By Keiichi Noé (auth.), Setsuo Arikawa, Hiroshi Motoda (eds.)
This ebook constitutes the refereed court cases of the 1st overseas convention on Discovery technological know-how, DS'98, held in Fukuoka, Japan, in December 1998.
The quantity offers 28 revised complete papers chosen from a complete of seventy six submissions. additionally incorporated are 5 invited contributions and 34 chosen poster shows. the last word aim of DS'98 and this quantity is to set up discovery technology as a brand new box of study and improvement. The papers offered relate discovery technological know-how to components as formal good judgment, wisdom processing, computing device studying, automatic deduction, looking out, neural networks, database administration, details retrieval, clever community brokers, visualization, wisdom discovery, facts mining, details extraction, etc.
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Additional resources for Discovey Science: First International Conference, DS’98 Fukuoka, Japan, December 14–16, 1998 Proceedings
Graffiti ensures that its conjectures are novel by maintaining a record of previous hypotheses, and ﬁlters many uninteresting conjectures by noting that they seem to be implied by earlier, more general, candidates. Graffiti has generated hundreds of novel conjectures in graph theory, many of which have spurred mathematicians in the area to attempt their proof or refutation. In one case, the conjecture that the ‘average distance’ of a graph is no greater than its ‘independence number’ resulted in a proof that appeared in the refereed mathematical literature (Chung, 1988).
The latter must include the operations allowed when combining variables into laws and the component structures or processes used in explanatory models. The developer may also need to encode background knowledge about the domain in terms of an initial theory or results from earlier stages of the discovery process. Such representational engineering plays an essential role in successful applications of computational discovery. Another important developer activity concerns preparing the data or phenomena on which the discovery system will operate.
The authors recount a number of ways in which they intervened in the discovery process to obtain these results. For example, they reduced the 496 attributes for one database to only 75 features by grouping values about lesions on various organs. The developers also constrained the induction process by specifying that RL should favor some attributes over others when constructing rules and telling it to consider only certain values of a symbolic attribute for a given class, as well as certain types of tests on numeric attributes.
Discovey Science: First International Conference, DS’98 Fukuoka, Japan, December 14–16, 1998 Proceedings by Keiichi Noé (auth.), Setsuo Arikawa, Hiroshi Motoda (eds.)