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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.
List of contents
Part I. Knowledge Manipulation Techniques for Internet Technologies.- Chapter 1. Implementation of Connected Dominating Set in Fog Computing using Knowledge upgraded IoT Devices.- Chapter 2. Developing Security Intelligence in Big Data.- Chapter 3. Methods to Investigate Concept Drift in Big Data Streams.- Chapter 4. Semantic Interpretation of Tweets: A Contextual Knowledge Based Approach for Tweet Analysis.- Chapter 5. Workload Assessment for a Sustainable Manufacturing Paradigm Using Social Network Analysis Method.- Part II. Knowledge Computing for Large Organizations.- Chapter 6. Virtual Data Warehouse Model Employing Crypto-math Algorithm and Intelligent Sensor Algorithm for Secured Transmission and Performance Enhancement.- Chapter 7. Framework for Geo Spatial Query Processing by Integrating Cassandra with Hadoop.- Chapter 8. Knowledge Computational Intelligence in Network Intrusion Detection Systems.- Chapter 9. Efficacy of Knowledge Mining and Machine Learning Techniques in Health Care Industry.- Chapter 10. Cryptanalysis of Protocol for Enhanced Threshold Proxy Signature Scheme Based on Elliptic Curve Cryptography for Known Signers.- Chapter 11. Partial Fractional Derivative (PFD) based Texture Analysis Model for Medical Image Segmentation.- Chapter 12. Breast Cancer Classification using Deep Neural Networks.- Part III. Knowledge Computing and Competency Development.- Chapter 13. Sense Disambiguation of English Simple Prepositions in the Context of English-Hindi Machine Translation System.- Chapter 14. Block-level Handwritten Indic Script Identification using 4-directional Mask Oriented Features.- Chapter 15. User Interface Design recommendations through Multi Criteria Decision Analysis.- Chapter 16. Affirmation of Emotionally Resilient Students by Eliminating Adolescent Psychiatric Disorder with the Employment of Cognitive Behavioural Therapy.
About the author
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 a 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 areas of interest include digital image processing, software engineering and knowledge engineering.
Uffe Kock Wiil received M.Sc. (1990) and Ph.D. (1993) degrees from Aalborg University, Aalborg, Denmark. He has been a Professor of Software Engineering at the University of Southern Denmark, 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).
Summary
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.
