Resultado de la búsqueda
74 búsqueda de la palabra clave 'Knowledge'
Refinar búsqueda Generar rss de la búsqueda
Link de la búsqueda
Título : Knowledge Synthesis : Western and Eastern Cultural Perspectives Tipo de documento: documento electrónico Autores: Nakamori, Yoshiteru ; SpringerLink (Online service) Editorial: Tokyo : Springer Japan Fecha de publicación: 2016 Otro editor: Imprint: Springer Colección: Translational Systems Sciences, ISSN 2197-8832 num. 5 Número de páginas: IX, 210 p. 73 illus., 1 illus. in color Il.: online resource ISBN/ISSN/DL: 978-4-431-55218-5 Idioma : Inglés (eng) Palabras clave: Social policy Sociology Economics Policy Knowledge - Discourse Sociological Theory Clasificación: 330 Economía en general Resumen: This book provides readers the idea of systemically synthesizing various kind of knowledge, which needs to combine analytical thinking and synthetic thinking. Systems science is expected to help in solving contemporary complex problems, utilizing interdisciplinary knowledge effectively and combining analytical thinking and synthetic thinking efficiently. However, traditional systems science has been divided into two schools: one seeks a systematic procedure to give a correct objective answer; the other develops an emergent, systemic process so that the user can continue exploratory learning. It is not an exaggeration to say that analytical thinking and synthetic thinking have been developed independently, in different schools. This book integrates approaches developed in these two schools, using ideas in knowledge science that have been emerging recently under the influence of Eastern thinking. It emphasizes the importance of utilizing intuition in systems approaches, whereas other books usually try to solve problems rationally and objectively, rejecting subjectivity. This book never denies rationality and objectivity; however, complex problems of today do not always yield to complete analysis. The novelty of this present volume is that it takes in the ideas of synthetic thinking in knowledge science to develop systems science further. The chapter contributors, who are experienced systems scientists with a profound understanding of knowledge management, discuss knowledge synthesis from the Western and Eastern cultural perspectives. The book introduces a theory on systemic knowledge synthesis in an odd chapter and then presents an application of the theory in the next chapter in order to contribute to developing translational systems science Nota de contenido: Chapter 1 Systemic Synthesis and Metaphysics: Eastern versus Western Thinking -- Chapter 2 Multiple Criteria Ranking in Future Network Management -- Chapter 3 Evolutionary Knowledge Creation from an Eastern Perspective -- Chapter 4 Data Mining of Telecommunications Data as an Example of Systemic Synthesis -- Chapter 5 The Meta-Synthesis System Approach -- Chapter 6 Problem Structuring Process by Qualitative Meta-Synthesis Technologies -- Chapter 7 Knowledge Systems Engineering: A Complex System View -- Chapter 8 A Practical Case of Knowledge-Based Archive Management System -- Chapter 9 Systemic Knowledge Synthesis and Justification -- Chapter 10 Community Service Systems Development En línea: http://dx.doi.org/10.1007/978-4-431-55218-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41803 Knowledge Synthesis : Western and Eastern Cultural Perspectives [documento electrónico] / Nakamori, Yoshiteru ; SpringerLink (Online service) . - Tokyo : Springer Japan : Imprint: Springer, 2016 . - IX, 210 p. 73 illus., 1 illus. in color : online resource. - (Translational Systems Sciences, ISSN 2197-8832; 5) .
ISBN : 978-4-431-55218-5
Idioma : Inglés (eng)
Palabras clave: Social policy Sociology Economics Policy Knowledge - Discourse Sociological Theory Clasificación: 330 Economía en general Resumen: This book provides readers the idea of systemically synthesizing various kind of knowledge, which needs to combine analytical thinking and synthetic thinking. Systems science is expected to help in solving contemporary complex problems, utilizing interdisciplinary knowledge effectively and combining analytical thinking and synthetic thinking efficiently. However, traditional systems science has been divided into two schools: one seeks a systematic procedure to give a correct objective answer; the other develops an emergent, systemic process so that the user can continue exploratory learning. It is not an exaggeration to say that analytical thinking and synthetic thinking have been developed independently, in different schools. This book integrates approaches developed in these two schools, using ideas in knowledge science that have been emerging recently under the influence of Eastern thinking. It emphasizes the importance of utilizing intuition in systems approaches, whereas other books usually try to solve problems rationally and objectively, rejecting subjectivity. This book never denies rationality and objectivity; however, complex problems of today do not always yield to complete analysis. The novelty of this present volume is that it takes in the ideas of synthetic thinking in knowledge science to develop systems science further. The chapter contributors, who are experienced systems scientists with a profound understanding of knowledge management, discuss knowledge synthesis from the Western and Eastern cultural perspectives. The book introduces a theory on systemic knowledge synthesis in an odd chapter and then presents an application of the theory in the next chapter in order to contribute to developing translational systems science Nota de contenido: Chapter 1 Systemic Synthesis and Metaphysics: Eastern versus Western Thinking -- Chapter 2 Multiple Criteria Ranking in Future Network Management -- Chapter 3 Evolutionary Knowledge Creation from an Eastern Perspective -- Chapter 4 Data Mining of Telecommunications Data as an Example of Systemic Synthesis -- Chapter 5 The Meta-Synthesis System Approach -- Chapter 6 Problem Structuring Process by Qualitative Meta-Synthesis Technologies -- Chapter 7 Knowledge Systems Engineering: A Complex System View -- Chapter 8 A Practical Case of Knowledge-Based Archive Management System -- Chapter 9 Systemic Knowledge Synthesis and Justification -- Chapter 10 Community Service Systems Development En línea: http://dx.doi.org/10.1007/978-4-431-55218-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41803 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Requirement Engineering for Knowledge-Intensive Processes : Reference Architecture for the Selection of a Learning Management System Tipo de documento: documento electrónico Autores: Wundenberg, Sven-Michael ; SpringerLink (Online service) Editorial: Wiesbaden : Springer Fachmedien Wiesbaden Fecha de publicación: 2015 Otro editor: Imprint: Springer Gabler Colección: BestMasters Número de páginas: XV, 125 p. 38 illus Il.: online resource ISBN/ISSN/DL: 978-3-658-08832-3 Idioma : Inglés (eng) Palabras clave: Business Knowledge management Management Industrial Operations research Decision making and Operation Research/Decision Theory Innovation/Technology Clasificación: 658 Empresas. Organización de empresas Resumen: Sven-Michael Wundenberg discusses the development of a reference architecture for the Learning Management System’s (LMS) selection-process aimed at the system’s implementation in a polytechnic-knowledge-transfer organization. The focus lies on the requirement engineering (RE) process’s quintessence based on research about standard RE-procedures and -approaches combined with LMS-basic knowledge and LMS-best-practice experiences. The resulting reference-architecture, particularly its frameworks and questionnaires, are tested prototypically in the real-life instance of a polytechnic school, the Technikerschule Augsburg (TA), and delivers outstanding results. Contents Knowledgebase about Knowledge/Learning Management Systems Development of a General Applicable Requirement Engineering Reference Architecture Empirical and Operational Testing of the Reference Architecture Target Groups Researchers and students in the fields of knowledge management, requirement management and project management Practitioners in these areas The Author Sven-Michael Wundenberg completed his Master’s Degree under the supervision of Prof. Dr. Michael Bächle at the Professional School of Business and Technology in Kempten /Germany and the Queensland University of Technology in Brisbane/ Australia Nota de contenido: Knowledgebase about Knowledge/Learning Management Systems -- Development of a General Applicable Requirement Engineering Reference Architecture -- Empirical and Operational Testing of the Reference Architecture En línea: http://dx.doi.org/10.1007/978-3-658-08832-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35737 Requirement Engineering for Knowledge-Intensive Processes : Reference Architecture for the Selection of a Learning Management System [documento electrónico] / Wundenberg, Sven-Michael ; SpringerLink (Online service) . - Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Gabler, 2015 . - XV, 125 p. 38 illus : online resource. - (BestMasters) .
ISBN : 978-3-658-08832-3
Idioma : Inglés (eng)
Palabras clave: Business Knowledge management Management Industrial Operations research Decision making and Operation Research/Decision Theory Innovation/Technology Clasificación: 658 Empresas. Organización de empresas Resumen: Sven-Michael Wundenberg discusses the development of a reference architecture for the Learning Management System’s (LMS) selection-process aimed at the system’s implementation in a polytechnic-knowledge-transfer organization. The focus lies on the requirement engineering (RE) process’s quintessence based on research about standard RE-procedures and -approaches combined with LMS-basic knowledge and LMS-best-practice experiences. The resulting reference-architecture, particularly its frameworks and questionnaires, are tested prototypically in the real-life instance of a polytechnic school, the Technikerschule Augsburg (TA), and delivers outstanding results. Contents Knowledgebase about Knowledge/Learning Management Systems Development of a General Applicable Requirement Engineering Reference Architecture Empirical and Operational Testing of the Reference Architecture Target Groups Researchers and students in the fields of knowledge management, requirement management and project management Practitioners in these areas The Author Sven-Michael Wundenberg completed his Master’s Degree under the supervision of Prof. Dr. Michael Bächle at the Professional School of Business and Technology in Kempten /Germany and the Queensland University of Technology in Brisbane/ Australia Nota de contenido: Knowledgebase about Knowledge/Learning Management Systems -- Development of a General Applicable Requirement Engineering Reference Architecture -- Empirical and Operational Testing of the Reference Architecture En línea: http://dx.doi.org/10.1007/978-3-658-08832-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35737 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Advances in Knowledge Management / SpringerLink (Online service) ; Bolisani, Ettore ; Handzic, Meliha (2015)
Título : Advances in Knowledge Management : Celebrating Twenty Years of Research and Practice Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Bolisani, Ettore ; Handzic, Meliha Editorial: Cham : Springer International Publishing Fecha de publicación: 2015 Otro editor: Imprint: Springer Colección: Knowledge Management and Organizational Learning, ISSN 2199-8663 num. 1 Número de páginas: XII, 219 p. 28 illus Il.: online resource ISBN/ISSN/DL: 978-3-319-09501-1 Idioma : Inglés (eng) Palabras clave: Business Organization Planning Information technology Data processing mining and Management IT in Mining Knowledge Discovery Clasificación: 658.011.8 Gestión del conocimiento. Innovación y mejoras en las organizaciones Resumen: This book celebrates the past, present and future of knowledge management. It brings a timely review of two decades of the accumulated history of knowledge management. By tracking its origin and conceptual development, this review contributes to the improved understanding of the field and helps to assess the unresolved questions and open issues. For practitioners, the book provides a clear evidence of value of knowledge management. Lessons learnt from implementations in business, government and civil sectors help to appreciate the field and gain useful reference points. The book also provides guidance for future research by drawing together authoritative views from people currently facing and engaging with the challenge of knowledge management, who signal a bright future for the field Nota de contenido: Analyzing the Past: Knowledge Management: Origins, History and Development -- Knowledge Management Concepts and Models -- A Descriptive Analysis of Knowledge Management Research: Period from 1997 to 2012 -- Acting in Present: Knowledge Management in the Public Sector: UK Case Study Perspectives -- Supporting Business Managers with Knowledge Management -- Understanding and Improving the Professional Toolbox: Communities of Practice as a Paradigmatic Lesson for Knowledge Management -- Predicting the Future: Future Research About Knowledge and Knowledge Management - Results from the Global Knowledge Research Network Study -- What Practitioners (Should) Want and Expect: A Personal Perspective -- The Next Generation of Knowledge Management: Mapping-based Assessment Models En línea: http://dx.doi.org/10.1007/978-3-319-09501-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35446 Advances in Knowledge Management : Celebrating Twenty Years of Research and Practice [documento electrónico] / SpringerLink (Online service) ; Bolisani, Ettore ; Handzic, Meliha . - Cham : Springer International Publishing : Imprint: Springer, 2015 . - XII, 219 p. 28 illus : online resource. - (Knowledge Management and Organizational Learning, ISSN 2199-8663; 1) .
ISBN : 978-3-319-09501-1
Idioma : Inglés (eng)
Palabras clave: Business Organization Planning Information technology Data processing mining and Management IT in Mining Knowledge Discovery Clasificación: 658.011.8 Gestión del conocimiento. Innovación y mejoras en las organizaciones Resumen: This book celebrates the past, present and future of knowledge management. It brings a timely review of two decades of the accumulated history of knowledge management. By tracking its origin and conceptual development, this review contributes to the improved understanding of the field and helps to assess the unresolved questions and open issues. For practitioners, the book provides a clear evidence of value of knowledge management. Lessons learnt from implementations in business, government and civil sectors help to appreciate the field and gain useful reference points. The book also provides guidance for future research by drawing together authoritative views from people currently facing and engaging with the challenge of knowledge management, who signal a bright future for the field Nota de contenido: Analyzing the Past: Knowledge Management: Origins, History and Development -- Knowledge Management Concepts and Models -- A Descriptive Analysis of Knowledge Management Research: Period from 1997 to 2012 -- Acting in Present: Knowledge Management in the Public Sector: UK Case Study Perspectives -- Supporting Business Managers with Knowledge Management -- Understanding and Improving the Professional Toolbox: Communities of Practice as a Paradigmatic Lesson for Knowledge Management -- Predicting the Future: Future Research About Knowledge and Knowledge Management - Results from the Global Knowledge Research Network Study -- What Practitioners (Should) Want and Expect: A Personal Perspective -- The Next Generation of Knowledge Management: Mapping-based Assessment Models En línea: http://dx.doi.org/10.1007/978-3-319-09501-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35446 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Corporate Knowledge Discovery and Organizational Learning : The Role, Importance, and Application of Semantic Business Process Management Tipo de documento: documento electrónico Autores: Gábor, András ; SpringerLink (Online service) ; Ko, Andrea Editorial: Cham : Springer International Publishing Fecha de publicación: 2016 Otro editor: Imprint: Springer Colección: Knowledge Management and Organizational Learning, ISSN 2199-8663 num. 2 Número de páginas: XI, 173 p. 71 illus., 62 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-319-28917-5 Idioma : Inglés (eng) Palabras clave: Business Knowledge management Management information systems Data mining and Mining Discovery Information Systems Clasificación: 658.011.8 Gestión del conocimiento. Innovación y mejoras en las organizaciones Resumen: This book investigates organizational learning from a variety of information processing perspectives. Continuous change and complexity in regulatory, social and economic environments are increasingly forcing organizations and their employees to acquire the necessary job-specific knowledge at the right time and in the right format. Though many regulatory documents are now available in digital form, their complexity and diversity make identifying the relevant elements for a particular context a challenging task. In such scenarios, business processes tend to be important sources of knowledge, containing rich but in many cases embedded, hidden knowledge. This book discusses the possible connection between business process models and corporate knowledge assets; knowledge extraction approaches based on organizational processes; developing and maintaining corporate knowledge bases; and semantic business process management and its relation to organizational learning approaches. The individual chapters reveal the different elements of a knowledge management solution designed to extract, organize and preserve the knowledge embedded in business processes so as to: enrich organizational knowledge bases in a systematic and controlled way, support employees in acquiring job role-specific knowledge, promote organizational learning, and steer human capital investment. All of these topics are analyzed on the basis of real-world cases from the domains of insurance, food safety, innovation, and funding Nota de contenido: Corporate Knowledge Discovery and Organizational Learning - The Role, Importance, and Application of Semantic Business Process Management - The ProKEX Case -- Corporate Semantic Business Process Management -- ProMine: A Text Mining Solution for Concept Extraction and Filtering -- STUDIO - Ontology-Centric Knowledge-Based System -- Ontology Tailoring for Job Role Knowledge -- STUDIO: A Solution on Adaptive Testing -- Future Development: Towards Semantic Compliance Checking En línea: http://dx.doi.org/10.1007/978-3-319-28917-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41590 Corporate Knowledge Discovery and Organizational Learning : The Role, Importance, and Application of Semantic Business Process Management [documento electrónico] / Gábor, András ; SpringerLink (Online service) ; Ko, Andrea . - Cham : Springer International Publishing : Imprint: Springer, 2016 . - XI, 173 p. 71 illus., 62 illus. in color : online resource. - (Knowledge Management and Organizational Learning, ISSN 2199-8663; 2) .
ISBN : 978-3-319-28917-5
Idioma : Inglés (eng)
Palabras clave: Business Knowledge management Management information systems Data mining and Mining Discovery Information Systems Clasificación: 658.011.8 Gestión del conocimiento. Innovación y mejoras en las organizaciones Resumen: This book investigates organizational learning from a variety of information processing perspectives. Continuous change and complexity in regulatory, social and economic environments are increasingly forcing organizations and their employees to acquire the necessary job-specific knowledge at the right time and in the right format. Though many regulatory documents are now available in digital form, their complexity and diversity make identifying the relevant elements for a particular context a challenging task. In such scenarios, business processes tend to be important sources of knowledge, containing rich but in many cases embedded, hidden knowledge. This book discusses the possible connection between business process models and corporate knowledge assets; knowledge extraction approaches based on organizational processes; developing and maintaining corporate knowledge bases; and semantic business process management and its relation to organizational learning approaches. The individual chapters reveal the different elements of a knowledge management solution designed to extract, organize and preserve the knowledge embedded in business processes so as to: enrich organizational knowledge bases in a systematic and controlled way, support employees in acquiring job role-specific knowledge, promote organizational learning, and steer human capital investment. All of these topics are analyzed on the basis of real-world cases from the domains of insurance, food safety, innovation, and funding Nota de contenido: Corporate Knowledge Discovery and Organizational Learning - The Role, Importance, and Application of Semantic Business Process Management - The ProKEX Case -- Corporate Semantic Business Process Management -- ProMine: A Text Mining Solution for Concept Extraction and Filtering -- STUDIO - Ontology-Centric Knowledge-Based System -- Ontology Tailoring for Job Role Knowledge -- STUDIO: A Solution on Adaptive Testing -- Future Development: Towards Semantic Compliance Checking En línea: http://dx.doi.org/10.1007/978-3-319-28917-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41590 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Data Mining and Knowledge Discovery via Logic-Based Methods : Theory, Algorithms, and Applications Tipo de documento: documento electrónico Autores: Triantaphyllou, Evangelos ; SpringerLink (Online service) Editorial: Boston, MA : Springer US Fecha de publicación: 2010 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 43 Número de páginas: XXXIV, 350 p. 91 illus., 9 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4419-1630-3 Idioma : Inglés (eng) Palabras clave: Computer science Operations research Decision making logic Mathematical Data mining Management Science Mining and Knowledge Discovery Logics Meanings of Programs Logic Foundations Research, Formal Languages Operation Research/Decision Theory Clasificación: 51 Matemáticas Resumen: The importance of having efficient and effective methods for data mining and knowledge discovery (DM) is rapidly growing. This is due to the wide use of fast and affordable computing power and data storage media and also the gathering of huge amounts of data in almost all aspects of human activity and interest. While numerous methods have been developed, the focus of this book presents algorithms and applications using one popular method that has been formulated in terms of binary attributes, i.e., by Boolean functions defined on several attributes that are easily transformed into rules that can express new knowledge. This book presents methods that deal with key data mining and knowledge discovery issues in an intuitive manner, in a natural sequence, and in a way that can be easily understood and interpreted by a wide array of experts and end users. The presentation provides a unique perspective into the essence of some fundamental DM issues, many of which come from important real life applications such as breast cancer diagnosis. Applications and algorithms are accompanied by extensive experimental results and are presented in a way such that anyone with a minimum background in mathematics and computer science can benefit from the exposition. Rigor in mathematics and algorithmic development is not compromised and each chapter systematically offers some possible extensions for future research Nota de contenido: Algorithmic Issues -- Inferring a Boolean Function from Positive and Negative Examples -- A Revised Branch-and-Bound Approach for Inferring a Boolean Function from Examples -- Some Fast Heuristics for Inferring a Boolean Function from Examples -- An Approach to Guided Learning of Boolean Functions -- An Incremental Learning Algorithm for Inferring Boolean Functions -- A Duality Relationship Between Boolean Functions in CNF and DNF Derivable from the Same Training Examples -- The Rejectability Graph of Two Sets of Examples -- Application Issues -- The Reliability Issue in Data Mining: The Case of Computer-Aided Breast Cancer Diagnosis -- Data Mining and Knowledge Discovery by Means of Monotone Boolean Functions -- Some Application Issues of Monotone Boolean Functions -- Mining of Association Rules -- Data Mining of Text Documents -- First Case Study: Predicting Muscle Fatigue from EMG Signals -- Second Case Study: Inference of Diagnostic Rules for Breast Cancer -- A Fuzzy Logic Approach to Attribute Formalization: Analysis of Lobulation for Breast Cancer Diagnosis -- Conclusions En línea: http://dx.doi.org/10.1007/978-1-4419-1630-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33602 Data Mining and Knowledge Discovery via Logic-Based Methods : Theory, Algorithms, and Applications [documento electrónico] / Triantaphyllou, Evangelos ; SpringerLink (Online service) . - Boston, MA : Springer US, 2010 . - XXXIV, 350 p. 91 illus., 9 illus. in color : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 43) .
ISBN : 978-1-4419-1630-3
Idioma : Inglés (eng)
Palabras clave: Computer science Operations research Decision making logic Mathematical Data mining Management Science Mining and Knowledge Discovery Logics Meanings of Programs Logic Foundations Research, Formal Languages Operation Research/Decision Theory Clasificación: 51 Matemáticas Resumen: The importance of having efficient and effective methods for data mining and knowledge discovery (DM) is rapidly growing. This is due to the wide use of fast and affordable computing power and data storage media and also the gathering of huge amounts of data in almost all aspects of human activity and interest. While numerous methods have been developed, the focus of this book presents algorithms and applications using one popular method that has been formulated in terms of binary attributes, i.e., by Boolean functions defined on several attributes that are easily transformed into rules that can express new knowledge. This book presents methods that deal with key data mining and knowledge discovery issues in an intuitive manner, in a natural sequence, and in a way that can be easily understood and interpreted by a wide array of experts and end users. The presentation provides a unique perspective into the essence of some fundamental DM issues, many of which come from important real life applications such as breast cancer diagnosis. Applications and algorithms are accompanied by extensive experimental results and are presented in a way such that anyone with a minimum background in mathematics and computer science can benefit from the exposition. Rigor in mathematics and algorithmic development is not compromised and each chapter systematically offers some possible extensions for future research Nota de contenido: Algorithmic Issues -- Inferring a Boolean Function from Positive and Negative Examples -- A Revised Branch-and-Bound Approach for Inferring a Boolean Function from Examples -- Some Fast Heuristics for Inferring a Boolean Function from Examples -- An Approach to Guided Learning of Boolean Functions -- An Incremental Learning Algorithm for Inferring Boolean Functions -- A Duality Relationship Between Boolean Functions in CNF and DNF Derivable from the Same Training Examples -- The Rejectability Graph of Two Sets of Examples -- Application Issues -- The Reliability Issue in Data Mining: The Case of Computer-Aided Breast Cancer Diagnosis -- Data Mining and Knowledge Discovery by Means of Monotone Boolean Functions -- Some Application Issues of Monotone Boolean Functions -- Mining of Association Rules -- Data Mining of Text Documents -- First Case Study: Predicting Muscle Fatigue from EMG Signals -- Second Case Study: Inference of Diagnostic Rules for Breast Cancer -- A Fuzzy Logic Approach to Attribute Formalization: Analysis of Lobulation for Breast Cancer Diagnosis -- Conclusions En línea: http://dx.doi.org/10.1007/978-1-4419-1630-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33602 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
PermalinkPermalinkPermalink
Permalink
Permalink
