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Data Mining Using Qualitative Information on the Web

Data Mining Using Qualitative Information on the Web

Taeho Hong, Woojong Suh
Copyright: © 2008 |Pages: 19
ISBN13: 9781599049519|ISBN10: 1599049511|EISBN13: 9781599049526
DOI: 10.4018/978-1-59904-951-9.ch080
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MLA

Hong, Taeho, and Woojong Suh. "Data Mining Using Qualitative Information on the Web." Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications, edited by John Wang, IGI Global, 2008, pp. 1416-1434. https://doi.org/10.4018/978-1-59904-951-9.ch080

APA

Hong, T. & Suh, W. (2008). Data Mining Using Qualitative Information on the Web. In J. Wang (Ed.), Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (pp. 1416-1434). IGI Global. https://doi.org/10.4018/978-1-59904-951-9.ch080

Chicago

Hong, Taeho, and Woojong Suh. "Data Mining Using Qualitative Information on the Web." In Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications, edited by John Wang, 1416-1434. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-951-9.ch080

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Abstract

Data mining has drawn much attention in generating the useful information from Web data. Data mining techniques have typically considered quantitative information rather than qualitative, though the qualitative information can often be used to improve the quality of a result. This chapter provides a hybrid data mining application, KBNMiner (Knowledge-Based News Miner), to predict interest rates on the basis of qualitative information on the Web as well as quantitative information stored in a database. The KBNMiner is developed through the integration of cognitive maps and neural networks. To validate the effectiveness of the KBNMiner, an experiment with Web news information is conducted and its results are discussed.

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