Scientific data classification: A case study

Document Type

Conference Proceeding

Publication Date

12-1-1997

Abstract

Scientific data classification is the activity of determining whether or not an unlabeled scientific object belongs to an existing class. It is an important operation in the management of scientific databases. In this paper we present a case study for scientific data classification. Specifically, we develop a tool for DNA sequence classification. The tool works by generating and matching gapped fingerprints of DNA sequences. Experimental results obtained by applying our tool to classifying a set of Alu sequences demonstrate the good performance of the tool. While the reported research focuses on DNA classification, our techniques should generalize to any domain (e.g. multimedia) where data are naturally represented as sequences.

Identifier

0031341776 (Scopus)

Publication Title

Proceedings of the International Conference on Tools with Artificial Intelligence

ISSN

10636730

First Page

216

Last Page

222

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