Knowledge-Based Learning in Exploratory Science: Learning Rules to Predict Rodent Carcinogenicity
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Machine Learning
Pattern Discovery in Biosequences
ICGI '98 Proceedings of the 4th International Colloquium on Grammatical Inference
Toward Genomic Hypothesis Creator: View Designer for Discovery
DS '98 Proceedings of the First International Conference on Discovery Science
The Computer-Aided Discovery of Scientific Knowledge
DS '98 Proceedings of the First International Conference on Discovery Science
VM lambda: A Functional Calculusfor Scientific Discovery
FLOPS '02 Proceedings of the 6th International Symposium on Functional and Logic Programming
Mining from Literary Texts: Pattern Discovery and Similarity Computation
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Foundations of Designing Computational Knowledge Discovery Processes
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
VML: A View Modeling Language for Computational Knowledge Discovery
DS '01 Proceedings of the 4th International Conference on Discovery Science
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We discuss the significance of designing views on data in a computational system assisting scientists in the process of discovery. A view on data is considered as a particular way to interpret the data. In the scientific literature, devising a new view capturing the essence of data is a key to discovery. A system HYPOTHESISCREATOR, which we have been developing to assist scientists in the process of discovery, supports users' designing views on data and have the function of searching for good views on the data. In this paper we report a series of computational experiments on scientific data with HypothesisCreator and analyses of the produced hypotheses, some of which select several views good for explaining given data, searched and selected from over ten millions of designed views. Through these experiments we have convinced that view is one of the important factors in discovery process, and that discovery systems should have an ability of designing and selecting views on data in a systematic way so that experts on the data can employ their knowledge and thoughts efficiently for their purposes.