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

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Mechanical Engineering.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2005

Author dc:creator

• Karaindros, Athanasios A. (Athanasios Andreas)

Advisor dc:contributor.advisor

• Henry S. Marcus.

• Mechanical Engineering.

Statement 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/33898

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/33898