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From Temporal Data Mining and Web Mining To Temporal Web Mining

author/s: Mireille Samia, Stefan Conrad
type:Inproceedings
booktitle:Proceedings of the Sixth International Baltic Conference on Databases and Information Systems (BalticDB&IS'2004)
address:Riga, Latvia
pages:232-245
month:June
year:2004
ISBN:9984-770-11-7
ISSN:1407-2157
Abstract

Treating data with temporal information as temporal data, and not as static, is becoming the concern of different domains. Temporal Web mining is a new approach, which deals with real time data. Temporal Web mining extends temporal data mining and Web mining. It concerns theWeb mining of data with significant temporal information. It can be used in different areas, such as finance, engineering, environmental sciences, earth sciences, and medicine. Its main goal is to analyze local and Web data in real time in order to discover relevant temporal information. This paper presents the new concept Temporal Web Mining (TWM), focuses on its architecture, and discusses some of its application scenarios, such as volcanism and seismology, and flooding.

Heinrich Heine Universität

Datenbanken und Informationssysteme

Lehrstuhlinhaber

Prof. Dr. Stefan Conrad


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40225 Düsseldorf
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Sekretariat

Lisa Lorenz



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40225 Düsseldorf
Gebäude: 25.12
Etage/Raum: 02.22
Tel.: +49 211 81-11312
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