1 online resource
Knowledge computing and its applications Volume 2, Knowledge computing in specific domains
β Scribed by Anouncia, S. Margret; Wiil, Uffe Kock (eds.)
- Publisher
- Springer
- Year
- 2018
- Tongue
- English
- Leaves
- 354
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Content: Part I. Knowledge Processing in Specific Domains.- Chapter 1. Probabilistic Graphical Models for Medical Image Mining Challenges of New Generation.- Chapter 2. Pipeline crack detection using Mathematical Morphological Operator.- Chapter 3. Efficiency of Multi Instance Learning In Educational Data Mining.- Chapter 4. Ontology driven Decision Support Systems for Healthcare.- Chapter 5. Prediction of Land cover Changes in Vellore district of Tamil Nadu by Using Satellite Image Processing.- Chapter 6. An integrated approach for optimal feature selection and anatomic location identification on paediatric foreign body aspired radiographic images.- Chapter 7. A Comparative Analysis of Local Pattern Descriptors for Face Recognition.- Part II. Knowledge Engineering Process in Information Management.- Chapter 1. Agent based architecture for developing recommender system in libraries.- Chapter 2. Knowledge Management using Recommender Systems.- Chapter 3. Meta-search engine: A technology for Information extraction in Knowledge Computing.- Chapter 4. A Coverage on Recommender System.- Chapter 5. Recommender Frameworks Outline System Design and Strategies: A Review.- Chapter 6. Ontology Design and use for Subjective Evaluation of Computer Science Examinations.- Chapter 7. A survey on Feature Selection and Extraction Techniques for High Dimensional Micro Array Data sets.- Chapter 8. An Investigation on E-Learning Tools and Techniques towards Knowledge Management.
π SIMILAR VOLUMES
<p><p>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
1 online resource (xxi, 293 pages) :
<p><P>Knowledge-Driven Computing constitutes an emerging area of intensive research located at the intersection of Computational Intelligence and Knowledge Engineering with strong mathematical foundations. It embraces methods and approaches coming from diverse computational paradigms, such as evolut
<p>This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 t