Analysis of a top-down bottom-up data analysis framework and software architecture design
Name
972911211-MIT.pdf
Description
Full printable version
Size
8.32 MB
Format
Adobe PDF
Checksum (MD5)
ccda804f63b67c3715b8f7f8284e7b44
Author(s)
Wirsch, Anton
Advisor(s)
Stuart Madnick.
Date Issued
2014
Publisher
Massachusetts Institute of Technology
Abstract
Data analytics is currently a topic that is popular in academia and in industry. This is one form of bottom-up analysis, where insights are gained by analyzing data. System dynamics is the opposite, a top-down methodology, by gaining insight by analyzing the big picture. The merging of the two methodologies can possibly provide greater insight. What greater insight that can be gained is research that will be required in the future. The focus of this paper will be on the software connections for such a framework and how it can be automated. An analysis of the individual parts of the combined framework will be conducted along with current software tools that may be used. Lastly, a proposed software architecture design will be described.
Description
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, System Design and Management Program, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 70-71).
Subjects
Institute for Data, Systems, and Society.
System Design and Management Program.
Engineering Systems Division.
MIT Department
System Design and Management Program.
Massachusetts Institute of Technology. Engineering Systems Division
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
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