Authors:
- Extends the functionality of the data warehouse by loading it with relevant (filtered) unstructured content
- Includes state-of-the-art survey on information filtering techniques
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
- how to use data warehouse for filtering Web content
- how to retrieve relevant information from diverse sources on the Web
- how to handle the time aspect
- how to mechanically establish links among data warehouse structures and documents filtered from external sources
- how to use collected information to increase corporate knowledge
and gives a comprehensive example, illustrating the idea of supplying data warehouses with relevant information filtered from the Web.
Authors and Affiliations
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Department of Computer Science, The Poznań University of Economics, Poznań, Poland
Witold Abramowicz, Paweł Kalczyński, Krzysztof Węcel
Bibliographic Information
Book Title: Filtering the Web to Feed Data Warehouses
Authors: Witold Abramowicz, Paweł Kalczyński, Krzysztof Węcel
DOI: https://doi.org/10.1007/978-1-4471-0137-6
Publisher: Springer London
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag London 2002
Hardcover ISBN: 978-1-85233-579-3Published: 24 July 2002
Softcover ISBN: 978-1-4471-1107-8Published: 10 September 2012
eBook ISBN: 978-1-4471-0137-6Published: 28 June 2011
Edition Number: 1
Number of Pages: XII, 267
Topics: Popular Computer Science, Data Structures and Information Theory, Models and Principles, Information Storage and Retrieval