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dc.contributor.advisorSaiedian, Hossein
dc.contributor.authorHaenchen, Steven L.
dc.date.accessioned2010-03-18T04:35:48Z
dc.date.available2010-03-18T04:35:48Z
dc.date.issued2009-12-07
dc.date.submitted2009
dc.identifier.otherhttp://dissertations.umi.com/ku:10635
dc.identifier.urihttp://hdl.handle.net/1808/5975
dc.description.abstractThe Federal Rules of Civil Procedure regarding production of electronic evidence, together with court rulings and penalties, have highlighted the need for timely and accurate production of electronically stored responsive evidence. Key criteria to the legal requirements include costs to produce, identification of responsive information and identification of privileged information within the responsive information. Currently the primary two methods of compliance are manual review of the documents and electronic Boolean text searches. Text searching technology has been studied for over fifty years generating literally thousands of documents and books for a literature review. The focus of the literature includes accuracy of searching, optimization of searching, and completeness of searching. Some of the literature is based on a specific field of interest such as library cards or patent filings, but most is either generic or relates to either peer-to-peer searching or Internet searching. The documents related to the field of electronic evidence are very limited in number and presented no new search techniques directly. We identified and classified the search techniques from the literature study after consideration of the applicability to electronic evidence. Using electronic evidence from actual litigation cases, the techniques were implemented to identify the thoroughness of the documents identified in the population and the related costs (time) required to identify such documents. The results from the various techniques were compared along with the costs to identify the "best" text searching method. Based on the results, we recommend implementation of a combination of the techniques to allow responsiveness to different requirements based on the legal circumstances.
dc.format.extent88 pages
dc.language.isoEN
dc.publisherUniversity of Kansas
dc.rightsThis item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
dc.subjectComputer science
dc.subjectEdiscovery
dc.subjectElectronic information
dc.subjectForensics
dc.subjectText searching
dc.titleAdvanced Text Searching of Electronic Information Related to Forensic Discovery
dc.typeThesis
dc.contributor.cmtememberAgah, Arvin
dc.contributor.cmtememberErcal-Ozkaya, Gunes
dc.thesis.degreeDisciplineElectrical Engineering & Computer Science
dc.thesis.degreeLevelM.S.
kusw.oastatusna
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
kusw.bibid7079202
dc.rights.accessrightsopenAccess


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