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"Contents :- Three learning models- Understand problems and social opportunities; apply social learning to common training programs- Implement your social strategy- A social learning advocate - References & resources- Job aid: promoting employee participation in social learning- Job aid: social learning strategy checklist"

"Contents :- What social learning is not - Social learning technologies - Trends in social learning - Dealing with critics and objections - How to implement social learning - What's next - References & resources - Job aid "

""This reference set demonstrates exhaustively the many applications, issues, and techniques applied to the science of recording, categorizing, using and learning from the experiences and expertise acquired by the modern organization"--Provided by publisher."

"Part I. Machine Learning Tools and Techniques: 1. What?s iIt all about?; 2. Input: concepts, instances, and attributes; 3. Output: knowledge representation; 4. Algorithms: the basic methods; 5. Credibility: evaluating what?s been learned -- Part II. Advanced Data Mining: 6. Implementations: real machine learning schemes; 7. Data transformation; 8. Ensemble learning; 9. Moving on: applications and beyond -- Part III. The Weka Data MiningWorkbench: 10. Introduction to Weka; 11. The explorer -- 12. The knowledge flow interface; 13. The experimenter; 14 The command-line interface; 15. Embedded machine learning; 16. Writing new learning schemes; 17. Tutorial exercises for the weka explorer."

"This book describes efforts to improve subject-independent automated classification techniques using a better feature extraction method and a more efficient model of classification. It evaluates three popular saliency criteria for feature selection, showing that they share common limitations, including time-consuming and subjective manual de-facto standard practice, and that existing automated efforts have been predominantly used for subject dependent setting. It then proposes a novel approach for anomaly detection, demonstrating its effectiveness and accuracy for automated classification of biomedical data, and arguing its applicability to a wider range of unsupervised machine learning applications in subject-independent settings."

"Policies to increase participation in learning need to concern themselves not only with increasing access and appreciating the different contexts in which learning takes place, but also with the different forms of learning. This report constitutes an exploratory study of the submerged mass of learning, which takes place informally and implicitly. "