Granular computing and data mining for ordered data: the dominance-based rough set approach

Salvatore Greco; B. Matarazzo; R. Slowinski

doi:10.1007/978-0-387-30440-3_251

Granular computing and data mining for ordered data: the dominance-based rough set approach

Salvatore Greco, B. Matarazzo, R. Slowinski

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

This article describes the dominance-based rough set approach (DRSA) to granular computing and data mining.

Original language	English
Title of host publication	Encyclopedia of complexity and systems science
Editors	R. Meyers
Place of Publication	New York
Publisher	Springer
Pages	4283-4305
Number of pages	23
ISBN (Print)	9780387758886
DOIs	https://doi.org/10.1007/978-0-387-30440-3_251
Publication status	Published - 2009

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title = "Granular computing and data mining for ordered data: the dominance-based rough set approach",

abstract = "This article describes the dominance-based rough set approach (DRSA) to granular computing and data mining.",

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AU - Slowinski, R.

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M3 - Chapter (peer-reviewed)

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A2 - Meyers, R.

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Granular computing and data mining for ordered data: the dominance-based rough set approach

Abstract

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