Pregled bibliografske jedinice broj: 141486
Time series classification based on discrete-space feature extraction
Time series classification based on discrete-space feature extraction // Modelling and Simulation 2003, ESM '2003 / Di Martino, Beniamino ; Yang, Laurence Tianruo ; Bobeanu, Carmen (ur.).
Ghent: Eurosis-ETI, 2003. str. 221-225 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Time series classification based on discrete-space feature extraction
Autori
Jagnjić, Željko ; Bogunović, Nikola ; Jović, Franjo
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Modelling and Simulation 2003, ESM '2003
/ Di Martino, Beniamino ; Yang, Laurence Tianruo ; Bobeanu, Carmen - Ghent : Eurosis-ETI, 2003, 221-225
Skup
The 2003 European Simulation and Modelling Conference
Mjesto i datum
Napulj, Italija, 27.10.2003. - 29.10.2003
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
time-series analysis ; qualitative ; decision ; parameter identification ; model design
Sažetak
In this paper we present time-series classification method based on discrete-space feature extraction. The main characteristics of the method are expansion and coding of quantitative time-series data. Expansion and coding will result in creation of qualitative difference vector. Qualitative difference vector conveys the full information on the variation of the particular time-series and can be seen as a single point in n-dimensional discrete-space. From discrete-space, symbolic and numeric features are extracted and used for the decision tree construction that is later used in time-series classification. The proposed method was tested in the context of Control Chart Pattern data, which are time-series used in Statistical Process Control. Obtained results are compared with other similar methods.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo