Abstract
Chance discovery is to notice and explain the significance of a chance, especially if the chance is rare and its significance is unnoticed. Chance discovery is essential for various real requirements in human life. The paper presents the significance and the achieved methods of chance discovery. Fundamental discussions of how to realize chance discovery extracts keys for the progress of chance discovery: communication, imagination, and data mining. As an approach to chance discovery, visualized data mining methods are shown as tools aiding chance discoveries.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Fayyad, U., Shapiro, G.P. and Smyth, P., From Data Mining to Knowledge Discovery in Databases, AI magazine, Vol.17, No.3, 37–54 (1996)
Mannila, H, et al, Discovering Frequent Episodes in Event Sequences, in Proc. First Conf. on Knowledge Discovery and Data Mining (KDD95), (1995)
Weiss, G.M. and Hirsh, H. “Learning to Predict Rare Events in Event Sequences,” in Proc. of KDD-98 359–363 (1998)
Suzuki, E. and Tsumoto, S., Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets, Knowledge Discovery and Data Mining (LNAI 1805, Terano, T. et al eds. Springer Verlag) 208–211 (2000)
Petty, R.E., and Cacioppo, J.T., Attitudes and persuasion: Classic and contemporary approaches. Dubuqute, IA: WC Brown (1981)
McBurney, P. and Parsons, S. Chance Discovery Using Dialectical Argumentation in Proc. CDWS2001 (2001)
Ohsawa, Y. and Nara, Y., Decision Trees as a Model of Chance Perception, Proc. Joint 9th IFSA Congress and 20th NAFIPS International Conference (2001)
Fukuda, H. and Ohsawa, Y., Discovery of Rare Essential Food by Community Navigation with KeyGraph-An introduction to Data-based Community Marketing-, Proc. KES2001 (IOS press), Osaka (2001)
Ohsawa, Y. and Yachida, M., Discover Risky Active Faults by Indexing an Earthquake Sequence, in Proc. International Conference on Discovery Science (DS’99)(1999)
Ohsawa, Y., Matsumura, N., and Ishizuka, M., Discovering Topics to Enhance Communities’ Creation from Links to the Future, Posters Proc.,the World Wide Web Conference (WWW10) (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Ohsawa, Y. (2002). Discovery of Chances Underlying Real Data. In: Arikawa, S., Shinohara, A. (eds) Progress in Discovery Science. Lecture Notes in Computer Science(), vol 2281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45884-0_9
Download citation
DOI: https://doi.org/10.1007/3-540-45884-0_9
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43338-5
Online ISBN: 978-3-540-45884-5
eBook Packages: Springer Book Archive