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dc.contributor.advisorLynn Andrea Stein.en_US
dc.contributor.authorSpertus, Ellenen_US
dc.date.accessioned2005-08-19T15:58:10Z
dc.date.available2005-08-19T15:58:10Z
dc.date.copyright1998en_US
dc.date.issued1998en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/9814
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.en_US
dc.descriptionIncludes bibliographical references (leaves 126-128).en_US
dc.description.statementofresponsibilityby Ellen Spertus.en_US
dc.format.extent128 leavesen_US
dc.format.extent8555127 bytes
dc.format.extent8554886 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectElectrical Engineering and Computer Scienceen_US
dc.titleParaSite : mining the structural information on the World-Wide Weben_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc41092137en_US


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