Pregled bibliografske jedinice broj: 81314
Generating actionable knowledge by expert-guided subgroup discovery
Generating actionable knowledge by expert-guided subgroup discovery // Proceedings of 6th European Conference on Principles of Data Mining and Knowledge Discovery / Elomaa, Tapio; Mannila, Heikki; Toivonen, Hannu (ur.).
Berlin: Springer, 2002. str. 163-174 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Generating actionable knowledge by expert-guided subgroup discovery
Autori
Gamberger, Dragan ; Lavrač, Nada
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 6th European Conference on Principles of Data Mining and Knowledge Discovery
/ Elomaa, Tapio; Mannila, Heikki; Toivonen, Hannu - Berlin : Springer, 2002, 163-174
Skup
6th European Conference on Principles of Data Mining and Knowledge Discovery
Mjesto i datum
Helsinki, Finska, 19.08.2002. - 23.08.2002
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
actionable knowledge; subgroup discovery; rule quality
Sažetak
This paper discusses actionable knowledge generation. Actionable knowledge is explicit symbolic knowledge, typically presented in the form of rules, that allows the decision maker to recognize some important relations and to perform an action, such as targeting a direct marketing campaign, or planning a population screening campaign aimed at targeting individuals with high disease risk. The disadvantages of using standard classification rule learning for this task are discussed, and a subgroup discovery approach proposed. This approach uses a novel definition of rule quality which is extensively discussed.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
