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DC FieldValueLanguage
dc.contributorMulti-disciplinary Studiesen_US
dc.contributorDepartment of Computingen_US
dc.creatorLeung, Hon-chiu-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/2425-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleAssociation mining on financial ratios and stock pricesen_US
dcterms.abstractThe analysis of financial report of listed companies is essential in portfolio management for maximizing investment return with controlled risk. Usually the analysis involves large amount of data and the underlying patterns may not be easier to identify. With the increasing power of computer, the knowledge discovery in database (KDD) becomes possible on the domain of financial data. The focus of this project is to extract the association rules for financial ratios against stock price change. A data mining application for association rules on China and Hong Kong Stock Market has been built and to be accessed through the WEB. Preprocessing has been done to convert the data on financial report to financial ratios to allow for direct comparison. The changes on stock price were also extracted from the raw transaction data resided in the data warehouse. The values are classified into groups for KDD process. Three algorithms for association rules mining were implemented for efficiency comparison. The mining results are stored back on the database server for retrieval through web browser or as input for further processing. The whole system was built using Java with the use of RDBMS and the Java classes built are reusable with defined interface and calling method.en_US
dcterms.extentviii, 105 leaves : ill. (some col.) ; 30 cmen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2001en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.LCSHStocks -- Pricesen_US
dcterms.LCSHStock price forecasting -- Mathematical modelsen_US
dcterms.LCSHRatio analysisen_US
dcterms.LCSHData Miningen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/2425