864 resultados para Data mining methods
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This study presents an understanding of how a U.S. based, international MBA school has been able to achieve competitive advantage within a relatively short period of time. A framework is built to comprehend how the dynamic capability and value co-creation theories are connected and to understand how the dynamic capabilities have enabled value co-creation to happen between the school and its students, leading to such competitive advantage for the school. The data collection method followed a qualitative single-case study with a process perspective. Seven semi-structured interviews were made in September and October of 2015; one current employee of the MBA school was interviewed, with the other six being graduates and/or former employees of the MBA school. In addition, the researcher has worked as a recruiter at the MBA school, enabling to build bridges and a coherent whole of the empirical findings. Data analysis was conducted by first identifying themes from interviews, after which a narrative was written and a causal network model was built. Thus, a combination of thematic analysis, narrative and grounded theory were used as data analysis methods. This study finds that value co-creation is enabled by the dynamic capabilities of the MBA school; also capabilities would not be dynamic if value co-creation did not take place. Thus, this study presents that even though the two theories represent different level analyses, they are intertwined and together they can help to explain competitive advantage. The MBA case school’s dynamic capabilities are identified to be the sales & marketing capabilities and international market creation capabilities, thus the study finds that the MBA school does not only co-create value with existing students (customers) in the school setting, but instead, most of the value co-creation happens between the school and the student cohorts (network) already in the recruiting phase. Therefore, as a theoretical implication, the network should be considered as part of the context. The main value created seem to lie in the MBA case school’s international setting & networks. MBA schools around the world can learn from this study; schools should try to find their own niche and specialize, based on their own values and capabilities. With a differentiating focus and a unique and practical content, the schools can and should be well-marketed and proactively sold in order to receive more student applications and enhance competitive advantage. Even though an MBA school can effectively be treated as a business, as the study shows, the main emphasis should still be on providing quality education. Good content with efficient marketing can be the winning combination for an MBA school.
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Developing nations vary in data usage techniques with respect to developed nations because of lack of standard information technology architecture. With the concept of globalization in the modern times, there is a necessity of information sharing between different developing nations for better advancements in socio-economic and science and technology fields. A robust IT architecture is needed and has to be built between different developing nations which eases information sharing and other data usage methods. A framework like TOGAF may work in this case as a normal IT framework may not fit to meet the requirements of an enterprise architecture. The intention of the thesis is to build an enterprise architecture between different developing nations using a framework TOGAF
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Modern automobiles are no longer just mechanical tools. The electronics and computing services they are shipping with are making them not less than a computer. They are massive kinetic devices with sophisticated computing power. Most of the modern vehicles are made with the added connectivity in mind which may be vulnerable to outside attack. Researchers have shown that it is possible to infiltrate into a vehicle’s internal system remotely and control the physical entities such as steering and brakes. It is quite possible to experience such attacks on a moving vehicle and unable to use the controls. These massive connected computers can be life threatening as they are related to everyday lifestyle. First part of this research studied the attack surfaces in the automotive cybersecurity domain. It also illustrated the attack methods and capabilities of the damages. Online survey has been deployed as data collection tool to learn about the consumers’ usage of such vulnerable automotive services. The second part of the research portrayed the consumers’ privacy in automotive world. It has been found that almost hundred percent of modern vehicles has the capabilities to send vehicle diagnostic data as well as user generated data to their manufacturers, and almost thirty five percent automotive companies are collecting them already. Internet privacy has been studies before in many related domain but no privacy scale were matched for automotive consumers. It created the research gap and motivation for this thesis. A study has been performed to use well established consumers privacy scale – IUIPC to match with the automotive consumers’ privacy situation. Hypotheses were developed based on the IUIPC model for internet consumers’ privacy and they were studied by the finding from the data collection methods. Based on the key findings of the research, all the hypotheses were accepted and hence it is found that automotive consumers’ privacy did follow the IUIPC model under certain conditions. It is also found that a majority of automotive consumers use the services and devices that are vulnerable and prone to cyber-attacks. It is also established that there is a market for automotive cybersecurity services and consumers are willing to pay certain fees to avail that.
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Discussions concerning the challenges of combining work and family are certainly not new, and still actively continue. There is, however, a silence in the related literature regarding a comprehensive description of integrating specifically university academic ~. work and family responsibilities. This silence is especially evident for men who are parents as well as academics. With the participation of 4 key informants, this qualitative research study gave voice to men and women who participate in the academic labour of a Canadian university as professors, and as graduate students, along with the parenting labour of at least 1 child under the age of7. Methodology was developed to reveal in-depth perspectives regarding the work practices employed by 4 key informants as they combined intellectual and child-care responsibilities. Multiple data collection methods included journal reflections, day time observation sessions, a focus group, and a final evaluation questionnaire. Using research findings, together with information extrapolated from Three Models of the Family (Eichler, 1997), this study also took steps toward developing a Proposed "Three Models of the University," to offer explanation for the work practices of the key informants as academics/parents, and also for future consideration in university policy formation.
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This action research assesses a framework that assists business educators in promoting leadership within a classroom. It is designed to better prepare students to assume leadership and fill the "leadership gap" in business. Two classes of 2nd-year community college business students participated in running and managing their own business community as teams of sales professionals by developing and practicing their own individual leadership for 28 weeks during their sales courses. The intent was to assess the development of leadership resulting from the implementation of the "Business Leadership in the Classroom" framework. This framework balances leadership principles to simulate a business environment with the practical elements of a learning community under the facilitation of an experienced business educator. The action research approach was used to assess and adjust approaches to business leadership on a continuous basis throughout the research. Data were collected from 61 students based on journals, surveys, peer group reviews, and my (facilitator) reflective journal.The findings reveal that both individual and collective business leadership views and practical skills developed over time. A business leadership mind-set evolved that ranged from a general awareness of the importance of leadership, to a conscious and deliberate use of individual leadership. Areas important in building a progression of leadership included: leadership teams, membership roles, weekly leadership teams, peer feedback, and activity-based learning. Emerging themes included leadership, leadership style, teamwork, as well as influence and motivation. The research framework was effective in supporting the development of business leadership but required some adjustments. These included increased structure and feedback mechanisms. Interpretation of the findings demonstrates the importance of real-world practical education in the classroom. Results show how focusing on a single mind-set such as business leadership, can result in enormous individual growth and development. When business students are encouraged to act as real businesspeople, managing their own learning, the results are effective in preparing them for the business world. All participants expressed their leadership in different ways based on personality and individual strengths. There was an overwhelming and, in some cases, passionate interest in leadership. The use of action research with a range of data collection methods provides a way to measure and track individual student learning and to generate adjustments to the research framework design and learning approaches. The findings generate implications and recommendations to continue this research further. Key recommendations center around how to ensure leadership development is sustained, including improved approaches to heighten the real-world feel of the classroom. Specifically, the use of leadership goals and action plans for each individual participant and an active use of outside business resource people as contacts for participants is recommended.
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This study examined the impact that collaborative learning had on the assessment and evaluation of writing practices of a group of teachers as they engaged in a community of learners. The study explored the development of teacher knowledge and perceptions as well as the implementation of effective assessment strategies in writing for students in grades 4 to 8 that could be achieved through collaboration. Teachers' perceptions of the value of collaboration were also embedded within the study. Multiple methods of data collection were used to gather rich and descriptive data. Those methods included interviews, observation, and documentation of meetings and of participants' perceptions of their assessment and evaluation practices. Five preexisting themes describing desired outcomes of change were used to analyze the data. These themes included: knowledge, attitude, skill, aspiration, and behaviour. While it was difficult to identify definitively the degree oflearning achieved by the participants, conclusions can be drawn that the participants experienced learning and some change in the areas of knowledge and skill, attitude, aspiration, and behaviour. What was notable was the continued belief on the part of the participants of the value of collaboration as a means of learning.
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The National Lacrosse League (NLL) is floundering. In an attempt to understand why NLL fans attend games and other sport fans do not, the NLL’s Edmonton Rush were studied. To best address the NLL’s attendance woes, two primary research questions were developed: 1) Why do fans of the Oilers and Oil Kings choose not to attend Edmonton Rush games? 2) Why do fans of the Edmonton Rush attend games? To answer these questions an online focus group along with a document analysis of Rush media, and a telephone interview were used to collect data. The data collection methods mentioned above assisted in answering the primary and secondary research questions, which allowed three major themes along with sub-themes to inductively emerge. The nonfans of the Rush do not attend Rush games because of the connection they have with hockey and the disconnection they have with lacrosse, some are simply not interested or were not entertained, as well as the lack of exposure the Rush receive. The Rush fan participants attend Rush games because of Edmonton community pride, the entertainment value they get out of attending a game, it is a great alternative new sport experience and it either is a substitute or a compliment to hockey. Both the nonfan and fan participants of this study believe that different marketing approaches can be utilized in order to attract nonfans to attend games.
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Rough Set Data Analysis (RSDA) is a non-invasive data analysis approach that solely relies on the data to find patterns and decision rules. Despite its noninvasive approach and ability to generate human readable rules, classical RSDA has not been successfully used in commercial data mining and rule generating engines. The reason is its scalability. Classical RSDA slows down a great deal with the larger data sets and takes much longer times to generate the rules. This research is aimed to address the issue of scalability in rough sets by improving the performance of the attribute reduction step of the classical RSDA - which is the root cause of its slow performance. We propose to move the entire attribute reduction process into the database. We defined a new schema to store the initial data set. We then defined SOL queries on this new schema to find the attribute reducts correctly and faster than the traditional RSDA approach. We tested our technique on two typical data sets and compared our results with the traditional RSDA approach for attribute reduction. In the end we also highlighted some of the issues with our proposed approach which could lead to future research.
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Mobile augmented reality applications are increasingly utilized as a medium for enhancing learning and engagement in history education. Although these digital devices facilitate learning through immersive and appealing experiences, their design should be driven by theories of learning and instruction. We provide an overview of an evidence-based approach to optimize the development of mobile augmented reality applications that teaches students about history. Our research aims to evaluate and model the impacts of design parameters towards learning and engagement. The research program is interdisciplinary in that we apply techniques derived from design-based experiments and educational data mining. We outline the methodological and analytical techniques as well as discuss the implications of the anticipated findings.
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Mobile augmented reality applications are increasingly utilized as a medium for enhancing learning and engagement in history education. Although these digital devices facilitate learning through immersive and appealing experiences, their design should be driven by theories of learning and instruction. We provide an overview of an evidence-based approach to optimize the development of mobile augmented reality applications that teaches students about history. Our research aims to evaluate and model the impacts of design parameters towards learning and engagement. The research program is interdisciplinary in that we apply techniques derived from design-based experiments and educational data mining. We outline the methodological and analytical techniques as well as discuss the implications of the anticipated findings.
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The curse of dimensionality is a major problem in the fields of machine learning, data mining and knowledge discovery. Exhaustive search for the most optimal subset of relevant features from a high dimensional dataset is NP hard. Sub–optimal population based stochastic algorithms such as GP and GA are good choices for searching through large search spaces, and are usually more feasible than exhaustive and deterministic search algorithms. On the other hand, population based stochastic algorithms often suffer from premature convergence on mediocre sub–optimal solutions. The Age Layered Population Structure (ALPS) is a novel metaheuristic for overcoming the problem of premature convergence in evolutionary algorithms, and for improving search in the fitness landscape. The ALPS paradigm uses an age–measure to control breeding and competition between individuals in the population. This thesis uses a modification of the ALPS GP strategy called Feature Selection ALPS (FSALPS) for feature subset selection and classification of varied supervised learning tasks. FSALPS uses a novel frequency count system to rank features in the GP population based on evolved feature frequencies. The ranked features are translated into probabilities, which are used to control evolutionary processes such as terminal–symbol selection for the construction of GP trees/sub-trees. The FSALPS metaheuristic continuously refines the feature subset selection process whiles simultaneously evolving efficient classifiers through a non–converging evolutionary process that favors selection of features with high discrimination of class labels. We investigated and compared the performance of canonical GP, ALPS and FSALPS on high–dimensional benchmark classification datasets, including a hyperspectral image. Using Tukey’s HSD ANOVA test at a 95% confidence interval, ALPS and FSALPS dominated canonical GP in evolving smaller but efficient trees with less bloat expressions. FSALPS significantly outperformed canonical GP and ALPS and some reported feature selection strategies in related literature on dimensionality reduction.
Resumo:
The curse of dimensionality is a major problem in the fields of machine learning, data mining and knowledge discovery. Exhaustive search for the most optimal subset of relevant features from a high dimensional dataset is NP hard. Sub–optimal population based stochastic algorithms such as GP and GA are good choices for searching through large search spaces, and are usually more feasible than exhaustive and determinis- tic search algorithms. On the other hand, population based stochastic algorithms often suffer from premature convergence on mediocre sub–optimal solutions. The Age Layered Population Structure (ALPS) is a novel meta–heuristic for overcoming the problem of premature convergence in evolutionary algorithms, and for improving search in the fitness landscape. The ALPS paradigm uses an age–measure to control breeding and competition between individuals in the population. This thesis uses a modification of the ALPS GP strategy called Feature Selection ALPS (FSALPS) for feature subset selection and classification of varied supervised learning tasks. FSALPS uses a novel frequency count system to rank features in the GP population based on evolved feature frequencies. The ranked features are translated into probabilities, which are used to control evolutionary processes such as terminal–symbol selection for the construction of GP trees/sub-trees. The FSALPS meta–heuristic continuously refines the feature subset selection process whiles simultaneously evolving efficient classifiers through a non–converging evolutionary process that favors selection of features with high discrimination of class labels. We investigated and compared the performance of canonical GP, ALPS and FSALPS on high–dimensional benchmark classification datasets, including a hyperspectral image. Using Tukey’s HSD ANOVA test at a 95% confidence interval, ALPS and FSALPS dominated canonical GP in evolving smaller but efficient trees with less bloat expressions. FSALPS significantly outperformed canonical GP and ALPS and some reported feature selection strategies in related literature on dimensionality reduction.
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Les schémas en annexe ont été réalisés avec le logiciel Adobe Illustrator.
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Dans les centres d’hébergement et de soins de longue durée (CHSLD), jusqu’à 80 % des personnes admises vivent avec une démence (Conseil des aînés, 2007). Parmi ces personnes âgées, plusieurs crient. Ce comportement a fait l’objet de quelques études, mais ces études ne fournissent pas une compréhension des sens de ces cris qui pourrait orienter le choix d’interventions face à ces personnes et leur entourage. À l’aide de la perspective infirmière de Leininger (2001) et de la théorie de la communication et des interactions à l’intérieur de triades d’Adams et Gardiner (2005), le but de cette étude était de décrire les sens des cris de personnes âgées vivant avec une démence et les facteurs les influençant en tenant compte de la perspective des personnes âgées, de leurs aidants familiaux et de leurs soignants. Pour atteindre ce but, l’ethnographie critique a été choisie comme méthode. L’étude s’est découlée dans un CHSLD au sein duquel sept triades, composées de personnes âgées vivant avec une démence qui crient, d’aidants familiaux principaux et de soignants, ont été recrutées selon un échantillonnage théorique. Diverses méthodes de collecte des données ont été utilisées dont l’observation des personnes âgées et du milieu et des entrevues semi-dirigées auprès des aidants et soignants. L’analyse des données a été effectuée à l’aide des quatre approches proposées par Spradley (1979) soit l’analyse : des domaines, taxonomique, componentielle et thématique. Les résultats ont permis d’identifier des thèmes sur les sens des cris et sur les facteurs influençant ceux-ci. Les cris peuvent avoir pour sens la vulnérabilité, la souffrance et la perte de sens vécues par la personne âgée. Ce comportement peut aussi indiquer diverses finalités, par exemple l’expression d’insatisfactions ou d’émotions. Ces finalités peuvent être distinguées à partir de critères de modulation tels que la prévisibilité des cris ou un faciès émotif. Par ailleurs, divers aspects rendent les sens des cris singuliers. La stabilité et la flexibilité dans la façon d’organiser les soins ainsi que l’effet réciproque entre les personnes âgées qui crient et les autres personnes dans le CHSLD se sont dégagées comme étant des facteurs qui influencent les sens des cris. Il s’est aussi révélé que les cris de chaque personne âgée peuvent être considérés comme un langage unique que les aidants et les soignants sont en mesure d’apprendre et qui influence l’interprétation des sens des cris. L’accompagnement de la personne âgée, en tenant compte de ses volontés, ses besoins et de sa personnalité, les fluctuations dans les relations de pouvoir au sein des triades personnes âgées-aidants-soignants et les sentiments d’impuissance et de culpabilité des aidants et des soignants sont d’autres facteurs qui influencent les cris. Les connaissances découlant de cette étude augmentent la compréhension sur les sens des cris des personnes âgées vivant avec une démence. Elles ont des implications pour les divers champs d’activités des infirmières et qui pourront contribuer à offrir des soins culturellement cohérents et caring pour les personnes âgées vivant avec une démence et leur entourage.
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Les politiques éducatives se multiplient à l’échelle des pays industrialisés mais celles-ci semblent rencontrer de graves problèmes d’atteinte de résultats concrets et satisfaisants. La mise en œuvre d’une politique, notamment les stratégies gouvernementales « hybrides » sélectionnées, c’est-à-dire des stratégies d’implantation de politiques qui misent à la fois sur des stratégies « top-down » et aussi « bottom-up », semble être un élément-clé à considérer pour leur efficience (Gather-Thurler, 2000; Van Zanten, 2004; Fullan, 2005, 2007). Or, les connaissances concernant ces stratégies de mise en œuvre sont partielles, encore peu développées et les raisons qui expliquent ces choix politiques se font rares; ce qui rend la production de politiques effectives et durables difficile (Fullan, 2000; Leithwood et Earl, 2000; Van Zanten, 2004). Le Québec a entrepris, en 1997, une réforme à grande échelle de son système d’éducation; réforme qui mise explicitement sur des stratégies gouvernementales « hybrides » pour sa réalisation. Cette étude s’attarde à cette réforme, plus spécifiquement à sa réforme du curriculum au primaire, afin de : 1) retracer les grands moments-clés de la mise en œuvre de la politique associés aux différentes dimensions du concept d’« hybridité »; 2) identifier et décrire les stratégies gouvernementales « hybrides » qui leur sont associées; 3) formuler des hypothèses explicatives provisoires et les valider; 4) élaborer un modèle explicatif et 5) expliciter l’incidence du modèle proposé sur les théories existantes. Cette étude de cas est effectuée par l’entremise de deux formes de cueillette de données complémentaires : une analyse documentaire et des entrevues semi-dirigées. Une analyse documentaire est réalisée à partir des documents formels de l’autorité publique (N=14) et d’une revue de presse, de 1995 à 2003 (N=648). Les entrevues (N=23) visent, pour leur part, à recueillir les propos des : 1) concepteurs et décideurs; 2) opérationnalisateurs; 3) concepteurs-opérationnalisateurs et 4) experts. La combinaison des données recueillies permet d’établir la comparaison entre le processus et la structure (Meny et Thoenig, 1989), le prescriptif et l’effectif, afin de comprendre la vraie dynamique qui a animé le processus de mise en œuvre de la politique étudiée. Ainsi, l’examen du processus de mise en œuvre de la réforme du curriculum québécois du primaire permet de retracer le modèle d’implantation de la politique curriculaire québécoise. Ce modèle d’implantation novateur fait état du fait que des stratégies hybrides non improvisées et exigeantes furent pensées et proposées par les autorités québécoises. Ce modèle d’implantation élaboré permettait de penser que la politique curriculaire québécoise allait, possiblement, permettre d’obtenir des résultats tangibles et durables dans les milieux scolaires. L’analyse de la structure de mise en œuvre révèle, pour sa part, que les stratégies d’implantation qui se sont déployées sur le terrain rejoignaient presqu’intégralement les stratégies « hybrides » initialement prévues. Le processus d’implantation a cependant connu une évolution différente de celle attendue. La mise en œuvre concrète qui s’est vécue sur le terrain fut difficile et hasardeuse, malgré l’approche « hybride » adoptée. Les éléments qui expliquent les difficultés d’implantation vécues sont présentés et analysés dans cette étude.