A time series representation for temporal Web mining

Author

Samia, Mireille ; Conrad, Stefan

Author_Institution

Inst. of Comput. Sci. Databases & Inf. Syst., Heinrich-Heine-Univ. Dusseldorf

fYear

0

fDate

0-0 0

Firstpage

132

Lastpage

140

Abstract

Mining data collected over time without ignoring its temporal information is highly needed for the advance of the information society. The awareness of the need for treating temporal data as an ordered collection of events is increasing. However, using temporal data as temporal sequences without any preprocessing fails to retrieve relevant features of the corresponding data. Therefore, before applying mining techniques, an appropriate representation of temporal sequences is required. Our representation of time series aims at improving the possibility of specifying and finding a significant event. In our new approach, we propose to use data band ranges and areas in order to determine the importance or the weight of a segment. According to the closeness of a segment to a data band range, this new representation can help to discover a significant occurrence. Our representation of time series can be used in different domains, including aviation science and earth science, and can also be applied to, for instance, temporal Web mining. This paper emphasizes on our representation of time series

Keywords

data mining; temporal databases; data band areas; data band ranges; data mining; temporal Web mining; temporal data; temporal sequences representation; time series representation; Aircraft propulsion; Clouds; Computer science; Data mining; Databases; Geoscience; Volcanic ash; Volcanoes; Web mining; Wind speed;

fLanguage

English

Publisher

ieee

Conference_Titel

Databases and Information Systems, 2006 7th International Baltic Conference on

Conference_Location

Vilnius

Print_ISBN

1-4244-0345-6

Type

conf

DOI

10.1109/DBIS.2006.1678487

Filename

1678487