Knowledge Computing and Its Applications

Knowledge Computing and Its Applications

Author: S. Margret Anouncia

Publisher: Springer

Published: 2018-02-15

Total Pages: 303

ISBN-13: 9811066809

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This book provides a major forum for the technical advancement of knowledge management and its applications across diversified domains. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, data mining, recommender systems, image processing, pattern recognition and predictions using machine learning techniques is the major strength of this book. Effective knowledge management has become a key to the success of business organizations, and can offer a substantial competitive edge. So as to be accessible to all scholars, this book combines the core ideas of knowledge management and its applications in numerous domains, illustrated in case studies. The techniques and concepts proposed here can be extended in future to accommodate changing business organizations’ needs as well as practitioners’ innovative ideas.


Knowledge and Computing

Knowledge and Computing

Author: Tibor Vámos

Publisher: Central European University Press

Published: 2010-02-20

Total Pages: 228

ISBN-13: 6155211809

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The result of the author's extensive practical experience: a decade in computer process control using large scale systems, another decade in machine pattern-recognition for vision systems, and nearly a decade dealing with artificial intelligence and expert systems. These real-life projects have taught Vámos a critical appreciation of, and respect for, both abstract theory and the practical methodology that grows out of—and, in turn, shapes—those theories.Machine representation means a level of formalization that can be expressed by the instruments of mathematics, whereas programming is not more and not less than a special linguistic translation of these mathematical formulae. How these all are related and controlled is a most practical philosophical and computation professional task. Wide experience in the practical fields of computer science, and the research of the underlying theoretical issues have led Vámos to the development of the attitude and activity of constructive skepticism.


Guide to the Software Engineering Body of Knowledge (Swebok(r))

Guide to the Software Engineering Body of Knowledge (Swebok(r))

Author: IEEE Computer Society

Publisher:

Published: 2014

Total Pages: 348

ISBN-13: 9780769551661

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In the Guide to the Software Engineering Body of Knowledge (SWEBOK(R) Guide), the IEEE Computer Society establishes a baseline for the body of knowledge for the field of software engineering, and the work supports the Society's responsibility to promote the advancement of both theory and practice in this field. It should be noted that the Guide does not purport to define the body of knowledge but rather to serve as a compendium and guide to the knowledge that has been developing and evolving over the past four decades. Now in Version 3.0, the Guide's 15 knowledge areas summarize generally accepted topics and list references for detailed information. The editors for Version 3.0 of the SWEBOK(R) Guide are Pierre Bourque (Ecole de technologie superieure (ETS), Universite du Quebec) and Richard E. (Dick) Fairley (Software and Systems Engineering Associates (S2EA)).


Cloud Computing

Cloud Computing

Author: Nayan B. Ruparelia

Publisher: MIT Press

Published: 2016-05-13

Total Pages: 278

ISBN-13: 0262529092

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Why cloud computing represents a paradigm shift for business, and how business users can best take advantage of cloud services. Most of the information available on cloud computing is either highly technical, with details that are irrelevant to non-technologists, or pure marketing hype, in which the cloud is simply a selling point. This book, however, explains the cloud from the user's viewpoint—the business user's in particular. Nayan Ruparelia explains what the cloud is, when to use it (and when not to), how to select a cloud service, how to integrate it with other technologies, and what the best practices are for using cloud computing. Cutting through the hype, Ruparelia cites the simple and basic definition of cloud computing from the National Institute of Science and Technology: a model enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources. Thus with cloud computing, businesses can harness information technology resources usually available only to large enterprises. And this, Ruparelia demonstrates, represents a paradigm shift for business. It will ease funding for startups, alter business plans, and allow big businesses greater agility. Ruparelia discusses the key issues for any organization considering cloud computing: service level agreements, business service delivery and consumption, finance, legal jurisdiction, security, and social responsibility. He introduces novel concepts made possible by cloud computing: cloud cells, or specialist clouds for specific uses; the personal cloud; the cloud of things; and cloud service exchanges. He examines use case patterns in terms of infrastructure and platform, software information, and business process; and he explains how to transition to a cloud service. Current and future users will find this book an indispensable guide to the cloud.


Ancestral Knowledge Meets Computer Science Education

Ancestral Knowledge Meets Computer Science Education

Author: Cueponcaxochitl D. Moreno Sandoval

Publisher: Springer

Published: 2019-03-25

Total Pages: 178

ISBN-13: 113747520X

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This book illustrates a pathway for knowledge production to benefit from interweaving the seemingly disparate historical experiences of Indigenous Peoples and computer science education. The resulting practice of ancestral computing for sustainability holds the power to mitigate the destructive forces of the field, while extending the potential of traditionally underserved and unheard populations. Reimagining the field of computer science, interwoven with traditional lifeways, presents compelling new discoveries in research and harnesses the rich tapestries that are Indigenous populations. Returning healthy lifeways to a center stage long-occupied by tightly controlled, Eurocentric learning methods opens worlds of opportunity that have felt lost to time.


Primary Computing and Digital Technologies: Knowledge, Understanding and Practice

Primary Computing and Digital Technologies: Knowledge, Understanding and Practice

Author: Keith Turvey

Publisher: Learning Matters

Published: 2016-09-14

Total Pages: 600

ISBN-13: 1473995078

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What do you need to know to teach computing in primary schools? How do you teach it? This book offers practical guidance on how to teach the computing curriculum in primary schools, coupled with the subject knowledge needed to teach it. This Seventh Edition is a guide to teaching the computing content of the new Primary National Curriculum. It includes many more case studies and practical examples to help you see what good practice in teaching computing looks like. It also explores the use of ICT in the primary classroom for teaching all curriculum subjects and for supporting learning in every day teaching. New chapters have been added on physical computing and coding and the importance of web literacy, bringing the text up-to-date. Computing is both a subject and a powerful teaching and learning tool throughout the school curriculum and beyond into many areas of children’s learning lives. This book highlights the importance of supporting children to become discerning and creative users of digital technologies as opposed to passive consumers.


Computing Skills for Biologists

Computing Skills for Biologists

Author: Stefano Allesina

Publisher: Princeton University Press

Published: 2019-01-15

Total Pages: 440

ISBN-13: 0691182752

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A concise introduction to key computing skills for biologists While biological data continues to grow exponentially in size and quality, many of today’s biologists are not trained adequately in the computing skills necessary for leveraging this information deluge. In Computing Skills for Biologists, Stefano Allesina and Madlen Wilmes present a valuable toolbox for the effective analysis of biological data. Based on the authors’ experiences teaching scientific computing at the University of Chicago, this textbook emphasizes the automation of repetitive tasks and the construction of pipelines for data organization, analysis, visualization, and publication. Stressing practice rather than theory, the book’s examples and exercises are drawn from actual biological data and solve cogent problems spanning the entire breadth of biological disciplines, including ecology, genetics, microbiology, and molecular biology. Beginners will benefit from the many examples explained step-by-step, while more seasoned researchers will learn how to combine tools to make biological data analysis robust and reproducible. The book uses free software and code that can be run on any platform. Computing Skills for Biologists is ideal for scientists wanting to improve their technical skills and instructors looking to teach the main computing tools essential for biology research in the twenty-first century. Excellent resource for acquiring comprehensive computing skills Both novice and experienced scientists will increase efficiency by building automated and reproducible pipelines for biological data analysis Code examples based on published data spanning the breadth of biological disciplines Detailed solutions provided for exercises in each chapter Extensive companion website


Rough – Granular Computing in Knowledge Discovery and Data Mining

Rough – Granular Computing in Knowledge Discovery and Data Mining

Author: J. Stepaniuk

Publisher: Springer

Published: 2009-01-29

Total Pages: 162

ISBN-13: 3540708014

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This book covers methods based on a combination of granular computing, rough sets, and knowledge discovery in data mining (KDD). The discussion of KDD foundations based on the rough set approach and granular computing feature illustrative applications.


Knowledge Computing and its Applications

Knowledge Computing and its Applications

Author: S. Margret Anouncia

Publisher: Springer

Published: 2018-04-03

Total Pages: 354

ISBN-13: 9811082588

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This book highlights technical advances in knowledge management and their applications across a diverse range of domains. It explores the applications of knowledge computing methodologies in image processing, pattern recognition, health care and industrial contexts. The chapters also examine the knowledge engineering process involved in information management. Given its interdisciplinary nature, the book covers methods for identifying and acquiring valid, potentially useful knowledge sources. The ideas presented in the respective chapters illustrate how to effectively apply the perspectives of knowledge computing in specialized domains.