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Article: Deciding The Financial Health Of Dot-coms Using Rough Sets

TitleDeciding The Financial Health Of Dot-coms Using Rough Sets
Authors
KeywordsData mining
Dot-coms
Financial health
Rough sets
Rules
Issue Date2006
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/im
Citation
Information & Management, 2006, v. 43 n. 7, p. 835-846 How to Cite?
AbstractWe conducted an empirical investigation of dot-coms from a financial perspective. Data from the financial statements of 240 such businesses was used to compute financial ratios and the rough sets technique was used to evaluate whether the financial ratios could predict financial health of them based on available data. The most predictive financial ratios were identified and interesting rules concerning the financial ratios and financial health of dot-coms were discovered. It was shown that rough sets performed a satisfactory job of predicting financial health and were more suitable for detecting unhealthy dot-coms than healthy ones.
Persistent Identifierhttp://hdl.handle.net/10722/85831
ISSN
2015 Impact Factor: 2.163
2015 SCImago Journal Rankings: 1.381

 

DC FieldValueLanguage
dc.contributor.authorBose, Ien_HK
dc.date.accessioned2010-09-06T09:09:45Z-
dc.date.available2010-09-06T09:09:45Z-
dc.date.issued2006en_HK
dc.identifier.citationInformation & Management, 2006, v. 43 n. 7, p. 835-846en_HK
dc.identifier.issn0378-7206en_HK
dc.identifier.urihttp://hdl.handle.net/10722/85831-
dc.description.abstractWe conducted an empirical investigation of dot-coms from a financial perspective. Data from the financial statements of 240 such businesses was used to compute financial ratios and the rough sets technique was used to evaluate whether the financial ratios could predict financial health of them based on available data. The most predictive financial ratios were identified and interesting rules concerning the financial ratios and financial health of dot-coms were discovered. It was shown that rough sets performed a satisfactory job of predicting financial health and were more suitable for detecting unhealthy dot-coms than healthy ones.-
dc.languageengen_HK
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/imen_HK
dc.relation.ispartofInformation & Managementen_HK
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in <Journal title>. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in PUBLICATION, [VOL#, ISSUE#, (DATE)] DOI#en_HK
dc.subjectData mining-
dc.subjectDot-coms-
dc.subjectFinancial health-
dc.subjectRough sets-
dc.subjectRules-
dc.titleDeciding The Financial Health Of Dot-coms Using Rough Setsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0378-7206&volume=43&spage=835&epage=846&date=2006&atitle=Deciding+The+Financial+Health+Of+Dotcoms+Using+Rough+Setsen_HK
dc.identifier.emailBose, I: bose@business.hku.hken_HK
dc.identifier.authorityBose, I=rp01041en_HK
dc.identifier.doi10.1016/j.im.2006.08.001-
dc.identifier.scopuseid_2-s2.0-33749673034-
dc.identifier.hkuros129911en_HK
dc.identifier.volume43-
dc.identifier.issue7-
dc.identifier.spage835-
dc.identifier.epage846-
dc.publisher.placeNetherlands-

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