Work

Summarizing Data Sets for Classification

Year: 2001

Type: article

Abstract: This paper describes our approach and experiences with implementing a data mining system using genetic algorithms in C++. In contrast with earlier classification algorithms that tended to “tile” the data sets using some pre-specified “shapes”, the proposed system is based on Marmelstein’s work on determining natural boundaries for class homogeneous regions. These boundaries are further refined to construct a compact set of simple data mining rules for classification.

Source: Journal of Bioresource Management

Authors: Christopher W. Kinzig, Krishnaprasad Thirunarayan, Gary B. Lamont, Robert E. Marmelstein

Language: English

Topic: Data Mining Algorithms and Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Air Force Institute of Technology, Air Force Research Laboratory

OpenAlex ID: W1543678214

FWCI:

Cites: 6

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Related to: 10