L'Extraction de connaissances dans les bases de données est un processus qui vise à extraire un ensemble réduit de connaissances à fortes valeurs ajoutées à partir d'un grand volume de données. La fouille de données, l'une des étapes de ce processus, regroupe un certain nombre de taches, telles que : le clustering, la classification, l'extraction de règles d'associations, etc.La problématique d'extraction de règles d'association nécessite l'étape d'extraction de motifs fréquents. Nous distinguons plusieurs catégories de motifs : les motifs classiques, les motifs flous, les motifs graduels, les motifs séquentiels. Ces motifs diffèrent selon le type de données à partir desquelles l'extraction est faite et selon le type de corrélation qu'ils présentent.Les travaux de cette thèse s'inscrivent dans le contexte d'extraction de motifs graduels, flous et clos. En effet, nous définissons de nouveaux systèmes de clôture de la connexion de Galois relatifs, respectivement, aux motifs flous et graduels. Ainsi, nous proposons des algorithmes d'extraction d'un ensemble réduit pour les motifs graduels et les motifs flous.Nous proposons également deux approches d'extraction de motifs graduels flous, ceci en passant par la génération automatique des fonctions d'appartenance des attributs.En se basant sur les motifs flous clos et graduels clos, nous définissons des bases génériques de toutes les règles d'association graduelles et floues. Nous proposons également un système d'inférence complet et valide de toutes les règles à partir de ces bases. / Knowledge discovery in databases is a process aiming at extracting a reduced set of valuable knowledge from a huge amount of data. Data mining, one step of this process, includes a number of tasks, such as clustering, classification, of association rules mining, etc.The problem of mining association rules requires the step of frequent patterns extraction. We distinguish several categories of frequent patterns: classical patterns, fuzzy patterns, gradual patterns, sequential patterns, etc. All these patterns differ on the type of the data from which the extraction is done and the type of the relationship that represent.In this thesis, we particularly contribute with the proposal of fuzzy and gradual patterns extraction method.Indeed, we define new systems of closure of the Galois connection for, respectively, fuzzy and gradual patterns. Thus, we propose algorithms for extracting a reduced set of fuzzy and gradual patterns.We also propose two approaches for automatically defining fuzzy modalities that allow obtaining relevant fuzzy gradual patterns.Based on fuzzy closed and gradual closed patterns, we define generic bases of fuzzy and gradual association rules. We thus propose a complet and valid inference system to derive all redundant fuzzy and gradual association rules.

Objective: To explore quality of life in patients with multiple sclerosis. Concept Analysis: A concept analysis of quality of life in multiple sclerosis was conducted using Rodgers’ evolutionary concept analysis method. Eighty-three studies were reviewed. Study Proposal for Secondary Analysis: The proposal was for a secondary analysis using a quantitative, longitudinal, repeated measures design to determine if stem cell transplant has an impact on the quality of life of multiple sclerosis patients with aggressive disease. Summary of Findings: A concept analysis provided valuable insight into the use and understanding of the concept of quality of life in the multiple sclerosis literature. The subjective and multidimensional attributes of quality of life in multiple sclerosis were similar to findings in previous concept analyses of quality of life in general and in other diseases. The other attributes of the concept being measureable, modifiable and predictable revealed the uniqueness of quality of life in multiple sclerosis and provided a foundation for the development of future research. The results of the secondary analysis will provide new knowledge of a novel treatment for multiple sclerosis and its impact on quality of life. This advancement of knowledge in nursing and across health care disciplines will aid in the delivery of collaborative and comprehensive patient-centred care to ultimately improve the lives of multiple sclerosis patients.

Un service Web est un moyen d'offrir des fonctionnalités sur un réseau en utilisant des normes ouvertes pour la description et l'invocation. Les services Web représentent une réalisation importante de l'Architecture Orientée Service (AOS), à l'aide de qui, les applications peuvent être développées rapidement avec un coût bas par couplage faible les services sur un réseau. Cela nécessite la découverte et la composition des ensembles de services interopérables, selon certaines exigences fonctionnelles et non fonctionnelles. Les services Web confrontent de nombreux défis quant à leur découverte et sélection, en raison de plusieurs facteurs tels que: le nombre important de services, le manque de registres publics capables d'offrir des mécanismes efficaces de récupération de service, de leur nature dynamique qui impose divers aspects de QoS tels que la disponibilité, le temps de réponse, etc, et le manque de sémantique dans leurs descriptions d'interface. Dans cette thèse, nous avons deux objectifs principaux. Notre premier objectif est de faciliter la sélection des services Web et d'assurer la continuité du service dans des compositions de services Web. Par conséquent, nous proposons une approche basée sur l'analyse formelle de concepts (AFC) pour classer les services Web dans un premier temps par mots clés, puis par les valeurs de similarité entre leurs opérations. Cette classification est représentée comme un treillis de concepts qui révèle les relations entre les services, ce qui facilite la sélection d'un service nécessaire ainsi que l'identification des potentiels sauvegardes (substitutions en cas de panne). Notre deuxième objectif est de guider l'utilisateur en effectuant une sélection optimisée basée sur des plusieurs critères. Nous définissons un descripteur pour l'utilisateur qui spécifie des exigences fonctionnelles et non fonctionnelles. Dans ce descripteur, les propriétés fonctionnelles sont spécifiées comme un ensemble de mots-clés. Les propriétés non fonctionnelles représentent les niveaux attendus de QoS (bon, mauvais, moyen, ..) ainsi que la composition de services exprimée en tant que liens entre les propriétés fonctionnelles spécifiées. Afin d'atteindre cet objectif, nous proposons une approche basée sur l'analyse relationnelle de concepts (ARC) qui classifie les services Web en treillis de concepts similaires à la AFC, mais enrichis avec les propriétés non-fonctionnelles. Nous proposons également un mécanisme permettant d'interroger le concept de treillis résultant basée sur RCA, selon les exigences spécifiées dans le descripteur. Nous avons validé notre proposition en utilisant des services Web réels extraits de Service-Finder et Seekda (des moteurs de recherche de services Web). Pour l'approche basée sur la AFC, nous avons récupéré un total de 145 services Web que nous avons classés en fonction de leur fonctionnalité. Nous avons montré comment sélectionner efficacement un service offrant les fonctionnalités requises et la manière d'identifier ses sauvegardes. Pour l'approche basée sur RCA, nous avons récupéré 901 services Web que nous avons classés selon leur niveau de QoS et de composabilité. Nous avons vérifié que cette approche permet une sélection efficace des services correspondant aux exigences fonctionnelles et non fonctionnelles spécifiées. / A Web service is a way of offering functionality over a network using open standards for description and invocation. Web services represent an important realization of Service-Oriented Architectures (SOA), using which, applications can be developed rapidly with a low cost by loosely coupling services over a network. This necessitates discovering and composing sets of interoperable services, according to some functional and non-functional requirements.Web services face many challenges regarding their discovery and selection, due to several factors like: the fairly large number of services, the lack of public registries capable of offering efficient service retrieval mechanisms, their dynamic nature which imposes various QoS aspects such as availability, response time, etc., and the lack of semantics in their interface descriptions.In this thesis, we have two main objectives. Our first objective is to facilitate Web service selection and assure service continuity in Web service compositions. Therefore, we propose an approach based on Formal Concept Analysis (FCA) to classify Web services first by keywords then by similarity values between their operations. This classification is represented as a concept lattice that reveals the relations between the services, which facilitates the selection of a needed service as well as the identification of its potential backups (substitution in case of failure).Our second objective is to guide the user towards performing an optimized multi-criteria based selection. We define a user requirements descriptor that specifies the needed functional and non-functional properties. Inside this descriptor, functional properties are specified as a set of keywords. Non-functional properties represent the expected QoS levels (good, bad, medium, ..) as well as the composition of services expressed as links between the specified functional properties. In order to meet this objective, we propose an approach based on Relational Concept Analysis (RCA) that classifies Web services into concept lattices similar to FCA, but enriched with the non-functional properties. We also propose a mechanism to query the resulting RCA-based concept lattices, according to the requirements specified in the descriptor.We validated our proposition using real Web services retrieved from Service-Finder and Seekda Web service search engines. For the FCA-based approach, we retrieved a total of 145 Web services that we classified by their functionality. We showed how to select efficiently a service offering the required functionality and how to identify its backups.For the RCA-based approach, we retrieved 901 Web services that we classified by their QoS and composability levels. We verified that the approach allows an efficient selection of services corresponding to the specified functional and non-functional requirements.

abstract: The number of refugees experiencing displacement is 25.9 million worldwide, with the majority in the last 7 years from Syria. While international government organizations and researchers have called for assessment of refugee health and wellness, research in this vulnerable population is limited. This dissertation is built around humanizing refugee research on health and wellness. The introduction in Chapter 1 provides an overview for the three resulting chapters which are (a) a grounded theory study to gain insight into the lives of Syrian refugees living in displacement; (b) a systematic literature review on wellness in Syrian refugees in displacement; and (c) a concept analysis to examine wellness from the perspective of Syrian refugee women within the context of displacement. Chapter 5 includes the summary, discussion, and recommendations for future research. Chapter 2 consists of three themes which shaped the lives of Syrian refugees during displacement: (a) assets and deficits; (b) official obstacles and supports; and (c) unofficial obstacles and supports. Health emerged as a priority for the refugees which included many dimensions related to the quality of their health and health needs. The results of Chapter 2 precipitated in using wellness as a holistic lens to view Syrian refugee’s health and health needs in Chapter 3. The results of Chapter 3 added a more holistic view of Syrian refugee health, while highlighting the need for improved research methods addressing wellness in Syrian refugees. Chapter 4 clarifies and defines wellness from the perspective of Syrian refugee women. / Dissertation/Thesis / Doctoral Dissertation Nursing and Healthcare Innovation 2020

Description Logic (abbrv. DL) belongs to the field of knowledge representation and reasoning. DL researchers have developed a large family of logic-based languages, so-called description logics (abbrv. DLs). These logics allow their users to explicitly represent knowledge as ontologies, which are finite sets of (human- and machine-readable) axioms, and provide them with automated inference services to derive implicit knowledge. The landscape of decidability and computational complexity of common reasoning tasks for various description logics has been explored in large parts: there is always a trade-off between expressibility and reasoning costs. It is therefore not surprising that DLs are nowadays applied in a large variety of domains: agriculture, astronomy, biology, defense, education, energy management, geography, geoscience, medicine, oceanography, and oil and gas. Furthermore, the most notable success of DLs is that these constitute the logical underpinning of the Web Ontology Language (abbrv. OWL) in the Semantic Web. Formal Concept Analysis (abbrv. FCA) is a subfield of lattice theory that allows to analyze data-sets that can be represented as formal contexts. Put simply, such a formal context binds a set of objects to a set of attributes by specifying which objects have which attributes. There are two major techniques that can be applied in various ways for purposes of conceptual clustering, data mining, machine learning, knowledge management, knowledge visualization, etc. On the one hand, it is possible to describe the hierarchical structure of such a data-set in form of a formal concept lattice. On the other hand, the theory of implications (dependencies between attributes) valid in a given formal context can be axiomatized in a sound and complete manner by the so-called canonical base, which furthermore contains a minimal number of implications w.r.t. the properties of soundness and completeness. In spite of the different notions used in FCA and in DLs, there has been a very fruitful interaction between these two research areas. My thesis continues this line of research and, more specifically, I will describe how methods from FCA can be used to support the automatic construction and extension of DL ontologies from data.

We compute the expected numbers of both formal concepts and proper premises in a formal context that is chosen uniformly at random among all formal contexts of given dimensions.

Constructing description logic ontologies is a difficult task that is normally conducted by experts. Recent results show that parts of ontologies can be constructed from description logic interpretations. However, these results assume the interpretations to be free of errors, which may not be the case for real-world data. To provide some mechanism to handle these errors, the notion of confidence from data mining is introduced into description logics, yielding confident general concept inclusions (confident GCIs) of finite interpretations. The main focus of this work is to prove the existence of finite bases of confident GCIs and to describe some of theses bases explicitly.

Bakgrund: När palliativ vård ges i hemmet är närståendes engagemang och insatser ofta omfattande. Närståendestöd ses som en av hörnstenarna inom den palliativa vården. Under sjukdomen och efter dödsfallet bör de närstående erbjudas att delta i vården och samtidigt själva få stöd. Begreppsutveckling är nödvändig inom sjukvården för att vårdpersonalen ska kunna arbeta utifrån en teoretisk grund som vilar på vårdvetenskapliga begrepp. Dessa begrepp kan uppmärksamma företeelser i vården och vara vägledande i sättet att agera. En förståelse och kännedom om begreppet nätståendestöd kan bidra med ett mer enhetligt arbetssätt avseende närståendestöd inom palliativ hemsjukvård. Syfte: Syftet var att definiera begreppet närståendestöd och belysa begreppets innebörd inom palliativ hemsjukvårdskontext. Metod: För ändamålet gjordes en begreppsanalys av begreppet närståendestöd enligt en metod i åtta steg utvecklad av Walker och Avant. Resultat: En lexikal och en litterär analys av 12 vetenskapliga artiklar resulterade i tre definierade attribut för begreppet närståendestöd inom en palliativ hemsjukvårdskontext: samverkan i nära relationer; individanpassad information och delaktighet i vården och livskvalitétshöjande åtgärder för de som står patienten närmast. Tre förutsättningar för begreppet närståendestöd framkom: förmedla en varaktig trygg och tillgänglig närvaro; tillgodose individuella behov över tid och lyhörd och öppen kommunikation mellan givare och mottagare. Tre konsekvenser för begreppet närståendestöd framkom: ökat välbefinnande hos inblandade parter; förberedelse inför det okända samt bearbetning av upplevelser och känsla av att bli sedd och bekräftad i situationen. Slutsats: Trots att närståendestöd som begrepp speglas i olika kulturella kontexter tycks likheterna dem emellan väga tyngre än skillnaderna när ett brett och ingående analysförfarande har iakttagits.

Bakgrund: När palliativ vård ges i hemmet är närståendes engagemang och insatser ofta omfattande. Närståendestöd ses som en av hörnstenarna inom den palliativa vården. Under sjukdomen och efter dödsfallet bör de närstående erbjudas att delta i vården och samtidigt själva få stöd. Begreppsutveckling är nödvändig inom sjukvården för att vårdpersonalen ska kunna arbeta utifrån en teoretisk grund som vilar på vårdvetenskapliga begrepp. Dessa begrepp kan uppmärksamma företeelser i vården och vara vägledande i sättet att agera. En förståelse och kännedom om begreppet nätståendestöd kan bidra med ett mer enhetligt arbetssätt avseende närståendestöd inom palliativ hemsjukvård. Syfte: Syftet var att definiera begreppet närståendestöd och belysa begreppets innebörd inom palliativ hemsjukvårdskontext. Metod: För ändamålet gjordes en begreppsanalys av begreppet närståendestöd enligt en metod i åtta steg utvecklad av Walker och Avant. Resultat: En lexikal och en litterär analys av 12 vetenskapliga artiklar resulterade i tre definierade attribut för begreppet närståendestöd inom en palliativ hemsjukvårdskontext: samverkan i nära relationer; individanpassad information och delaktighet i vården och livskvalitétshöjande åtgärder för de som står patienten närmast. Tre förutsättningar för begreppet närståendestöd framkom: förmedla en varaktig trygg och tillgänglig närvaro; tillgodose individuella behov över tid och lyhörd och öppen kommunikation mellan givare och mottagare. Tre konsekvenser för begreppet närståendestöd framkom: ökat välbefinnande hos inblandade parter; förberedelse inför det okända samt bearbetning av upplevelser och känsla av att bli sedd och bekräftad i situationen. Slutsats: Trots att närståendestöd som begrepp speglas i olika kulturella kontexter tycks likheterna dem emellan väga tyngre än skillnaderna när ett brett och ingående analysförfarande har iakttagits.

Aim: The aim of the study is to report an analysis of the concept of approachability of the instructor within the context of nursing clinical education. Background: Approachability of the instructor within the context of a nursing clinical education is a concept that is obscure and immature. Design: Concept Analysis Data Sources: A literature search between the years 1985 to present yielded 18 articles that were analyzed. Method: Rodger’s Evolutionary Method was used for the concept analysis. Results: The concept analysis identified the antecedents, attributes and consequences of approachability of the clinical nursing instructor. The antecedent was a student centered teaching philosophy. Based on the analysis, the attributes were divided in active and subtle behaviors of approachability. The active behaviors were encouraging questions, not belittling the students, showing an interest in students and being flexible. The subtle behaviors were identified as non-verbal communication and being available. The consequences include building an interpersonal relationship and creating a positive clinical experience. Using the antecedents, attributes and consequences, a theoretical definition was developed. Conclusion: The implications for future development include development of a tool that measures approachability, relational quantitative studies using the instrument and dissemination new knowledge.