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.

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.

Serves as an essential reference work for scholars and practitioners engaged in the knowledge engineering process Presents ideas and processes involved in forming knowledge-based applications Provides valuable insights into applications where knowledge computing is a key factor Includes convincing case studies and intersecting fruitful ideas on knowledge computing applications with illustrated examples

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