2026-09-19T23:50:23Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/333872026-06-06T01:04:38Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Glen Urban.
Wang, Yufei, 1981-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-07-13T15:20:08Z
2006-07-13T15:20:08Z
2005
2005
http://hdl.handle.net/1721.1/33387
62559904
Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (leaves 82-83).
Marketing on the Internet is the next big field in marketing research. Clickstream data is a great contribution to analyze the effects of advocacy based marketing strategies. Handling Clickstream data becomes a big issue. This paper will look at the problems caused by Clickstream data from a database perspective and consider several theories to alleviate the difficulties. Applications of modern database optimization techniques will be discussed and this paper will detail the implementation of these techniques for the Intel and GM project.
by Yufei Wang.
M.Eng.
S.B.
83 leaves
3834009 bytes
3837420 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
Electrical Engineering and Computer Science.
An analysis of different data base structures and management systems on Clickstream data collected for advocacy based marketing strategies experiments for Intel and GM
Thesis
application/pdf
Publication
unknown
unknown
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