An extended process model of knowledge discovery in database

Tianrui Li; Da Ruan

doi:10.1142/9789812702661_0036

An extended process model of knowledge discovery in database

Tianrui Li, Da Ruan

Research output › peer-review

Abstract

Knowledge discovery in database (KDD) is the process of discovering previously unknown and potentially interesting patterns in large databases. This process consists of many interacting steps performing specific data manipulation and transformation operations. Although several process models are already available, they cannot fully satisfy the need of real applications such as information security. In this paper, experiences of the knowledge discovery process are characterized and a new model by means of an extension of the model by Fayyad et al. (1996) is formalized. Two case studies are illustrated why the process model is proposed and in what situation it can be used in practice.

Original language	English
Title of host publication	Applied Computational Intelligence
Subtitle of host publication	Proceedings of the 6th International FLINS Conference
Publisher	World Scientific Publishing Co. Pte Ltd
Pages	185-188
Number of pages	4
ISBN (Print)	9812388737, 9789812388735
DOIs	https://doi.org/10.1142/9789812702661_0036
State	Published - 2004
Event	2004 - 6th International FLINS Conference on Applied Computational Intelligence - Blankenberge Duration: 1 Sep 2004 → 3 Sep 2004 Conference number: FLINS2004

Publication series

Name	Applied Computational Intelligence - Proceedings of the 6th International FLINS Conference

Conference

Conference	2004 - 6th International FLINS Conference on Applied Computational Intelligence
Country/Territory	Belgium
City	Blankenberge
Period	2004-09-01 → 2004-09-03

ASJC Scopus subject areas

General Engineering

Access to Document

10.1142/9789812702661_0036License: Unspecified

Cite this

Li, T., & Ruan, D. (2004). An extended process model of knowledge discovery in database. In Applied Computational Intelligence: Proceedings of the 6th International FLINS Conference (pp. 185-188). (Applied Computational Intelligence - Proceedings of the 6th International FLINS Conference). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789812702661_0036

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Li, T & Ruan, D 2004, An extended process model of knowledge discovery in database. in Applied Computational Intelligence: Proceedings of the 6th International FLINS Conference. Applied Computational Intelligence - Proceedings of the 6th International FLINS Conference, World Scientific Publishing Co. Pte Ltd, pp. 185-188, 2004 - 6th International FLINS Conference on Applied Computational Intelligence, Blankenberge, Belgium, 2004-09-01. https://doi.org/10.1142/9789812702661_0036

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