Knowledge Computing and its Applications Knowledge Computing in Specific Domains: Volume II /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Margret Anouncia, S. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Wiil, Uffe Kock (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Application software.; Computational intelligence.; Artificial intelligence.; Information Systems Applications (incl. Internet).; Computational Intelligence.; Artificial Intelligence.

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 kno...

Πίνακας περιεχομένων:

• 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.