A Rough Set Model with Ontological Information for Discovering Maximal Association Rules in Document Collections

Y Bi, TJ Anderson, SI McClean

Research output: Chapter in Book/Report/Conference proceedingConference contribution

LanguageEnglish
Title of host publicationUnknown Host Publication
Pages19-30
Number of pages14
Publication statusPublished - Dec 2002
EventThe Twenty-second SGAI International Conference on Knowledge Based Systems and Applied Artificial Intelligence - Cambridge, UK
Duration: 1 Dec 2002 → …

Conference

ConferenceThe Twenty-second SGAI International Conference on Knowledge Based Systems and Applied Artificial Intelligence
Period1/12/02 → …

Keywords

  • Rough Se
  • Ontology
  • Mining Maximal Association Rules

Cite this

@inproceedings{1cf52e9e100d4e3ea207eb9047e963a4,
title = "A Rough Set Model with Ontological Information for Discovering Maximal Association Rules in Document Collections",
keywords = "Rough Se, Ontology, Mining Maximal Association Rules",
author = "Y Bi and TJ Anderson and SI McClean",
year = "2002",
month = "12",
language = "English",
isbn = "1-85233-674-9",
pages = "19--30",
booktitle = "Unknown Host Publication",

}

Bi, Y, Anderson, TJ & McClean, SI 2002, A Rough Set Model with Ontological Information for Discovering Maximal Association Rules in Document Collections. in Unknown Host Publication. pp. 19-30, The Twenty-second SGAI International Conference on Knowledge Based Systems and Applied Artificial Intelligence, 1/12/02.

A Rough Set Model with Ontological Information for Discovering Maximal Association Rules in Document Collections. / Bi, Y; Anderson, TJ; McClean, SI.

Unknown Host Publication. 2002. p. 19-30.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A Rough Set Model with Ontological Information for Discovering Maximal Association Rules in Document Collections

AU - Bi, Y

AU - Anderson, TJ

AU - McClean, SI

PY - 2002/12

Y1 - 2002/12

KW - Rough Se

KW - Ontology

KW - Mining Maximal Association Rules

M3 - Conference contribution

SN - 1-85233-674-9

SP - 19

EP - 30

BT - Unknown Host Publication

ER -