Decision support tool for the tanker second-hand market using data mining techniques
Name
66528511-MIT.pdf
Description
Full printable version
Size
5.48 MB
Format
Adobe PDF
Checksum (MD5)
23d2b46e8e75e374ae7b0184dcdaa7e1
Author(s)
Karaindros, Athanasios A. (Athanasios Andreas)
Advisor(s)
Henry S. Marcus.
Date Issued
2005
Publisher
Massachusetts Institute of Technology
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.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2005.
Leaf 78 blank.
Includes bibliographical references (leaves 74-77).
Subjects
Mechanical Engineering.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
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