Nursing Concept Analysis
Nursing Concept Analysis

Author: Joyce J. Fitzpatrick, PhD, MBA, RN, FAAN

Publisher: Springer Publishing Company

Published: 2016-01-28

Total Pages: 327

ISBN-13: 0826126820

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The only text to feature examples of 30 key concept analyses supporting nursing research and practice This DNP and PhD doctoral-level nursing text delivers analyses of 30 core concepts that define nursing theory, research, education, and professional practice. Grounded in the concept analysis framework developed by Walker and Avant, the book clearly demonstrates how concepts are used to build theory, support research, and improve education and professional practice. Designed to facilitate practical applications of concept analysis methodology, all chapters provide an explicit description of each concept and a consistent framework for its analysis. Additionally, a diagrammatic representation of characteristics across concepts allows readers to make comparisons and ultimately to build on the text’s knowledge base. Expert authors from clinical and research disciplines focus on the core of nursing-- the nurse-patient relationship--grouping concepts into the categories of patient/client-focused concepts, career-focused concepts, and organizational/systems-focused concepts. Within these groups the book addresses such contemporary themes as hope, postpartum depression, resilience, self-care, cultural competence, and many others. With its expansive descriptions and analyses of key nursing concepts within a consistent framework, the book will help nurse scholars to develop a sophisticated analytic ability and provide graduate nursing students with a foundation for developing a DNP capstone or PhD research project. Key Features: Offers in-depth description and analyses of 30 core concepts relevant to nursing and related disciplines Provides a consistent analytic framework throughout Demonstrates a highly practical application of concept analysis methodology Includes diagrams of characteristics across concepts for comparison Authored by renowned scholars and practitioners

Formal Concept Analysis
Formal Concept Analysis

Author: Bernhard Ganter

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 289

ISBN-13: 3642598307

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This first textbook on formal concept analysis gives a systematic presentation of the mathematical foundations and their relations to applications in computer science, especially in data analysis and knowledge processing. Above all, it presents graphical methods for representing conceptual systems that have proved themselves in communicating knowledge. The mathematical foundations are treated thoroughly and are illuminated by means of numerous examples, making the basic theory readily accessible in compact form.

Formal Concept Analysis
Formal Concept Analysis

Author: Bernhard Ganter

Publisher: Springer Science & Business Media

Published: 2005-07-14

Total Pages: 359

ISBN-13: 3540278915

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Formal concept analysis has been developed as a field of applied mathematics based on the mathematization of concept and concept hierarchy. It thereby allows us to mathematically represent, analyze, and construct conceptual structures. The formal concept analysis approach has been proven successful in a wide range of application fields. This book constitutes a comprehensive and systematic presentation of the state of the art of formal concept analysis and its applications. The first part of the book is devoted to foundational and methodological topics. The contributions in the second part demonstrate how formal concept analysis is successfully used outside of mathematics, in linguistics, text retrieval, association rule mining, data analysis, and economics. The third part presents applications in software engineering.

Concept Analysis in Nursing
Concept Analysis in Nursing

Author: John Paley

Publisher: Routledge

Published: 2023-05

Total Pages: 0

ISBN-13: 9780367705947

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Concept analysis is an established genre of inquiry in nursing, introduced in the 1970s. Currently, over 100 concept studies are published annually, yet the methods used within this field have rarely been questioned. In Concept Analysis in Nursing: A New Approach, Paley provides a critical analysis of the philosophical assumptions that underpin nursing's concept analysis methods. He argues, provocatively, that there are no such things as concepts, as traditionally conceived. Drawing on Wittgenstein and Construction Grammar, the book first makes a case for dispensing with the traditional concept of a 'concept', and then provides two examples of a new approach, examining the use of 'hope' and 'moral distress'. Casting doubt on the assumption that 'hope' always stands for an 'inner' state of the person, the book shows that the word's function varies with the grammatical construction it appears in. Similarly, it argues that 'moral distress' is not the name of a mental state, but a normative classification used to bolster a narrative concerning nursing's identity. Concept Analysis in Nursing is a fresh and challenging book written by a philosopher interested in nursing. It will appeal to researchers and postgraduate students in the areas of nursing, health, philosophy and linguistics. It will also interest those familiar with the author's previous book, Phenomenology as Qualitative Research.

Analyses of Concept Learning
Analyses of Concept Learning

Author: Herbert J. Klausmeier

Publisher: Academic Press

Published: 2014-05-12

Total Pages: 287

ISBN-13: 1483261360

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Analyses of Concept Learning covers the papers presented at a Conference on Analyses of Concept Learning, sponsored by the Research and Development Center for Learning and Re-education of the University of Wisconsin, held in October 1965. The book focuses on efficient learning for children, youth, and adults, including concept learning, problem solving, and progresses in cognitive abilities. The selection first offers information on the formal analysis of concepts, psychological nature of concepts, and analysis of concepts from the point of view of the structure of intellect. The text then examines the relationships between concept learning and verbal learning and meaningfulness and concept. Discussions focus on linguistic analysis of nonsense syllables, linguistic concepts as determiners of meaningfulness, stimulus selection and stimulus bias, response learning and associative learning, and implicit associative responses. The book takes a look at the learning of principles, developmental approach to conceptual growth, and learning in adulthood. Topics include consistency in mental abilities, comparison with long-range trends in stability of mental functions, anxiety derived from conflicts over learning, motivation to maximize similarity to a model, and the scientific meaning of concept. Meaningful reception learning and the acquisition of concepts and a model for the analysis of inquiry are also discussed. The selection is a vital reference for researchers interested in concept learning.

Design Thinking Business Analysis
Design Thinking Business Analysis

Author: Thomas Frisendal

Publisher: Springer Science & Business Media

Published: 2012-09-27

Total Pages: 135

ISBN-13: 3642328431

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​This book undertakes to marry the concepts of "Concept Mapping" with a "Design Thinking" approach in the context of business analysis. While in the past a lot of attention has been paid to the business process side, this book now focusses information quality and valuation, master data and hierarchy management, business rules automation and business semantics as examples for business innovation opportunities. The book shows how to take "Business Concept Maps" further as information models for new IT paradigms. In a way this books redefines and extends business analysis towards solutions that can be described as business synthesis or business development. Business modellers, analysts and controllers, as well as enterprise information architects, will benefit from the intuitive modelling and designing approach presented in this book. The pragmatic and agile methods presented can be directly applied to improve the way organizations manage their business concepts and their relationships. "This book is a great contribution to the information management community. It combines a theoretical foundation with practical methods for dealing with important problems. This is rare and very useful. Conceptual models that communicate business reality effectively require some degree of creative imagination. As such, they combine the results of business analysis with communication design, as is extensively covered in this book." Dr. Malcolm Chisholm, President at AskGet.com Inc. “Truly understanding business requirements has always been a major stumbling block in business intelligence (BI) projects. In this book, Thomas Frisendal introduces a powerful technique—business concept mapping—that creates a virtual mind-meld between business users and business analysts. Frisendal does a wonderful explaining and demonstrating how this tool can improve the outcome of BI and other development projects ." Wayne Eckerson, executive director, BI Leadership Forum

Complex Data Analytics with Formal Concept Analysis
Complex Data Analytics with Formal Concept Analysis

Author: Rokia Missaoui

Publisher: Springer

Published: 2023-07-01

Total Pages: 0

ISBN-13: 9783030932800

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FCA is an important formalism that is associated with a variety of research areas such as lattice theory, knowledge representation, data mining, machine learning, and semantic Web. It is successfully exploited in an increasing number of application domains such as software engineering, information retrieval, social network analysis, and bioinformatics. Its mathematical power comes from its concept lattice formalization in which each element in the lattice captures a formal concept while the whole structure represents a conceptual hierarchy that offers browsing, clustering and association rule mining. Complex data analytics refers to advanced methods and tools for mining and analyzing data with complex structures such as XML/Json data, text and image data, multidimensional data, graphs, sequences and streaming data. It also covers visualization mechanisms used to highlight the discovered knowledge. This edited book examines a set of important and relevant research directions in complex data management, and updates the contribution of the FCA community in analyzing complex and large data such as knowledge graphs and interlinked contexts. For example, Formal Concept Analysis and some of its extensions are exploited, revisited and coupled with recent processing parallel and distributed paradigms to maximize the benefits in analyzing large data.

Concept Data Analysis
Concept Data Analysis

Author: Claudio Carpineto

Publisher: John Wiley & Sons

Published: 2004-10-22

Total Pages: 220

ISBN-13: 0470011289

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With the advent of the Web along with the unprecedented amount of information available in electronic format, conceptual data analysis is more useful and practical than ever, because this technology addresses important limitations of the systems that currently support users in their quest for information. Concept Data Analysis: Theory & Applications is the first book that provides a comprehensive treatment of the full range of algorithms available for conceptual data analysis, spanning creation, maintenance, display and manipulation of concept lattices. The accompanying website allows you to gain a greater understanding of the principles covered in the book through actively working on the topics discussed. The three main areas explored are interactive mining of documents or collections of documents (including Web documents), automatic text ranking, and rule mining from structured data. The potentials of conceptual data analysis in the application areas being considered are further illustrated by two detailed case studies. Concept Data Analysis: Theory & Applications is essential for researchers active in information processing and management and industry practitioners who are interested in creating a commercial product for conceptual data analysis or developing content management applications.

Concept Development in Nursing
Concept Development in Nursing

Author: Beth L. Rodgers

Publisher:

Published: 2000

Total Pages: 484

ISBN-13:

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This book presents state-of-the-art methods for developing concepts appropriate for nursing. It presents a wide array of approaches to concept developments, ranging from the classic to the cutting-edge in a matter that balances philosophical foundations with techniques and practical examples. Explores approaches ranging from the classic to constructivist to critical or postmodern Balances philosophy and methods, illustrating each method with a complete example of a specific concept developed using that method.

Rough Sets and Current Trends in Computing
Rough Sets and Current Trends in Computing

Author: Shusaku Tsumoto

Publisher: Springer Science & Business Media

Published: 2004-05-21

Total Pages: 871

ISBN-13: 3540221174

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In recent years rough set theory has attracted the attention of many researchers and practitioners all over the world, who have contributed essentially to its development and applications. Weareobservingagrowingresearchinterestinthefoundationsofroughsets, including the various logical, mathematical and philosophical aspects of rough sets. Some relationships have already been established between rough sets and other approaches, and also with a wide range of hybrid systems. As a result, rough sets are linked with decision system modeling and analysis of complex systems, fuzzy sets, neural networks, evolutionary computing, data mining and knowledge discovery, pattern recognition, machine learning, and approximate reasoning. In particular, rough sets are used in probabilistic reasoning, granular computing (including information granule calculi based on rough mereology), intelligent control, intelligent agent modeling, identi?cation of autonomous s- tems, and process speci?cation. Methods based on rough set theory alone or in combination with other - proacheshavebeendiscoveredwith awide rangeofapplicationsinsuchareasas: acoustics, bioinformatics, business and ?nance, chemistry, computer engineering (e.g., data compression, digital image processing, digital signal processing, p- allel and distributed computer systems, sensor fusion, fractal engineering), de- sion analysis and systems, economics, electrical engineering (e.g., control, signal analysis, power systems), environmental studies, informatics, medicine, mole- lar biology, musicology, neurology, robotics, social science, software engineering, spatial visualization, Web engineering, and Web mining.