Chance Discovery

Chance discovery means discovering chances -- the breaking points in systems, the marketing windows in business, etc. It involves determining the significance of some piece of information about an event and then using this new knowledge in decision making. The techniques developed combine data minin...

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Bibliographic Details
Other Authors: Ohsawa, Yukio (Editor), McBurney, Peter (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2003, 2003
Edition:1st ed. 2003
Series:Advanced Information Processing
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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100 1 |a Ohsawa, Yukio  |e [editor] 
245 0 0 |a Chance Discovery  |h Elektronische Ressource  |c edited by Yukio Ohsawa, Peter McBurney 
250 |a 1st ed. 2003 
260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 2003, 2003 
300 |a XXI, 402 p  |b online resource 
505 0 |a 1. Modeling the Process of Chance Discovery -- 2. Decisions by Chance and on Chance: Meanings of Chance in Recent News Stories -- 3. Prediction, Forecasting, and Chance Discovery -- 4. Self-organizing Complex Systems -- 5. Anatomy of Rare Events in a Complex Adaptive System -- 6. Human-to-Human Communication for Chance Discovery in Business -- 7. Topic Diffusion in a Community -- 8. Dimensional Representations of Knowledge in an Online Community -- 9. Discovery of Tacit Knowledge and Topical Ebbs and Flows Within the Utterances of an Online Community -- 10. Agent Communications for Chance Discovery -- 11. Logics of Argumentation for Chance Discovery -- 12. Awareness and Imagination of Hidden Factors and Rare Events -- 13. Effects of Scenic Information -- 14. The Storification of Chances -- 15. The Prepared Mind: the Role of Representational Change in Chance Discovery -- 16. Abduction and Analogy in Chance Discovery -- 17. Active Mining with Visual Human Interface -- 18. KeyGraph: Visualized Structure Among Event Clusters -- 19. Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs -- 20. Enhancing Daily Conversations -- 21. Chance Discoveries from the WWW -- 22. Detection of Earthquake Risks with KeyGraph -- 23. Application to Questionnaire Analysis -- 24. Chance Discovery for Consumers -- 25. Application to Understanding Consumers’ Latent Desires -- Author Index 
653 |a Mathematical statistics 
653 |a The Computer Industry 
653 |a Computer science 
653 |a Computer science / Mathematics 
653 |a Probability and Statistics in Computer Science 
653 |a Computer industry 
653 |a Artificial Intelligence 
653 |a Application software 
653 |a Artificial intelligence 
653 |a Earth sciences 
653 |a Computer and Information Systems Applications 
653 |a Theory of Computation 
653 |a Earth Sciences 
700 1 |a McBurney, Peter  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
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490 0 |a Advanced Information Processing 
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520 |a Chance discovery means discovering chances -- the breaking points in systems, the marketing windows in business, etc. It involves determining the significance of some piece of information about an event and then using this new knowledge in decision making. The techniques developed combine data mining methods for finding rare but important events with knowledge management, groupware, and social psychology. The reader will find many applications, such as finding information on the Internet, recognizing changes in customer behavior, detecting the first signs of an imminent earthquake, etc. This first book dedicated to chance discovery covers the state of the art in the theory and methods and examines typical scenarios, and it thus appeals to researchers working on new techniques and algorithms and also to professionals dealing with real-world applications