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Dissertations / Theses on the topic 'Mining'

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1

Carlsson, Emil. "Mining Git Repositories : An introduction to repository mining." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-27742.

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When performing an analysis of the evolution of software quality and software metrics,there is a need to get access to as many versions of the source code as possible. There isa lack of research on how data or source code can be extracted from the source controlmanagement system Git. This thesis explores different possibilities to resolve thisproblem. Lately, there has been a boom in usage of the version control system Git. Githubalone hosts about 6,100,000 projects. Some well known projects and organizations thatuse Git are Linux, WordPress, and Facebook. Even with these figures and clients,
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Schieber, Andreas, and Paul Kruse. "Idea Mining." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-140499.

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Motiviert durch den Erfolg des Web 2.0 und Social Media in vielen Bereichen des öffentlichen Lebens und der damit verbundenen Open-Innovation-Bewegung, die Kunden aktiv in den Innovationsprozess einbezieht, schlägt dieser Beitrag eine Integration von Wissensmanagement und Text Mining zur Verbesserung dieses Innovationsprozesses vor. Durch den beschriebenen Ansatz werden Kunden nicht nur motiviert, ihre Ideen und Bedürfnisse auf webbasierten Kommunikationsplattformen preiszugeben, sondern die entstehenden, textbasierten Daten können automatisiert ausgewertet und zur zielgerichteten und zeitnahe
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3

Mrázek, Michal. "Data mining." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-400441.

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The aim of this master’s thesis is analysis of the multidimensional data. Three dimensionality reduction algorithms are introduced. It is shown how to manipulate with text documents using basic methods of natural language processing. The goal of the practical part of the thesis is to process real-world data from the internet forum. Posted messages are transformed to the numerical representation, then to two-dimensional space and visualized. Later on, topics of the messages are discovered. In the last part, a few selected algorithms are compared.
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Zúñiga, Larrondo Diego, and Fuentealba Fernando Ruiz. "Provetec mining." Tesis, Universidad de Chile, 2015. http://repositorio.uchile.cl/handle/2250/137210.

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Tesis para optar al grado de Magíster en Administración<br>Diego Zúñiga Larrondo [Parte I no autoriza acceso a texto completo de su documento ], Fernando Ruiz Fuentealba [Parte II no envía autorización para acceso a texto completo de su documento]<br>En Chile la industria minera es uno de los principales motores de la economía nacional, teniendo un gran nivel de consumidores de bienes y servicios, de igual forma su solvencia, estabilidad e inversión, lo resaltan como un mercado sumamente atractivo para proveedores de diferentes sectores. De igual forma las relaciones laborales,
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5

Östlund, Jacob, and Kristian Kierkegaard. "Uranium Mining Industry : -A valuation of uranium mining companies." Thesis, Jönköping University, JIBS, Accounting and Finance, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-927.

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<p>Background:</p><p>Over the last three years uranium prices have soard from US $14 per pound (lb) to the current price of US $120/lb and this rapid incline of the commodity have created a boom within the uranium prospecting and min-ing industry. There are currently 435 nuclear reactors all over the world and these reactors demand 180 millions of pounds of uranium each year to run at full production. Currently the uranium mining industry only sup-plies 110 million pounds of the demanded quantity. The remaining 70 mil-lion pounds are coming from secondary sources such as decommissioned nuclear
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6

Vithal, Kadam Omkar. "Novel applications of Association Rule Mining- Data Stream Mining." AUT University, 2009. http://hdl.handle.net/10292/826.

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From the advent of association rule mining, it has become one of the most researched areas of data exploration schemes. In recent years, implementing association rule mining methods in extracting rules from a continuous flow of voluminous data, known as Data Stream has generated immense interest due to its emerging applications such as network-traffic analysis, sensor-network data analysis. For such typical kinds of application domains, the facility to process such enormous amount of stream data in a single pass is critical.
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Martínez, Aponte Humberto. "Obligations Regime of the Mining Concession (Mining rights system)." Derecho & Sociedad, 2015. http://repositorio.pucp.edu.pe/index/handle/123456789/117509.

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Mining concessions are subject to the fulfillment of liabilities by their owners based on ground for revocation, known as «expiration», as part of mining rights systems. The recent evolution of these liabilities and their focus as part of the conditions offered by the country for investment are analyzed by the author. To do this, the author conduct a review about the changes taken place in 1991 and 2008 mainly, as well as provides the elements to analyze the appropriateness of modifications or its flexibility. The tables used in the explanation constitutes a contribution, which were used by th
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8

Madalane, Thembi. "The obligation to rehabilitate mining areas : post mining activities." Thesis, University of Limpopo (Turfloop Campus), 2012. http://hdl.handle.net/10386/905.

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Thesis (LLM) -- University of Limpopo, 2012<br>The study focuses on rehabilitation, since absence of proper rehabilitation process result in indelible damage to the environment. South Africa, like many other countries, is faced with many environmental problems caused by mining. These problems are particularly caused by, inter alia, abandoned mining areas without rehabilitation, inadequate environmental impact assessment after closure, inadequate financial provision for rehabilitation, and lack of monitoring and aftercare system after post mine closure. The study found that many Companies ignor
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9

Mahamaneerat, Wannapa Kay Shyu Chi-Ren. "Domain-concept mining an efficient on-demand data mining approach /." Diss., Columbia, Mo. : University of Missouri--Columbia, 2008. http://hdl.handle.net/10355/7195.

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Title from PDF of title page (University of Missouri--Columbia, viewed on February 24, 2010). The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Dissertation advisor: Dr. Chi-Ren Shyu. Vita. Includes bibliographical references.
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Bjørkelund, Eivind, and Thomas Hoberg Burnett. "Temporal Opinion Mining." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18845.

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This project explores the possibilities in detecting changes in opinion over time. For this purpose, different techniques and algorithms in opinion mining have been studied and used as a theoretic foundation when developing strategies towards detecting changes in opinions.Different approaches to a system that detects and visualises changes in opinions have been proposed. These approaches include using machine learning techniques like the naiveBayes algorithm and opinion mining techniques based on SentiWordNet. Additionally,feature extraction techniques and the impact of burst detection have be
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11

Belin, Siderov Mitkov. "AUTONOMOUS MINING VEHICLE." Thesis, KTH, Industriell produktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215965.

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12

van, der Aalst Wil M. P., Arya Adriansyah, Alves de Medeiros Ana Karla, et al. "Process Mining Manifesto." Springer, 2011. http://dx.doi.org/10.1007/978-3-642-28108-2_19.

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Process mining techniques are able to extract knowledge from event logs commonly available in today's information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains. There are two main drivers for the growing interest in process mining. On the one hand, more and more events are being recorded, thus, providing detailed information about the history of processes. On the other hand, there is a need to improve and support business processes in competitive and rapidly changing environments. This manifesto is created by the IEE
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Zhang, Minghua, and 張明華. "Sequence mining algorithms." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B44570119.

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14

Suwannaroj, Sujimarn. "Mining biological literature." Thesis, University of Sheffield, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.421163.

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Wang, Yi. "Dynamic Causal Mining." Thesis, Cardiff University, 2008. http://orca.cf.ac.uk/54918/.

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Causality plays a central role in human reasoning, in particular, in common human decision-making, by providing a basis for strategy selection. The main aim of the research reported in this thesis is to develop a new way to identify dynamic causal relationships between attributes of a system. The first part of the thesis introduces the development of a new data mining algorithm, called Dynamic Causal Mining (DCM), which extracts rules from data sets based on simultaneous time stamps. The rules derived can be combined into policies, which can simulate the future behaviour of systems. New rules
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Siderov, Mitkov Belin. "AUTONOMOUS MINING VEHICLE." Thesis, KTH, Industriell produktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-200894.

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Automation in mining industry is one of the important research and application areas of artificial intelligence. Also it is one of the key areas that autonomous vehicle technology being built upon. In order to accomplish autonomous driving, researchers get help from many different areas such as computer science, mechanical engineering, mathematics, and even psychology, and many more areas. With the current speed of technological development, in the near future, it will be inevitable that autonomous driving will be reality in many areas including mining areas, public and private transportation.
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17

Zheng, George. "Web Service Mining." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/26324.

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In this dissertation, we present a novel approach for Web service mining. Web service mining is a new research discipline. It is different from conventional top down service composition approaches that are driven by specific search criteria. Web service mining starts with no such criteria and aims at the discovery of interesting and useful compositions of existing Web services. Web service mining requires the study of three main research topics: semantic description of Web services, efficient bottom up composition of composable services, and interestingness and usefulness evaluation of co
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Benkovská, Petra. "Web Usage Mining." Master's thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-3950.

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General characteristic of web mining including methodology and procedures incorporated into this term. Relation to other areas (data mining, artificial intelligence, statistics, databases, internet technologies, management etc.) Web usage mining - data sources, data pre-processing, characterization of analytical methods and tools, interpretation of outputs (results), and possible areas of usage including examples. Suggestion of solution method, realization and a concrete example's outputs interpretation while using above mentioned methods of web usage mining.
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Payyappillil, Hemambika. "Data mining framework." Morgantown, W. Va. : [West Virginia University Libraries], 2005. https://etd.wvu.edu/etd/controller.jsp?moduleName=documentdata&jsp%5FetdId=3807.

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Thesis (M.S.)--West Virginia University, 2005<br>Title from document title page. Document formatted into pages; contains vi, 65 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 64-65).
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Mina, Marco. "Mining Biological Networks." Doctoral thesis, Università degli studi di Padova, 2013. http://hdl.handle.net/11577/3422641.

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This thesis addresses relevant issues related to the analysis of biological networks. Path redundancy was exploited to denoise currently available data, dominated by high levels of wrong or missing information, and applied to the local alignment of protein-protein interaction networks. On another research direction, regulatory networks were employed to explain master regulators’ ability of modulating cells’ behaviour. In this direction, an existing approach was adapted for the analysis of miRNAs’ role in Glioblastoma Multiforme cancer cells. The methodological aspects of this work represent a
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21

Delos, Reyes Julie Ann. "Mining shareholder value : financialisation, extraction and the geography of gold mining." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/mining-shareholder-value-financialisation-extraction-and-the-geography-of-gold-mining(d1f1b04a-1cd4-4577-b2ca-c44cc39f7583).html.

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This thesis examines the influence of institutional investors in the activities of large, publicly traded gold mining companies. As key sources of financing and dominant shareholders in company stocks, institutional investors have pushed for the maximisation of shareholder value as company goal. I examine the financial and operational realignments implemented by firms and their implications for production, growth and geography in the commodity boom and bust cycle of 2003-2015. I argue that the bid to deliver shareholder value manifested in highly fragmented, but interlinked, sites of accumulat
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22

Lydiatt, Tracy, Patricia Mequita, and Anne Nolan. "Sustainable Mining? Applying the Framework for Strategic Sustainable Development to Mining Projects." Thesis, Blekinge Tekniska Högskola, Avdelningen för maskinteknik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3922.

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Precious and base metal mining projects can serve as a stepping-stone in moving the mining industry towards achieving compliance with a scientific-principled definition of global socio-ecological sustainability. Using the Framework for Strategic Sustainable Development to assess the current reality of mine project development has resulted in identifying gaps between current best practices and a desired vision of sustainability constrained by science based principles. These gaps provide opportunities for sustainability driven innovation. Evaluation of mining project phases and their impacts on
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Pietrzela, Mateusz. "Mining and Sustainability? Systems and Stakeholder Analyses of Uranium Mining in Namibia." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-204172.

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Roughly 10% of the Namibian GDP and over 40% of total exports are dependent on themining sector. Namibia is one of the five leading uranium producing countries worldwide withperspectives to triple the production in the following years. This study aims to identify the implicationsto sustainable development of the country carried by such a strategy to stimulate the economic growth.The complexity of the issue is addressed by an interdisciplinary set of methods leading to a betterunderstanding of processes linking uranium mining in Namibia with the environment, society and theglobal economy. Regul
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Zhang, Nan. "Privacy-preserving data mining." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1080.

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Hulten, Geoffrey. "Mining massive data streams /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/6937.

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Büchel, Nina. "Faktorenvorselektion im Data Mining /." Berlin : Logos, 2009. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=019006997&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Canturk, Deniz. "Time-based Workflow Mining." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606149/index.pdf.

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Contemporary workflow management systems are driven by explicit process models, i.e., a completely specified workflow design is required in order to enact a given workflow process. Creating a workflow design is a complicated time-consuming process and typically there are discrepancies between the actual workflow processes and the processes as perceived by the management. Therefore, new techniques for discovering workflow models have been required. Starting point for such techniques are so-called &ldquo<br>workflow logs&quot<br>containing information about the workflow process as it is actually
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Shao, Junming. "Synchronization Inspired Data Mining." Diss., lmu, 2011. http://nbn-resolving.de/urn:nbn:de:bvb:19-137356.

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Tigerström, Viktor. "Micropayments through cryptocurrency mining." Thesis, Uppsala universitet, Institutionen för informatik och media, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-303357.

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The monetary policies of states and systems built upon them do not naturally allow transactions of a very small value, as the transaction costs exceeds the actual value of the transaction. These types of transactions are called micropayments. This is problematic as it removes the possibility to monetize content that has a valuation that is so low that the costs of the transaction exceeds the value of the content. In this thesis we aim to create a system that allows micropayments to monetize low value content. We do so by developing a design theory based on Gregor and Jones conceptual model for
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Wang, Xiaohong. "Data mining with bilattices." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ59344.pdf.

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Jagannath, Sandhya. "Utility Guided Pattern Mining." NCSU, 2003. http://www.lib.ncsu.edu/theses/available/etd-11262003-131929/.

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This work is an initial exploration of the use of the decision-theoretic concept of utility to guide pattern mining. We present the use of utility functions as against thresholds and constraints as the mechanism to express user preferences and formulate several pattern mining problems that use utility functions. Utility guided pattern mining provides the twin benefits of capturing user preferences precisely using utility functions and of expressing user focus by choosing an appropriate utility guided pattern mining problem. It addresses the drawbacks of threshold guided pattern mining, the spe
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Lu, Zhiyong. "Text mining on GeneRIFs /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.

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Thesis (Ph.D. in ) -- University of Colorado Denver, 2007.<br>Typescript. Includes bibliographical references (leaves 174-182). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;
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Knobbe, Arno J. "Multi-relational data mining /." Amsterdam [u.a.] : IOS Press, 2007. http://www.loc.gov/catdir/toc/fy0709/2006931539.html.

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Lilliemarck, Jakob. "Super Local Urban Mining." Thesis, Konstfack, Industridesign, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:konstfack:diva-4185.

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Feng, Jing. "Information-theoretic graph mining." Diss., Ludwig-Maximilians-Universität München, 2015. http://nbn-resolving.de/urn:nbn:de:bvb:19-183384.

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Real world data from various application domains can be modeled as a graph, e.g. social networks and biomedical networks like protein interaction networks or co-activation networks of brain regions. A graph is a powerful concept to model arbitrary (structural) relationships among objects. In recent years, the prevalence of social networks has made graph mining an important center of attention in the data mining field. There are many important tasks in graph mining, such as graph clustering, outlier detection, and link prediction. Many algorithms have been proposed in the literature to solve th
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丁嘉慧 and Ka-wai Ting. "Time sequences: data mining." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31226760.

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Wan, Chang, and 萬暢. "Mining multi-faceted data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/197527.

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Multi-faceted data contains different types of objects and relationships between them. With rapid growth of web-based services, multi-faceted data are increasing (e.g. Flickr, Yago, IMDB), which offers us richer information to infer users’ preferences and provide them better services. In this study, we look at two types of multi-faceted data: social tagging system and heterogeneous information network and how to improve service such as resources retrieving and classification on them. In social tagging systems, resources such as images and videos are annotated with descriptive words called t
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Khodabandelou, Ghazaleh. "Mining Intentional Process Models." Phd thesis, Université Panthéon-Sorbonne - Paris I, 2014. http://tel.archives-ouvertes.fr/tel-01010756.

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Jusqu'à présent, les techniques de fouille de processus ont modélisé les processus en termes des séquences de tâches qui se produisent lors de l'exécution d'un processus. Cependant, les recherches en modélisation du processus et de guidance ont montrée que de nombreux problèmes, tels que le manque de flexibilité ou d'adaptation, sont résolus plus efficacement lorsque les intentions sont explicitement spécifiées. Cette thèse présente une nouvelle approche de fouille de processus, appelée Map Miner méthode (MMM). Cette méthode est conçue pour automatiser la construction d'un modèle de processus
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García-Osorio, César. "Data mining and visualization." Thesis, University of Exeter, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.414266.

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Wang, Grant J. (Grant Jenhorn) 1979. "Algorithms for data mining." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/38315.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.<br>Includes bibliographical references (p. 81-89).<br>Data of massive size are now available in a wide variety of fields and come with great promise. In theory, these massive data sets allow data mining and exploration on a scale previously unimaginable. However, in practice, it can be difficult to apply classic data mining techniques to such massive data sets due to their sheer size. In this thesis, we study three algorithmic problems in data mining with consideration to the ana
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Anwar, Muhammad Naveed. "Data mining of audiology." Thesis, University of Sunderland, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573120.

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This thesis describes the data mining of a large set of patient records from the hearing aid clinic at James Cook University Hospital in Middlesbrough, UK. As typical of medical data in general, these audiology records are heterogeneous, containing the following three different types of data: Audiograms (graphs of hearing ability at different frequencies) Structured tabular data (such as gender, date of birth and diagnosis) Unstructured text (specific observations made about each patient in a free- text or comment field) This audiology data set is unique, as it contains records of patients pre
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Gonçalves, Lea Silvia Martins. "Categorização em Text Mining." Universidade de São Paulo, 2002. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22062015-202748/.

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Os avanços tecnológicos e científicos ocorridos nas últimas décadas têm proporcionado o desenvolvimento de métodos cada vez mais eficientes para o armazenamento e processamento de dados. Através da análise e interpretação dos dados, é possível obter o conhecimento. Devido o conhecimento poder auxiliar a tomada de decisão, ele se tornou um elemento de fundamental importância para diversas organizações. Uma grande parte dos dados disponíveis hoje se encontra na forma textual, exemplo disso é o crescimento vertiginoso no que se refere à internet. Como os textos são dados não estruturados, é neces
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Santos, José Carlos Almeida. "Mining protein structure data." Master's thesis, FCT - UNL, 2006. http://hdl.handle.net/10362/1130.

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The principal topic of this work is the application of data mining techniques, in particular of machine learning, to the discovery of knowledge in a protein database. In the first chapter a general background is presented. Namely, in section 1.1 we overview the methodology of a Data Mining project and its main algorithms. In section 1.2 an introduction to the proteins and its supporting file formats is outlined. This chapter is concluded with section 1.3 which defines that main problem we pretend to address with this work: determine if an amino acid is exposed or buried in a protein, in a d
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Friesen, Eugen. "ArcelorMittal: metals & mining." Master's thesis, NSBE - UNL, 2013. http://hdl.handle.net/10362/9876.

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Garda-Osorio, Cesar. "Data mining and visualisation." Thesis, University of the West of Scotland, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.742763.

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Rawles, Simon Alan. "Object-oriented data mining." Thesis, University of Bristol, 2007. http://hdl.handle.net/1983/c13bda2c-75c9-4bfa-b86b-04ac06ba0278.

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Attempts to overcome limitations in the attribute-value representation for machine learning has led to much interest in learning from structured data, concentrated in the research areas of inductive logic programming (ILP) and multi-relational data mining (MDRM). The expressivenessa nd encapsulationo f the object-oriented data model has led to its widespread adoption in software and database design. The considerable congruence between this model and individual-centred models in inductive logic programming presents new opportunities for mining object data specific to its domain. This thesis inv
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Sandström, Anders. "Mining in Zero Gravity." Thesis, Umeå universitet, Designhögskolan vid Umeå universitet, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-150623.

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Regardless of new mining technologies and environmental regulations, the minerals we extract from the earth’s crust will eventually run out. Likewise, our society demands a constant increase of technology to improve our quality of life. Mining in Zero Gravity is a speculative design project that offers a vision of our first attempt at mining platinum group metals from asteroids by the year 2040. Kolibri is designed within the boundaries of the future challenges facing the mining industry and the development of our space industry.
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Njeru, Tom Magara. "Persistent reservations in mining?" Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/8511.

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Includes bibliographical references.<br>This paper analyses the persistence of colour bar reservations into the present day mining sector. Focusing on the occupations Banksman/Onsetter, Blaster, Engineer, Labourer and Winding Engine Driver, an ordered probit regression is run producing little evidence to support the persistence. A White skill bias is noted and further investigated using Oaxaca decomposition. Observable skill sets such as education, experience, demographics and firm level characteristics are unable to adequately explain the occupational gap between the races. This might suggest
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Mao, Shihong. "Comparative Microarray Data Mining." Wright State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=wright1198695415.

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Novák, Petr. "Data mining časových řad." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-72068.

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