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Teses / dissertações sobre o tema "Behaviour discovery"

Autor: Grafiati

Publicado: 22 de março de 2025

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1

Ellul, Andrew. "Trading behaviour, price discovery and volatility in competing market microstructures." Thesis, London School of Economics and Political Science (University of London), 2001. http://etheses.lse.ac.uk/2102/.

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The first chapter investigates the price and volatility impacts produced by block trades in an inter-market environment with different microstructures. A sample of European cross-traded securities is employed to investigate whether large trades executed on the foreign market (London Stock Exchange's SEAQ-I market) produce any impacts on the securities' home markets and analyse whether different market microstructures matter. The price impact in the home markets is detected before the large trade is executed on SEAQ-I and proceeds in a protracted fashion, implying that substantial pre- and post

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2

Christie, Lorna Grace. "Discovery of novel polyoxopalladates and investigation of their supramolecular behaviour." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/8860/.

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Polyoxopalladates (POPds) are an emerging class of unconventional polyoxometalates (POMs) which are particularly interesting due to the catalytic properties of palladium. Until recently, POPds were limited to low nuclearity {Pd12} and {Pd15} archetypes. However, in 2012, the giant {Pd84}Ac macrocycle was discovered, becoming the largest of this family to date. One of the major barriers to the discovery of POMs in general is that the chemistry relies heavily on crystallisation. The presence of POMs in solution is often overlooked if no crystalline products emerge. Furthermore, their behaviour i

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3

Hassan, Ahmed Mai. "Discovery and restoration of aberrant nuclear structure and genome behaviour in breast cancer cells." Thesis, Brunel University, 2013. http://bura.brunel.ac.uk/handle/2438/8847.

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The eukaryotic interphase nucleus is well organised and the genome positioned non-randomly. Nuclear structure is an important regulator of genome behaviour and function. Genome organisation and nuclear structure are compromised in diseases such as cancer and laminopathies. This study was to find out and to determine if there is any functional relationship between nuclear structure and genome mis-organisation in cancer cells. I have assessed the presence and distribution of specific nuclear structural proteins (A-type, B-type lamins and its receptor LBR, many of their binding proteins such as M

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4

Labus, Michael. "Discovery of the CRM behaviour theory : managing corporate customer relationships in the changing telecoms industry." Thesis, University of the West of England, Bristol, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.444495.

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5

Webb, Joseph Charles. "The use of discovery awareness in intellectual disability services : examining a European approach to challenging behaviour in a UK setting." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/43360/.

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A series of abuse scandals in recent years have stimulated debate regarding appropriate ways to care for people with intellectual disabilities and challenging behaviour, with policy emphasising the need to move beyond reactive and aversive approaches. This thesis presents a qualitative study of the use of Discovery Awareness; a non-aversive video-analysis based approach to challenging behaviour which aims to improve relational aspects of care. Fieldwork was undertaken over a 10 month period in two Assessment and Treatment Units on a single site in the UK. During this period, 7 Discovery Awaren

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Belfodil, Aimene. "An order theoretic point-of-view on subgroup discovery." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI078.

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Comme le titre pourrait le suggérer, l’objectif principal de cette thèse est de fournir une meilleure compréhension de la tâche de la découverte de sous-groupes à travers la théorie de l’ordre. La découverte de sous-groupes (Subgroup Discovery - SD) est la tâche automatique dont le but est la découverte d’hypothèses intéressantes dans les bases de données. Autrement dit, étant donnée une base de donnée, l’espace de recherche de toutes les hypothèses que l’analyste voudra tester ainsi qu’un moyen formel pour évaluer la qualité de ces hypothèses ; la tâche automatique de la découverte de sous-gr

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7

Viljoen, Christo. "Price discovery, price behaviour, and efficiency of selected grain commodities traded on the agricultural products division of the JSE securities exchange." Thesis, Rhodes University, 2004. http://hdl.handle.net/10962/d1002686.

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Agricultural commodity derivatives were first introduced in South Africa in 1996 after the deregulation of the former marketing system. In the context of its proposed functions, namely price discovery and risk management, the question arose as to whether the futures market developed over time to performed its role efficiently. According to the Efficient Markets Hypothesis (EMH) an efficient market is one that accurately incorporates all information available at any point in time. The purpose of the research was to address the issue of price discovery efficiency, firstly, focusing on the weak-f

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8

Psorakis, Ioannis. "Probabilistic inference in ecological networks : graph discovery, community detection and modelling dynamic sociality." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:84741d8b-31ea-4eee-ae44-a0b7b5491700.

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This thesis proposes a collection of analytical and computational methods for inferring an underlying social structure of a given population, observed only via timestamped occurrences of its members across a range of locations. It shows that such data streams have a modular and temporally-focused structure, neither fully ordered nor completely random, with individuals appearing in "gathering events". By exploiting such structure, the thesis proposes an appropriate mapping of those spatio-temporal data streams to a social network, based on the co-occurrences of agents across gathering events, w

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9

Smedman, Gustaf, and Timo Kervinen. "Spectrum auctions in Sweden : A theoretical study of spectrum auctions in Sweden." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-48728.

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This paper seeks to find whether the spectrum auctions in Sweden have been conducted efficiently and if there is a de facto model that suits all auctions. The efficiency is conditions that emphasise truthful bidding, price discovery and limits collusive behaviour. The paper compares three different auction models used in Sweden, a beauty contest used in the allocation of 3G spectrums, and the auction model selected for the upcoming 5G spectrum auction. The auction models are as follows: first and second-price sealed-bid auction, SMRA and CCA. We found that beauty contests should not be used in

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10

Krawitz, Ronald Michael. "Code Clone Discovery Based on Functional Behavior." NSUWorks, 2012. http://nsuworks.nova.edu/gscis_etd/201.

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Code clone Discovery Based on Functional Behavior by Ronald M Krawitz 2012 Legacy programs are used for many years and experience many cycles of use-maintenance-use-maintenance-use-etc. Source code or source code functionality is frequently replicated within these programs when it is written, as well as when it is maintained. Over time many different developers with greater or lesser understanding of the source code maintain the source code. Maintenance developers, when they have limited time or lack understanding of the program, frequently resort to short cuts that include cutting and pasting

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11

Pomponio, Laura. "Definition of a human-machine learning process from timed observations : application to the modelling of human behaviourfor the detection of abnormal behaviour of old people at home." Thesis, Aix-Marseille, 2012. http://www.theses.fr/2012AIXM4358.

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L'acquisition et la modélisation de connaissances ont été abordés jusqu'à présent selon deux approches principales : les êtres humains (experts) à l'aide des méthodologies de l'Ingénierie des Connaissances et le Knowledge Management, et les données à l'aide des techniques relevant de la découverte de connaissances à partir du contenu de bases de données (fouille de données). Cette thèse porte sur la conception d'un processus d'apprentissage conjoint par l'être humain et la machine combinant une approche de modélisation des connaissances de type Ingénierie des Connaissances (TOM4D, Timed Observ

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Belfodil, Adnene. "Exceptional model mining for behavioral data analysis." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI086.

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Avec la prolifération rapide des plateformes de données qui récoltent des données relatives à plusieurs domaines tels que les données de gouvernements, d’éducation, d’environnement ou les données de notations de produits, plus de données sont disponibles en ligne. Ceci représente une opportunité sans égal pour étudier le comportement des individus et les interactions entre eux. Sur le plan politique, le fait de pouvoir interroger des ensembles de données de votes peut fournir des informations intéressantes pour les journalistes et les analystes politiques. En particulier, ce type de données pe

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13

Sun, Feng-Tso. "Nonparametric Discovery of Human Behavior Patterns from Multimodal Data." Research Showcase @ CMU, 2014. http://repository.cmu.edu/dissertations/359.

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Recent advances in sensor technologies and the growing interest in context- aware applications, such as targeted advertising and location-based services, have led to a demand for understanding human behavior patterns from sensor data. People engage in routine behaviors. Automatic routine discovery goes beyond low-level activity recognition such as sitting or standing and analyzes human behaviors at a higher level (e.g., commuting to work). The goal of the research presented in this thesis is to automatically discover high-level semantic human routines from low-level sensor streams. One recent

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14

Lee, Na-Ra. "DISCOVERY OF NOVEL PHARMACOTHERAPEUTICS FOR SUBSTANCE USE DISORDERS." UKnowledge, 2019. https://uknowledge.uky.edu/pharmacy_etds/104.

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Substance use disorders are serious health concerns in the United States. Furthermore, the National Survey on Drug Use and Health reports a continuous increase in substance use disorders in the United States during the last 10 years. However, there are not many effective pharmacotherapeutics available for substance use disorders. The current dissertation is focused on research aimed at discovering pharmacotherapeutics for substance use disorders. First part of dissertation focused on discovering methamphetamine (METH) use disorder therapeutics targeting specific mechanism of METH action on dop

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15

Crowley, Kathleen M. "Dynamics of Creativity| A Study of Early Drug Discovery Scientists' Experience of Creativity." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10976402.

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<p> Research and development (R&D) innovation has become an important competitive advantage that is essential to the biopharma industry and critical to drug development (Bennani, 2012; Cuatrecasas, 2006; Douglas, et al., 2010; Garnier, 2008; Hine & Kapeleris, 2006; McKelvey, 2008; Pisano, 2006, 2010). Cultivating R&D innovation carries a distinct challenge of balancing between fostering conditions for creativity while at the same time managing for technical, scientific and operational efficiencies. However, the trend in the industry is toward using more process management techniqu

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Miller, Chreston. "Structural Model Discovery in Temporal Event Data Streams." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/19341.

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This dissertation presents a unique approach to human behavior analysis based on expert guidance and intervention through interactive construction and modification of behavior models. Our focus is to introduce the research area of behavior analysis, the challenges faced by this field, current approaches available, and present a new analysis approach: Interactive Relevance Search and Modeling (IRSM). More intelligent ways of conducting data analysis have been explored in recent years. Ma- chine learning and data mining systems that utilize pattern classification and discovery in non-textual

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17

Padungsaksawasdi, Chaiyuth. "The US Financial Crisis and the Behavior of the Foreign Exchange Market." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/642.

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Foreign exchange market is the most active market in today’s global financial domains. While the consensus on several aspects of this market is fairly established, the informational efficiency in this market is still unsettled, particularly during unexpected interruptions and unusual or unstable periods. The financial crisis of 2008 is the most recent example of such a period. This dissertation focuses on the efficiency of the foreign exchange market during a unique, turbulent period using the six most actively traded currencies: the Australian dollar, Canadian dollar, Swiss franc, Euro, Briti

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18

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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19

Smith, Tynan S. "Unsupervised discovery of human behavior and dialogue patterns in data from an online game." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/76999.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 121-126).<br>A content authoring bottleneck in AI, coupled with improving technology, has lead to increasing efforts in using large datasets to power Al systems directly. This idea is being used to create Al agents in video games, using logs of human-played games as the dataset. This new approach to AI brings its own challenges, particularly the need to annotate the datasets used. This thesis exp

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20

Rowsell, John. "Composition of traders in live cattle futures contracts: behavior and implications to price discovery." Diss., Virginia Tech, 1991. http://hdl.handle.net/10919/39772.

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The concepts of risk transfer and price discovery are well developed roles for futures markets. The interaction between traders in futures markets in the transferring and acceptance of price risk contributes to the discovery of price. Interaction of traders in the risk transfer and price discovery processes is examined in this dissertation. Data employed were for live cattle futures at the Chicago Mercantile Exchange developed from the confidential daily records of reporting trader positions maintained by the Commodity Futures Trading Commission. The analysis was for the period February 1983 t

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21

Davies, Ruth Tracy. "Male adolescents' experiences of initial discovery of their sexually harmful behaviours : personal and social consequences." Thesis, University of Hertfordshire, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.415807.

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22

Tittle, Michelle Estes. "Using Appreciative Inquiry to Discover School Administrators' Learning Management Best Practices Development." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/4893.

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The U.S. Department of Education has mandated that each U.S. state develop successful initiatives to help students navigate their educational experience. Yet in Alabama students neither advance academically nor in improved life skills development. It is unclear if school administrators in Alabama Schools have contextual best practices for strategic planning and implementation to support and improve the experiences of vulnerable K-12 students. The purpose of this descriptive case study was to explore how administrators of Alabama schools develop contextual best practices for strategic planning

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23

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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24

Hopkins, Mark E. "A Study of Physicians' Serendipitous Knowledge Discovery: An Evaluation of Spark and the IF-SKD Model in a Clinical Setting." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157586/.

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This research study is conducted to test Workman, Fiszman, Rindflesch and Nahl's information flow-serendipitous knowledge discovery (IF-SKD) model of information behavior, in a clinical care context. To date, there have been few attempts to model the serendipitous knowledge discovery of physicians. Due to the growth and complexity of the biomedical literature, as well as the increasingly specialized nature of medicine, there is a need for advanced systems that can quickly present information and assist physicians to discover new knowledge. The National Library of Medicine's (NLM) Lister Hill C

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Smith, Victoria Lynn. "Comparison of Acquisition Rates and Child Preference for Varying Amounts of Teacher Directedness when Teaching Intraverbals." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4774.

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The intraverbal is argued to be the most socially significant verbal operant and yet it is the least studied. Heal and Hanley (2011) suggest that different teaching strategies will lead to different rates of acquisition and child-preference with the tacting operant. This study continued this research into the realm of intraverbals, with focus on whether the embedded teaching strategy could be punishing on play or engaging in learning opportunities. The teaching strategies of discovery teaching, embedded prompting, and direct teaching were compared to see which strategy correlated with highe

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Bassiouny, Mohamed Aliaa. "The Pricing Behavior of Depository Receipts: Evidence from Emerging Markets." Doctoral thesis, Universitat Ramon Llull, 2012. http://hdl.handle.net/10803/82067.

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Aquesta tesi ofereix un examen en profunditat del comportament d’apreuament de les accions dipositades per part dels mercats emergents que, en gran part, s’han menystingut tot i el seu paper de dominació en l’àmbit del creuament de cotitzacions estrangeres. Les característiques de les accions dipositades fan que tinguin un valor idèntic al del seu stock subjacent i, per tant, esperen ser valorades de la mateixa manera. El fet de dur a terme una anàlisi detallada d’aquesta qüestió ha estat obstaculitzat fins ara per la falta de qualitat de les dades del dia a dia dels mercats emergents, unes in

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27

Johnson, Michelle E., Amy J. Malkus, Laurie L. Webb, and Michelle L. Lee. "Determining the Effectiveness of a 6-Week Preschool Nutrition Intervention Using USDA Team Nutrition Discover Myplate Ebooks: Measuring Nutrition Knowledge, Beliefs, and Behaviors." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/etsu-works/6022.

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Idiri, Bilal. "Méthodologie d’extraction de connaissances spatio-temporelles par fouille de données pour l’analyse de comportements à risques : application à la surveillance maritime." Thesis, Paris, ENMP, 2013. http://www.theses.fr/2013ENMP0086/document.

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Les progrès technologiques en systèmes de localisation (AIS, radar, GPS, RFID, etc.), de télétransmission (VHF, satellite, GSM, etc.), en systèmes embarqués et leur faible coût de production a permis leur déploiement à une large échelle. Énormément de données sur les déplacements d'objets sont produites par le biais de ces technologies et utilisées dans diverses applications de surveillance temps-réel comme la surveillance du trafic maritime. L'analyse a posteriori des données de déplacement de navires et d'événements à risques peut présenter des perspectives intéressantes pour la compréhensio

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Katarina, Gavrić. "Mining large amounts of mobile object data." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2017. https://www.cris.uns.ac.rs/record.jsf?recordId=105036&source=NDLTD&language=en.

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Within this thesis, we examined the possibilities of using an increasing amount ofpublicly available metadata about locations and peoples' activities in order to gainnew knowledge and develop new models of behavior and movement of people. Thepurpose of the research conducted for this thesis was to solve practical problems,such as: analyzing attractive tourist sites, defining the most frequent routes peopleare taking, defining main ways of transportation, and discovering behavioralpatterns in terms of defining strategies to suppress expansion of virus infections. Inthis thesis, a practical

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Abdulrahman, Qasem Al-Molegi. "Contributions to Trajectory Analysis and Prediction: Statistical and Deep Learning Techniques." Doctoral thesis, Universitat Rovira i Virgili, 2019. http://hdl.handle.net/10803/667650.

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A causa de l’estreta relació entre la vida de les persones i determinades ubicacions geogràfiques, les dades històriques sobre trajectòries d’una persona contenen informació valuosa que es pot utilitzar per descobrir els seus estils de vida i hàbits. L’ús generalitzat de dispositius mòbils amb capacitat de localització ha impulsat la mineria de trajectòries (trajectory mining), la qual se centra en la manipulació, el processament i l’anàlisi de dades de trajectòries per facilitar l’extracció de coneixement a partir de l’històric de les trajectòries d’una persona. Basant-nos en aquesta anàlisi,

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Silva, Valdinei Freire da. "Extração de preferências por meio de avaliações de comportamentos observados." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-01072009-131819/.

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Recentemente, várias tarefas tem sido delegadas a sistemas computacionais, principalmente quando sistemas computacionais são mais confiáveis ou quando as tarefas não são adequadas para seres humanos. O uso de extração de preferências ajuda a realizar a delegação, permitindo que mesmo pessoas leigas possam programar facilmente um sistema computacional com suas preferências. As preferências de uma pessoa são obtidas por meio de respostas para questões específicas, que são formuladas pelo próprio sistema computacional. A pessoa age como um usuário do sistema computacional, enquanto este é visto c

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Lonjarret, Corentin. "Sequential recommendation and explanations." Thesis, Lyon, 2021. http://theses.insa-lyon.fr/publication/2021LYSEI003/these.pdf.

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Ces dernière années, les systèmes de recommandation ont reçu beaucoup d'attention avec l'élaboration de nombreuses propositions qui tirent parti des nouvelles avancées dans les domaines du Machine Learning et du Deep Learning. Grâce à l'automatisation de la collecte des données des actions des utilisateurs tels que l'achat d'un objet, le visionnage d'un film ou le clic sur un article de presse, les systèmes de recommandation ont accès à de plus en plus d'information. Ces données sont des retours implicites des utilisateurs (appelé «~implicit feedback~» en anglais) et permettent de conserver l'

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Di, Monte Giovanna. "Animan Space Design : a Parrot Animan Precinct." Diss., University of Pretoria, 2006. http://hdl.handle.net/2263/25342.

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This project stems out of the need to improve the quality of life for both animals and humans, and facilitate the interaction between both environments into one habitat. The design will serve as a framework for the co-habitation and interaction of humans and animals in one habitat. At the core of this dissertation lies the concept of an animan habitat. This term embodies the concept of an intergrated habitat for all species. In arriving at the final design, a sequential thought process was applied. The logic behind this process will now be outlined (each corresponding section will be addressed

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Pavão, Caterina Marta Groposo. "Comportamento de busca e recuperação da informação em serviços de descoberta em rede no contexto acadêmico." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/96705.

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Esta pesquisa teve como objetivo principal desenvolver um modelo de comportamento de busca e recuperação da informação num ambiente ainda não explorado: os serviços de descoberta em rede. Para este fim, foi aplicada a metodologia da teoria fundamentada, o que permitiu conduzir, controlar e organizar a coleta de dados. Os dados formaram a base da teoria e a análise dos mesmos originou os conceitos que foram construídos. Os dados foram coletados durante a interação dos entrevistados com o serviço de descoberta em rede enquanto realizavam tarefas de busca e recuperação da informação. Os entrevist

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Khaled, Maram Ahmed Taha Mohamed. "The Role of the Dopamine D, Receptors in Cue-induced Reinstatement of Nicotine-seeking Behaviour." Thesis, 2011. http://hdl.handle.net/1807/29570.

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Dopamine D3 receptors (DRD3) are implicated in relapse to drugs. The current study investigated the role of DRD3 in cue-induced reinstatement of nicotine-seeking in rats. Rats were trained to lever-press for intravenous infusions of nicotine, associated with the illumination of a cue-light, under a fixed-ratio schedule of reinforcement. Following extinction of the behaviour, where lever pressing had no consequences, reinstatement testing was performed by reintroduction of the cues after systemic or local administration (into discrete brain areas) of the DRD3 selective antagonist SB277011-A. Sy

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Jorge, Carolina Ferreira Gomes Centeio. "Exceptional Behavior Discovery." Master's thesis, 2019. https://hdl.handle.net/10216/122693.

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Torcato, Inês Mota. "Discovery of novel autoinducer-2 receptors." Doctoral thesis, 2019. http://hdl.handle.net/10362/97140.

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"Quorum sensing is a bacterial cell-cell communication mechanism mediated by the production and detection of small chemical molecules named autoinducers. This communication mechanism allows bacteria to regulate group behaviors, through synchronization of gene expression, in response to variation in cell density and species composition. The possibility of interfering with quorum sensing to control bacterial behaviors is an attractive alternative to the commonly used antibiotics, to which bacteria develop resistances. Autoinducer-2 (AI-2) mediated quorum sensing is especially interesting

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Yeh, Yu-Yun, and 葉俞昀. "Price Discovery and Jump Behaviors on VIX Derivatives Markets." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/6xnmdr.

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博士<br>國立中央大學<br>財務金融學系<br>106<br>This study contains two essays on the price discovery and jump behaviors on VIX derivatives markets. The first essay investigates on price discovery across the S&P 500 index, S&P 500 index options, and VIX options markets; whereas the second essay provides a general form of multi-components option pricing model which includes multiple volatility, jump, co-jump, and leverage components, namely, Heterogeneous AutoRegerssive Gamma model for Realized Volatility with Leverage, Jumps, and Co-jumps (CoJJLHARG). First Essay: This paper investigates on price discovery

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WeiMao and 毛威. "Discover the Service Switching Behavior of MIS InternalCustomers." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/64307826781636678524.

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碩士<br>國立成功大學<br>國際經營管理研究所碩士在職專班<br>101<br>To find the internal service switching behavior in Taiwan IT industry. We conducted this article to connect and compare between the (un) satisfactory incidents. Critical incident technique was adopted for gathering over 67 e-service (traditional) incidents from service providers and receivers. Incident resolution was identified as the standard operation procedures (SOP). We got the meaningful findings that unsatisfactory services led to switch. However, the research participant looked forward adopting the non-switched reason and resolution. We grouped

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Tu, Tang-Chen, and 涂堂楨. "Frequency Analysis to Discover Botnet Beacon Communication Behavior." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/8sg8xx.

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碩士<br>中原大學<br>資訊管理研究所<br>107<br>Botnet threats continue to be a growing priority for organizations of all sizes in recent years. The designed malware of botnet is sophisticated and the corresponding communication behavior is inconspicuous. This paper introduces Visualize Intelligence and Temporal Analysis to network traffic as a framework to identify malware behavior hidden on the Internet. In this research, we condense traffic into a graphic and then utilize machine-learning algorithm to locate the behavior of beacon (BoB), which is a vital indication of auto-communication software. Since the

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Chen, Jen-Hua, and 陳振華. "Applying Self-Organizing Map for Discovery Market Behavior of Equity Fund." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/79595663722911774144.

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碩士<br>國立交通大學<br>管理學院碩士在職專班資訊管理組<br>97<br>Investment strategy is something that is important to the general public though at the same time is difficult to be formulated. Mutual fund, as one implementation of the investment strategy, may be a good fit to people without much time or willingness to track their investment portfolio on a frequent basis. The threshold for the mutual fund investment is relatively low. For example, to make single mutual fund investment locally may only cost ten thousands (10,000) NTD. And when people choose to investment their money on a monthly basis only three th

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Yi-Ju, Liu, and 劉乙儒. "Investors' Trading Behavior and Market Price Discovery- The Case of Taiwan Markets." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/09770077962941835145.

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碩士<br>國立臺灣師範大學<br>國際事務與全球戰略研究所<br>102<br>In this study, we modify the information share (IS) originally proposed by Hasbrouck, J.(1995) to discuss investors behavior which included domestic individual investor, domestic and foreign Institutional Investor. And this article also covered three markets to give example, such as Taiwan Stock Exchange Weighted Index (TWSE), Taiwan stock index option (TAIEX Options) and Taiwan stock index future(TAIEX Futures). The implied price of option here is using the Put-Call-Parity to replace the traditional B-S model. We check if there is any connection betwe

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Yang, Ching-Lung, and 楊景隆. "Discovery of Trend Behavior in TFT-LCD Industry with Self-Organizing Map." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/53680335116155141430.

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碩士<br>國立交通大學<br>管理學院碩士在職專班資訊管理組<br>97<br>In recent years, the rapidly fluctuations of macroeconomics to make business enterprises more difficult to get the right views about industry trend and product development trend and corporations to face financial crises depending on the wrong decision at the same time ,especially in the TFT-LCD field belonging to “Two Trillion Double Stars Facilitation Plan” in Taiwan. The major factor of business development is to completely catch the business cycle base on the prediction of world wide demand, expansion of facility, and product development trend. Howev

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Chang, Peishih. "Sifting customers from the clickstream behavior pattern discovery in a virtual shopping environment /." Thesis, 2007. http://library1.njit.edu/etd/fromwebvoyage.cfm?id=njit-etd2007-043.

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黃瓊芬. "Integrating Association Rule Mining and Neural Network for Knowledge Discovery of ETF Behavior." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/63672293901470212600.

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博士<br>國立交通大學<br>資訊管理研究所<br>99<br>Global financial markets have been through an extreme downturn in the wake of crisis associated with sub-prime mortgages, causing many investors to suffer from an enormous loss of their investment. Despite the fact that investors generally will not be able to avoid any financial crisis of the similar scale from occurring again as is the case in high risk stock market which is based on the framework of speculations and business growth variance, one can reduce the risks probability with the aid of information technology. In the past two decades, financial derivat

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陳彥甫. "Applying MACD and Market Profile to Discover the Behavior on TAIEX." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/59519091947176332238.

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碩士<br>國立交通大學<br>資訊管理研究所<br>102<br>There are many analytical methods applying to finance markets diversely. Technical analysis is often used by short or medium term investors, and MACD is one of the most popular indicators in technical analysis. There have been a lot of researches proving the effectiveness of MACD in the market. J.Peter Steidlmayer put forward market profile theory. The theory is that changes in market prices are caused by various types of market participants’ trading behavior. Market does not follow random walk, but it fluctuates with the behavior patterns and rules. In marke

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Lai, Meng-Sheng, and 賴孟昇. "Behavior Anomaly Detection in SDN Control Plane: A Case Study of Topology Discovery Attacks." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/smbt8h.

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碩士<br>國立中央大學<br>資訊工程學系<br>107<br>With the rapid development of information technology and the popularity of smart devices, users' demand for instant processing of network services and diversified services has also increased significantly, making the architecture of traditional network services unable to meet the rapidly changing network architecture of emerging services Demand. Software-defined Networking (SDN) and Network Function Virtualization (NFV) have therefore been proposed to transform complex network architectures into virtual and programmable architectures to reduce network complexit

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Gonçalves, Maria de Fátima Lemos Ferreira Armas. "ZACCAR : sistema de conhecimento para apoio à gestão do relacionamento com clientes." Doctoral thesis, 2003. http://hdl.handle.net/1822/26586.

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Tese de doutoramento em Tecnologias e Sistemas de Informação (área de especialização em Engenharia e Gestão de Sistemas de Informação)<br>Nesta tese apresenta-se uma ferramenta para gestão, integração e consolidação do Conhecimento sobre o Comportamento dos Clientes (CCC) obtido a partir da actuação de ferramentas de data mining sobre bases de dados transaccionais de organizações. As ferramentas de data mining permitem automatizar a detecção de padrões de comportamento dos clientes de uma organização a partir das bases de dados transaccionais, num processo designado por Descoberta do Conh

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Yeh, Shu-Siou, and 葉書秀. "The Study of the Exhibition of the Discovery Center of Taipei and Adult Visitors’ Behavior." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/a9yh7k.

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碩士<br>國立臺灣師範大學<br>社會教育學系<br>96<br>“The Discovery Center of Taipei” provides various types of exhibitions for visitors to interact with to present the history and life facts of Taipei. In Taiwan, the majority of master’s theses related to the audience behavior took the scientific type of museum as a research area; only few researches focuses on social historical type of museums. The purpose of this study is to explore the exhibitions and the adult visitors’ behavior in “The Discovery Center of Taipei” in order to improve the exhibitions of social history museums. This study took the “Dial

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Huang, Wan-Cheng, and 黃萬成. "Applying Back Propagation Neural Network for Discovery Behavior of Opening Patterns of Taiwan Stock Market." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/92053619424594342371.

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碩士<br>國立交通大學<br>管理學院碩士在職專班資訊管理組<br>98<br>Because the rapid change of information transmission, Taiwan stock market is also easy to influence by unexpected events. Many investors’ property changes in the stock market overnight sometimes shrink substantially. Therefore, it is urgent that the stock market investors seeking low risk investment opportunities to reduce the unpredictable risk. In order to prevent the dramatic overnight losses, the long-term investors need to build a hedging model to save their own property. In this study, we apply the theory of artificial intelligence in the field of

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