2026-09-19T23:12:13Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/338982022-01-13T07:54:36Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Henry S. Marcus.
Karaindros, Athanasios A. (Athanasios Andreas)
Massachusetts Institute of Technology. Dept. of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2006-08-25T18:54:59Z
2006-08-25T18:54:59Z
2005
2005
http://hdl.handle.net/1721.1/33898
66528511
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2005.
Leaf 78 blank.
Includes bibliographical references (leaves 74-77).
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.
by Athanasios A. Karaindros.
S.M.
78 leaves
3523839 bytes
3527031 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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.
http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
Decision support tool for the tanker second-hand market using data mining techniques
Thesis
application/pdf
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="6c742349-a83d-411c-8c60-d6ece9236ecc">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Language>eng</Language>
<Title>Decision support tool for the tanker second-hand market using data mining techniques</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2005</PublicationDate>
<Authors>
<Author>
<DisplayName>Karaindros, Athanasios A. (Athanasios Andreas)</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>http://dspace.mit.edu/handle/1721.1/7582</License>
<Keyword>Mechanical Engineering.</Keyword>
<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.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>