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Decision support tool for the tanker second-hand market using data mining techniques

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dc.contributor.advisor Henry S. Marcus. en_US
dc.contributor.author Karaindros, Athanasios A. (Athanasios Andreas) en_US
dc.contributor.other Massachusetts Institute of Technology. Dept. of Mechanical Engineering. en_US
dc.date.accessioned 2006-08-25T18:54:59Z
dc.date.available 2006-08-25T18:54:59Z
dc.date.copyright 2005 en_US
dc.date.issued 2005 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/33898
dc.description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2005. en_US
dc.description Leaf 78 blank. en_US
dc.description Includes bibliographical references (leaves 74-77). en_US
dc.description.abstract This thesis proposes an innovative decision support tool intended for market leaders and those anticipating market states of "sale and purchase". This is feasible with the use of powerful data mining techniques and the construction of explanatory forecasting models. Data mining techniques seek and extract patterns from databases. These patterns can be used to reveal possible interactions between database variables and to predict values for future "sale and purchase" market states as an aid to decision-making. Possible: users of such a tool are ship brokers, ship owners, shipyards and general brokers and investors. It is crucial to mention the rising need for decisional tools especially when asset play in shipping seems to increase its proportion among other investment practices. en_US
dc.description.statementofresponsibility by Athanasios A. Karaindros. en_US
dc.format.extent 78 leaves en_US
dc.format.extent 3523839 bytes
dc.format.extent 3527031 bytes
dc.format.mimetype application/pdf
dc.format.mimetype application/pdf
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights M.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.uri http://dspace.mit.edu/handle/1721.1/7582
dc.subject Mechanical Engineering. en_US
dc.title Decision support tool for the tanker second-hand market using data mining techniques en_US
dc.type Thesis en_US
dc.description.degree S.M. en_US
dc.contributor.department Massachusetts Institute of Technology. Dept. of Mechanical Engineering. en_US
dc.identifier.oclc 66528511 en_US


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