Bokus
S. Margret Anouncia, Uffe Kock Wiil - Knowledge Computing and its Applications, Inbunden

Inbunden, Engelska, 2018

Knowledge Computing and its Applications

Knowledge Computing in Specific Domains: Volume II

Av S. Margret Anouncia, Uffe Kock Wiil

1225 kr

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Beskrivning
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.
Produktinformation
  • Utgivningsdatum: 2018-04-13
  • Mått: 155 x 235 x 26 mm
  • Vikt: 665 g
  • Format: Inbunden
  • Språk: Engelska
  • Antal sidor: 346
  • Förlag: Springer Verlag, Singapore
  • ISBN: 9789811082573
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Mer om författaren

Margret Anouncia S is a Professor at Vellore Institute of Technology (VIT) University in India. She received her Bachelor’s degree in Computer Science and Engineering from Bharathidasan University (1993), Tiruchirappalli, India and her Master’s in Software Engineering from Anna University (2000), Chennai, India. She was awarded a doctorate in Computer Science and Engineering at VIT University (2008). Her main areas of interest include digital image processing, software engineering and knowledge engineering.  Uffe Kock Wiil received his M.Sc. (1990) and Ph.D. (1993) degrees from Aalborg University, Denmark. He has been a Professor of Software Engineering at the University of Southern Denmark since 2004. His primary research interests are health informatics (clinical decision support systems; patient empowerment) and security informatics (analysis and visualization of crime-related data).

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