The Chamois reconfigurable data-mining architecture

Won Kim; Ki Joon Chae; Dong Sub Cho; Byoungju Choi; Anmo Jeong; Myung Kim; Ki Ho Lee; Meejeong Lee; Minsoo Lee; Sang Ho Lee; Seung Soo Park; Hwan Seung Yong; Ho Sook Kim; Jung Won Lee; Wol Young Lee

doi:10.5381/jot.2002.1.2.c2

The Chamois reconfigurable data-mining architecture

Won Kim, Ki Joon Chae, Dong Sub Cho, Byoungju Choi, Anmo Jeong, Myung Kim, Ki Ho Lee, Meejeong Lee, Minsoo Lee, Sang Ho Lee, Seung Soo Park, Hwan Seung Yong, Ho Sook Kim, Jung Won Lee, Wol Young Lee

Department of Computer Science & Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

The process of knowledge discovery in data (KDD) stored in computers in general requires iterations of three stages: data preparation, data mining, and results analysis. A variety of software tools are available for each of the stages. KDD environments, objectives of KDD, and types of data to be mined affect the choice of software tools in each stage. This article proposes a component-based architecture for an "end-to-end" integrated suite of KDD software tools that supports the entire KDD process. The architecture allows the configuring of an integrated tool suite with software tools appropriate for a given KDD environment and a given set of KDD objectives. The architecture is a part of the Chamois component-based knowledge-engineering framework under development at Ewha Women's University in Korea.

Original language	English
Pages (from-to)	21-33
Number of pages	13
Journal	Journal of Object Technology
Volume	1
Issue number	2
DOIs	https://doi.org/10.5381/jot.2002.1.2.c2
State	Published - 2002

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10.5381/jot.2002.1.2.c2

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abstract = "The process of knowledge discovery in data (KDD) stored in computers in general requires iterations of three stages: data preparation, data mining, and results analysis. A variety of software tools are available for each of the stages. KDD environments, objectives of KDD, and types of data to be mined affect the choice of software tools in each stage. This article proposes a component-based architecture for an {"}end-to-end{"} integrated suite of KDD software tools that supports the entire KDD process. The architecture allows the configuring of an integrated tool suite with software tools appropriate for a given KDD environment and a given set of KDD objectives. The architecture is a part of the Chamois component-based knowledge-engineering framework under development at Ewha Women's University in Korea.",

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AU - Kim, Won

AU - Chae, Ki Joon

AU - Cho, Dong Sub

AU - Choi, Byoungju

AU - Jeong, Anmo

AU - Kim, Myung

AU - Lee, Ki Ho

AU - Lee, Meejeong

AU - Lee, Minsoo

AU - Lee, Sang Ho

AU - Park, Seung Soo

AU - Yong, Hwan Seung

AU - Kim, Ho Sook

AU - Lee, Jung Won

AU - Lee, Wol Young

PY - 2002

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AB - The process of knowledge discovery in data (KDD) stored in computers in general requires iterations of three stages: data preparation, data mining, and results analysis. A variety of software tools are available for each of the stages. KDD environments, objectives of KDD, and types of data to be mined affect the choice of software tools in each stage. This article proposes a component-based architecture for an "end-to-end" integrated suite of KDD software tools that supports the entire KDD process. The architecture allows the configuring of an integrated tool suite with software tools appropriate for a given KDD environment and a given set of KDD objectives. The architecture is a part of the Chamois component-based knowledge-engineering framework under development at Ewha Women's University in Korea.

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The Chamois reconfigurable data-mining architecture

Abstract

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