Pregled bibliografske jedinice broj: 413708
Building an Expert System Module for World Ocean Thermocline Analysis: Thermocline Qualitative Modeling
Building an Expert System Module for World Ocean Thermocline Analysis: Thermocline Qualitative Modeling // 32nd International Convention on Information and Communication Technology, Electronics and Microelectronics – MIPRO 2009 / Bogunović, Nikola ; Ribarić, Slobodan (ur.).
Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2009. str. 249-254 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 413708 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Building an Expert System Module for World Ocean Thermocline Analysis: Thermocline Qualitative Modeling
Autori
Trošelj, Marin ; Matetić, Maja ; Grgurić, Gordan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
32nd International Convention on Information and Communication Technology, Electronics and Microelectronics – MIPRO 2009
/ Bogunović, Nikola ; Ribarić, Slobodan - Opatija : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2009, 249-254
ISBN
978-953-233-045-8
Skup
32nd International Convention on Information and Communication Technology, Electronics and Microelectronics – MIPRO 2009
Mjesto i datum
Opatija, Hrvatska, 25.05.2009. - 29.05.2009
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
thermocline modeling; qualitative modeling; conceptual clustering
Sažetak
As the amount of useful data is evolving, we need to create adequate tools which could be used in data analysis and interpretation. We are dealing with the knowledge mining problem concerning World Ocean Atlas 2005 (WOA) which is a data product of the National Oceanographic Data Center (U.S.). In our approach we propose methods such us qualitative modeling and conceptual clustering. The aim is to create an expert system module for the analysis of world ocean thermocline. Expert background knowledge guides the modeling process to the desired thermocline qualitative model which incorporates interesting chunks of knowledge. Learned qualitative thermocline models can be further used in analysis of other data from WOA 2005 related to other oceans and seas.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet informatike i digitalnih tehnologija, Rijeka
Profili:
Maja Matetić
(autor)