expectativa de vida mundial, faz-se crescente a probabilidade de ocorrer acidentes naturais e traumas físicos no cotidiano, o que ocasiona um aumento na demanda por reabilitação. A terapia física, sob o paradigma da reabilitação robótica com serious games, oferece maior motivação e engajamento do paciente ao tratamento, cujo emprego foi recomendado pela American Heart Association (AHA), apontando a mais alta avaliação (Level A) para pacientes internados e ambulatoriais. No entanto, o potencial de análise dos dados coletados pelos dispositivos robóticos envolvidos é po

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Schneider, Luís Felipe. "Aplicação do processo de descoberta de conhecimento em dados do poder judiciário do estado do Rio Grande do Sul." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2003. http://hdl.handle.net/10183/8968.

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Para explorar as relações existentes entre os dados abriu-se espaço para a procura de conhecimento e informações úteis não conhecidas, a partir de grandes conjuntos de dados armazenados. A este campo deu-se o nome de Descoberta de Conhecimento em Base de Dados (DCBD), o qual foi formalizado em 1989. O DCBD é composto por um processo de etapas ou fases, de natureza iterativa e interativa. Este trabalho baseou-se na metodologia CRISP-DM . Independente da metodologia empregada, este processo tem uma fase que pode ser considerada o núcleo da DCBD, a “mineração de dados” (ou modelagem conforme CRIS

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9

Howard, Craig M. "Tools and techniques for knowledge discovery." Thesis, University of East Anglia, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368357.

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Kerdprasop, Kittisak. "Active Database Rule Set Reduction by Knowledge Discovery." NSUWorks, 1999. http://nsuworks.nova.edu/gscis_etd/631.

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The advent of active databases enhances the functionality of conventional passive databases. A large number of applications benefit from the active database systems because of the provision of the powerful active rule language and rule processing algorithm. With the power of active rules, data manipulation operations can be executed automatically when certain events occur and certain conditions are satisfied. Active rules can also impose unique and consistent constraints on the database, independent of the applications, such that no application can violate. The additional database functionalit

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11

Prášil, Zdeněk. "Využití data miningu v řízení podniku." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-150279.

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The thesis is focused on data mining and its use in management of an enterprise. The thesis is structured into theoretical and practical part. Aim of the theoretical part was to find out: 1/ the most used methods of the data mining, 2/ typical application areas, 3/ typical problems solved in the application areas. Aim of the practical part was: 1/ to demonstrate use of the data mining in small Czech e-shop for understanding of the structure of the sale data, 2/ to demonstrate, how the data mining analysis can help to increase marketing results. In my analyses of the literature data I found dec

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Ghoorah, Anisah W. "Extraction de connaissances pour la modélisation tri-dimensionnelle de l'interactome structural." Thesis, Université de Lorraine, 2012. http://www.theses.fr/2012LORR0204/document.

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L'étude structurale de l'interactome cellulaire peut conduire à des découvertes intéressantes sur les bases moléculaires de certaines pathologies. La modélisation par homologie et l'amarrage de protéines ("protein docking") sont deux approches informatiques pour modéliser la structure tri-dimensionnelle (3D) d'une interaction protéine-protéine (PPI). Des études précédentes ont montré que ces deux approches donnent de meilleurs résultats quand des données expérimentales sur les PPIs sont prises en compte. Cependant, les données PPI ne sont souvent pas disponibles sous une forme facilement acces

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Ghoorah, Anisah W. "Extraction de connaissances pour la modélisation tri-dimensionnelle de l'interactome structural." Electronic Thesis or Diss., Université de Lorraine, 2012. http://www.theses.fr/2012LORR0204.

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L'étude structurale de l'interactome cellulaire peut conduire à des découvertes intéressantes sur les bases moléculaires de certaines pathologies. La modélisation par homologie et l'amarrage de protéines ("protein docking") sont deux approches informatiques pour modéliser la structure tri-dimensionnelle (3D) d'une interaction protéine-protéine (PPI). Des études précédentes ont montré que ces deux approches donnent de meilleurs résultats quand des données expérimentales sur les PPIs sont prises en compte. Cependant, les données PPI ne sont souvent pas disponibles sous une forme facilement acces

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Xie, Tian. "Knowledge discovery and machinelearning for capacity optimizationof Automatic Milking RotarySystem." Thesis, KTH, Kommunikationsteori, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-199630.

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Dairy farming as one part of agriculture has thousands of year’s history. The increasingdemands of dairy products and the rapid development of technology bring dairyfarming tremendous changes. Started by first hand milking, dairy farming goes throughvacuum bucket milking, pipeline milking, and now parlors milking. The automatic andtechnical milking system provided farmer with high-efficiency milking, effective herdmanagement and above all booming income.DeLaval Automatic Milking Rotary (AMRTM) is the world’s leading automatic milkingrotary system. It presents an ultimate combination of technol

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15

Sun, Xingzhi. "Knowledge discovery in long temporal event sequences /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18601.pdf.

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Grissa, Dhouha. "Etude comportementale des mesures d'intérêt d'extraction de connaissances." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2013. http://tel.archives-ouvertes.fr/tel-01023975.

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La recherche de règles d'association intéressantes est un domaine important et actif en fouille de données. Puisque les algorithmes utilisés en extraction de connaissances à partir de données (ECD), ont tendance à générer un nombre important de règles, il est difficile à l'utilisateur de sélectionner par lui même les connaissances réellement intéressantes. Pour répondre à ce problème, un post-filtrage automatique des règles s'avère essentiel pour réduire fortement leur nombre. D'où la proposition de nombreuses mesures d'intérêt dans la littérature, parmi lesquelles l'utilisateur est supposé ch

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Rydzi, Daniel. "Metodika vývoje a nasazování Business Intelligence v malých a středních podnicích." Doctoral thesis, Vysoká škola ekonomická v Praze, 2005. http://www.nusl.cz/ntk/nusl-77060.

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Dissertation thesis deals with development and implementation of Business Intelligence (BI) solutions for Small and Medium Sized Enterprises (SME) in the Czech Republic. This thesis represents climax of author's up to now effort that has been put into completing a methodological model for development of this kind of applications for SMEs using self-owned skills and minimum of external resources and costs. This thesis can be divided into five major parts. First part that describes used technologies is divided into two chapters. First chapter describes contemporary state of Business Intelligence

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El-Ragal, Ahmed Abdel Hameed Hassan. "Building DSS using knowledge discovery in database applied to admission and registration functions." Thesis, University of Plymouth, 2001. http://hdl.handle.net/10026.1/1971.

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This research investigates the practical issues surrounding the development and implementation of Decision Support Systems (DSS). The research describes the traditional development approaches analyzing their drawbacks and introduces a new DSS development methodology. The proposed DSS methodology is based upon four modules; needs' analysis, data warehouse (DW), knowledge discovery in database (KDD), and a DSS module. The proposed DSS methodology is applied to and evaluated using the admission and registration functions in Egyptian Universities. The research investigates the organizational requi

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Orlygsdottir, Brynja. "Using knowledge discovery to identify potentially useful patterns of health promotion behavior of 10-12 year old Icelandic children." Diss., University of Iowa, 2008. http://ir.uiowa.edu/etd/6.

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20

Chowdhury, Israt Jahan. "Knowledge discovery from tree databases using balanced optimal search." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/92263/1/Israt%20Jahan_Chowdhury_Thesis.pdf.

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This research is a step forward in discovering knowledge from databases of complex structure like tree or graph. Several data mining algorithms are developed based on a novel representation called Balanced Optimal Search for extracting implicit, unknown and potentially useful information like patterns, similarities and various relationships from tree data, which are also proved to be advantageous in analysing big data. This thesis focuses on analysing unordered tree data, which is robust to data inconsistency, irregularity and swift information changes, hence, in the era of big data it becomes

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Severini, Nicola. "Analysis, Development and Experimentation of a Cognitive Discovery Pipeline for the Generation of Insights from Informal Knowledge." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21013/.

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The purpose of this thesis project is to bring the application of Cognitive Discovery to an informal type of knowledge. Cognitive Discovery is a term coined by IBM Research to indicate a series of Information Extraction (IE) processes in order to build a knowledge graph capable of representing knowledge from highly unstructured data such as text. Cognitive Discovery is typically applied to a type of formal knowledge, i.e. of the documented text such as academic papers, business reports, patents, etc. While informal knowledge is provided, for example, by recording a conversation within a meeti

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Beth, Madariaga Daniel Guillermo. "Identificación de las tendencias de reclamos presentes en reclamos.cl y que apunten contra instituciones de educación y organizaciones públicas." Tesis, Universidad de Chile, 2012. http://www.repositorio.uchile.cl/handle/2250/113396.

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Ingeniero Civil Industrial<br>En la siguiente memoria se busca corroborar, por medio de una experiencia práctica y aplicada, si a caso el uso de las técnicas de Web Opinion Mining (WOM) y de herramientas informáticas, permiten determinar las tendencias generales que pueden poseer un conjunto de opiniones presentes en la Web. Particularmente, los reclamos publicados en el sitio web Reclamos.cl, y que apuntan contra instituciones pertenecientes a las industrias nacionales de Educación y de Gobierno. En ese sentido, los consumidores cada vez están utilizando más la Web para publicar en ella las

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Mo, Dengyao. "Robust and Efficient Feature Selection for High-Dimensional Datasets." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1299010108.

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Fihn, John, and Johan Finndahl. "A Framework for How to Make Use of an Automatic Passenger Counting System." Thesis, Uppsala universitet, Datorteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-158139.

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Most of the modern cities are today facing tremendous traffic congestions, which is a consequence of an increasing usage of private motor vehicles in the cities. Public transport plays a crucial role to reduce this traffic, but to be an attractive alternative to the use of private motor vehicles the public transport needs to provide services that suit the citizens requirements for travelling. A system that can provide transit agencies with rapid feedback about the usage of their transport network is the Automatic Passenger Counting (APC) system, a system that registers the number of passengers

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Mohd, Saudi Madihah. "A new model for worm detection and response : development and evaluation of a new model based on knowledge discovery and data mining techniques to detect and respond to worm infection by integrating incident response, security metrics and apoptosis." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5410.

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Worms have been improved and a range of sophisticated techniques have been integrated, which make the detection and response processes much harder and longer than in the past. Therefore, in this thesis, a STAKCERT (Starter Kit for Computer Emergency Response Team) model is built to detect worms attack in order to respond to worms more efficiently. The novelty and the strengths of the STAKCERT model lies in the method implemented which consists of STAKCERT KDD processes and the development of STAKCERT worm classification, STAKCERT relational model and STAKCERT worm apoptosis algorithm. The new

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Abeysekara, Thusitha Bernad. "A proposal for the protection of digital databases in Sri Lanka." Thesis, University of Exeter, 2013. http://hdl.handle.net/10871/14172.

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Economic development in Sri Lanka has relied heavily on foreign and domestic investment. Digital databases are a new and attractive area for this investment. This thesis argues that investment needs protection and this is crucial to attract future investment. The thesis therefore proposes a digital database protection mechanism with a view to attracting investment in digital databases to Sri Lanka. The research examines various existing protection measures whilst mainly focusing on the sui generis right protection which confirms the protection of qualitative and/or quantitative substantial inv

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Bogorny, Vania. "Enhancing spatial association rule mining in geographic databases." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2006. http://hdl.handle.net/10183/7841.

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A técnica de mineração de regras de associação surgiu com o objetivo de encontrar conhecimento novo, útil e previamente desconhecido em bancos de dados transacionais, e uma grande quantidade de algoritmos de mineração de regras de associação tem sido proposta na última década. O maior e mais bem conhecido problema destes algoritmos é a geração de grandes quantidades de conjuntos freqüentes e regras de associação. Em bancos de dados geográficos o problema de mineração de regras de associação espacial aumenta significativamente. Além da grande quantidade de regras e padrões gerados a maioria são

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PIRRONE, Dario. "DESIGN METHODOLOGIES TO ENABLE COLLECTIVE INTELLIGENCE IN PLATFORMS FOR HUMAN-HUMAN INTERACTION." Doctoral thesis, Università degli Studi di Palermo, 2014. http://hdl.handle.net/10447/91343.

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Mühlbeier, Andreia Rosangela Kessler. "DDAAV DETECTOR DO DESEMPENHO DO ALUNO EM AVAs." Universidade Federal de Santa Maria, 2014. http://repositorio.ufsm.br/handle/1/5440.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico<br>The virtual learning environments (VLEs) are benefited with advances in the use of technologies in education, enabling a more dynamic and meaningful learning. In the face of increased interaction in these environments, greatly increases the amount of data stored. The process of knowledge discovery in database (KDDKnowledge Discovery in Databases) has been used successfully in several areas and in the academic area some results have been used to assist the teachers. This dissertation describes a survey conducted with the steps of

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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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Klement, Ondřej. "Modul pro dolování v časových řadách systému pro dolování z dat." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237165.

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The subject of this master's thesis is extension of existing data mining system. System will be extended by the module for the time series data mining. This thesis consists of common introduction to data mining issues and continues with time series analysis. Thesis then also contains some of the current tasks and algorithms used in time series data mining, follows by the concept of the implementation and description of the choosen mining method. Possible future system's improvments are disscused at the end of the paper.

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Jurčák, Petr. "Získávání znalostí z multimediálních databází." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236662.

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This master's thesis is dedicated to theme of knowledge discovery in Multimedia Databases, especially basic methods of classification and prediction used for data mining. The other part described about extraction of low level features from video data and images and summarizes information about content-based search in multimedia content and indexing this type of data. Final part is dedicated to implementation Gaussian mixtures model for classification and compare the final result with other method SVM.

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Mattozo, Te?filo Camara. "An?lise de desempenho de vendas em telecomunica??es utilizando t?cnicas de minera??o de dados." Universidade Federal do Rio Grande do Norte, 2007. http://repositorio.ufrn.br:8080/jspui/handle/123456789/14880.

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Made available in DSpace on 2014-12-17T14:52:36Z (GMT). No. of bitstreams: 1 TeofiloCM.pdf: 1145688 bytes, checksum: d9ef0be6d9fb3c2958916ee42bdb507a (MD5) Previous issue date: 2007-11-22<br>Nowadays, telecommunications is one of the most dynamic and strategic areas in the world. Organizations are always seeking to find new management practices within an ever increasing competitive environment where resources are getting scarce. In this scenario, data obtained from business and corporate processes have even greater importance, although this data is not yet adequately explored. Knowl

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Wermersch, Fábio Glauco. "Uso de redes neurais artificiais para descoberta de conhecimento sobre a escolha do modo de viagem." Universidade de São Paulo, 2002. http://www.teses.usp.br/teses/disponiveis/18/18137/tde-10072017-165016/.

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Esta pesquisa objetivou uma melhor compreensão do processo de escolha do modo de viagem. Empregou-se a abordagem indutiva dirigida a dados livre de suposições a priori da mineração em banco de dados (Data Mining), utilizando redes neurais artificiais (RNA) como ferramenta mineradora, à procura de conhecimento, ou informação útil, a respeito de escolha e capaz de indicar qual das estruturas de decisão subjacentes aos modelos de escolha modal considerados mais se aproximaria ao do observado. Partindo-se da ideia de que nesse processo exista um padrão o qual pode ser captado por uma RNA, ajustou-

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Zabumba, Dário Filipe Veiga. "Análise quimiométrica aplicada à determinação voltamétrica de compostos de tributilestanho em amostras biológicas e não-biológicas." Master's thesis, Universidade de Évora, 2011. http://hdl.handle.net/10174/15198.

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O tributilestanho é uma espécie química que tem demonstrado ser altamente tóxica para organismos vivos. É utilizado em tintas anti-incrustantes, aplicadas sobretudo no revestimento de cascos de embarcações e outras estruturas marinhas com o objectivo de evitar a deposição de organismos vivos. O tributilestanho, tal como os seus derivados, apresenta um comportamento muito complexo, nomeadamente no que respeita à determinação e quantificação através de métodos electroquímicos. Este trabalho apresenta uma nova abordagem, aliando a voltametria de onda quadrada de redissolução anódica a redes neuro

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Mondal, Kartick Chandra. "Algorithmes pour la fouille de données et la bio-informatique." Thesis, Nice, 2013. http://www.theses.fr/2013NICE4049.

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L'extraction de règles d'association et de bi-clusters sont deux techniques de fouille de données complémentaires majeures, notamment pour l'intégration de connaissances. Ces techniques sont utilisées dans de nombreux domaines, mais aucune approche permettant de les unifier n'a été proposée. Hors, réaliser ces extractions indépendamment pose les problèmes des ressources nécessaires (mémoire, temps d'exécution et accès aux données) et de l'unification des résultats. Nous proposons une approche originale pour extraire différentes catégories de modèles de connaissances tout en utilisant un minimu

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Wu, Yu-Ying, and 吳郁瑩. "Generalized Knowledge Discovery from Relational Database." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/32813198170670596451.

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博士<br>國立中央大學<br>資訊管理研究所<br>98<br>Data mining has attracted a great deal of attention in the information industry and in society due to its wide applicability in many areas. Many approaches have been proposed to generalize valuable information patterns and attribute-oriented induction (AOI) is one of the most important methods. However, existing AOI approaches encounter two problems. First, the AOI only provides a snapshot of the generalized knowledge, not a global picture. Second, it only mines knowledge from positive facts in databases. In this study, we proposed two novel methods to generate

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Cheng, Huang Min, and 黃明正. "Knowledge Discovery in Database and Competitor Analysis." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/85773988950106576294.

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碩士<br>輔仁大學<br>資訊管理學系<br>88<br>In the era of rapid growth and sheer competition, an enterprise must be in the position of information/knowledge advantage in order to hold the opportunity knock in the industry. Competitors are companies that offer the same or similar products/services as the enterprise, whose growth is greatly influenced by these competitors. Therefore, the enterprise has to continuously monitor its competitors in order for getting enough information and converting the information into intelligence. That is, the enterprise must do the task “competitor analysis”. Altho

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王慶堯. "A Study of Incremental Mining and Multidimensional Online Mining for Knowledge Discovery in Database." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/89434663824097080188.

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Serras, Flávia Alexandra Jorge. "Métodos de aprendizagem automática: um estudo baseado na avaliação e previsão de clientes bancários." Master's thesis, 2016. http://hdl.handle.net/10362/17371.

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Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence<br>Data Mining surge, hoje em dia, como uma ferramenta importante e crucial para o sucesso de um negócio. O considerável volume de dados que atualmente se encontra disponível, por si só, não traz valor acrescentado. No entanto, as ferramentas de Data Mining, capazes de transformar dados e mais dados em conhecimento, vêm colmatar esta lacuna, constituindo, assim, um trunfo que ninguém quer perder. O presente trabalho foca-

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Ho, Mehng Shyuer, and 何孟學. "Knowledge Discovery in Taiwan Stock Exchange Capitalization Weighted Stock Index Database -Wedding the Wavelet Transform and Self-Organizing Maps." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/73753851977693145120.

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碩士<br>國立嘉義大學<br>管理研究所<br>91<br>As the approach of the digital economy era, Information Technology makes not only work process conveniently but also the co-vibrations in global economic markets. How can decision maker deals with the data containing words, prices, varieties of numbers and signs efficiently day after day. The main goal of our research is to explore the knowledge through the huge time series database. Knowledge discovery refers to the overall process of extracting high-level knowledge from the low level data in context of the huge databases. With the excellent abilities

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Tseng, Hung-Ping, and 曾宏平. "The Discovery of Enterprise Knowledge Using Data Mining-A Study on After Service Database of a Housing Development Company." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/66305228140560520177.

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碩士<br>國立高雄第一科技大學<br>營建工程所<br>91<br>Knowledge management method adopted by most of construction contractors is only to compile the previous project reports in papers for reference in next similar projects. However, it is usually not easy to apply the reports and it also appears subjectively which would not easily surmount on the views of concept and innovation. All the project reports could only provide experiences for review. In addition, construction contractors invest large amount money for establishment database which also appears in formalization and is not able to get the benefit from the

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Machado, Ana Rita Catalão. "Serviços e operações das redes inteligentes : Inovgrid - qualidade e desempenho : estágio na EDP Distribuição." Master's thesis, 2018. http://hdl.handle.net/10400.26/25472.

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O sistema de distribuição de energia elétrica encontra-se em fase de transição com a implementação de redes de distribuição inteligentes. Fatores como preocupações de sustentabilidade ambiental, melhoria na qualidade do fornecimento de energia, incentivo ao papel ativo do consumidor e alterações no mercado europeu de energia, criaram novos desafios que foram acompanhados por novas diretivas e alterações regulatórias. A EDP Distribuição tem desenvolvido desde 2007 o Projeto Inovgrid com o objetivo de implementar as infraestruturas e as transformações associadas ao novo paradigma das redes

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Barth, Kirstin. "An analysis of semantic data quality defiencies in a national data warehouse: a data mining approach." Diss., 2018. http://hdl.handle.net/10500/25576.

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This research determines whether data quality mining can be used to describe, monitor and evaluate the scope and impact of semantic data quality problems in the learner enrolment data on the National Learners’ Records Database. Previous data quality mining work has focused on anomaly detection and has assumed that the data quality aspect being measured exists as a data value in the data set being mined. The method for this research is quantitative in that the data mining techniques and model that are best suited for semantic data quality deficiencies are identified and then applied to the data

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Correia, Carlos Daniel Dias. "Data Mining e Data Quality em dados da saúde." Master's thesis, 2017. http://hdl.handle.net/1822/54478.

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Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação<br>Este trabalho enquadra-se no desenvolvimento do projeto de dissertação de mestrado em Engenharia e Gestão de Sistemas de Informação da Universidade do Minho, sobre o tema – Data Mining e Data Quality em dados da Saúde. Este tema surge da interação entre um grupo de Investigação da Universidade do Minho e a Entidade Reguladora da Saúde. Atualmente qualquer assunto relacionado com a saúde é sempre um tema muito sensível na sociedade, já que interfere diretamente no bem-estar das pessoas. Neste sentido, com

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