Obiekt

Tytuł: Survival analysis on data streams: Analyzing temporal events in dynamically changing environments

Autor:

Shaker, Ammar ; Hüllermeier, Eyke

Data wydania:

2014

Typ zasobu:

artykuł

Współtwórca:

Korbicz, Józef (1951- ) - red. ; Kowal, Marek - red.

Podtytuł:

.

Tytuł publikacji grupowej:

AMCS, Volume 24 (2014)

Abstract:

In this paper, we introduce a method for survival analysis on data streams. Survival analysis (also known as event history analysis) is an established statistical method for the study of temporal "events" or, more specifically, questions regarding the temporal distribution of the occurrence of events and their dependence on covariates of the data sources. To make this method applicable in the setting of data streams, we propose an adaptive variant of a model that is closely related to the well-known Cox proportional hazard model. ; Adopting a sliding window approach, our method continuously updates its parameters based on the event data in the current time window. As a proof of concept, we present two case studies in which our method is used for different types of spatio-temporal data analysis, namely, the analysis of earthquake data and Twitter data. In an attempt to explain the frequency of events by the spatial location of the data source, both studies use the location as covariates of the sources.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Identyfikator zasobu:

oai:zbc.uz.zgora.pl:78925

DOI:

10.2478/amcs-2014-0015

Strony:

199-212

Źródło:

AMCS, volume 24, number 1 (2014) ; kliknij tutaj, żeby przejść

Jezyk:

eng

Licencja CC BY 4.0:

kliknij tutaj, żeby przejść

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego

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