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Abramowicz / Kalczynski / Wecel

Filtering the Web to Feed Data Warehouses

Springer Book Archives
1st Edition. 2002. Buch. xii, 267 S.: Bibliographien. Hardcover
Springer ISBN 978-1-85233-579-3
Format (B x L): 15,5 x 23,5 cm
Gewicht: 1270 g
In englischer Sprache
Information is a key factor in business today, and data warehousing has become a major activity in the development and management of information systems to support the proper flow of information. Unfortunately, the majority of information systems are based on structured information stored in organizational databases, which means that the company is isolated from the business environment by concentrating on their internal data sources only. It is therefore vital that organizations take advantage of external business information, which can be retrieved from Internet services and mechanically organized within the existing information structures. Such a continuously extending integrated collection of documents and data could facilitate decision-making processes in the organization. Filtering the Web to Feed Data Warehouses discusses areas such as:

- 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.

Audience

Research

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128,39 €
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Webcode: beck-shop.de/bjkzg
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