Data aggregation for capacity management

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dc.contributor.advisor Leon , V . Jorge en_US
dc.contributor.committeeMember Mayer , John E . , Jr . en_US
dc.creator Lee , Yong Woo en_US 2004 -09 -30T01 :41 :56Z 2014 -02 -18T22 :28 :11Z 2004 -09 -30T01 :41 :56Z 2014 -02 -18T22 :28 :11Z 2003 -05 en_US 2004 -09 -30T01 :41 :56Z
dc.identifier.uri http : / /hdl .handle .net /1969 .1 /90
dc.description.abstract This thesis presents a methodology for data aggregation for capacity management . It is assumed that there are a very large number of products manufactured in a company and that every product is stored in the database with its standard unit per hour and attributes that uniquely specify each product . The methodology aggregates products into families based on the standard units -per -hour and finds a subset of attributes that unambiguously identifies each family . Data reduction and classification are achieved using well -known multivariate statistical techniques such as cluster analysis , variable selection and discriminant analysis . The experimental results suggest that the efficacy of the proposed methodology is good in terms of data reduction . en_US
dc.format.extent 858806 bytes
dc.format.medium electronic en_US
dc.format.mimetype application /pdf
dc.language.iso en _US en_US
dc.publisher Texas A &M University en_US
dc.subject data aggregation en_US
dc.title Data aggregation for capacity management en_US
dc.type Thesis en
dc.type.genre Electronic Thesis en_US
dc.type.material text en_US
dc.format.digitalOrigin born digital en_US


Data aggregation for capacity management. Available electronically from http : / /hdl .handle .net /1969 .1 /90 .

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