2026-09-19T13:29:58Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/416532022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Harold Abelson.
Mumpower, Eric J. P
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2008-05-19T16:05:41Z
2008-05-19T16:05:41Z
2007
2007
http://hdl.handle.net/1721.1/41653
219724478
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (p. 81-84).
This thesis describes a sequence-data processing toolkit for analysis of Intelligent Tutoring System (ITS) log data, that unlike other tools allows directed exploration of sequence patterns. This system provides a powerful yet straightforward abstraction for sequence-data processing, and a set of high-level manipulation primitives which allow arbitrarily complex transformations of such data. Using this language, very sophisticated queries can be performed using only a few lines of code. Furthermore, queries can be constructed interactively, allowing for rapid development, refinement, and comparison of hypotheses. Importantly, this system is not limited to ITS logs, but is equally applicable to the manipulation of any form of (potentially multidimensional) sequence data.
by Eric J.P. Mumpower.
M.Eng.
84 p.
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.
FITSL : a language for directed exploration and analysis of sequence data
Language for directed exploration and analysis of sequence data
Thesis
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<Abstract>This thesis describes a sequence-data processing toolkit for analysis of Intelligent Tutoring System (ITS) log data, that unlike other tools allows directed exploration of sequence patterns. This system provides a powerful yet straightforward abstraction for sequence-data processing, and a set of high-level manipulation primitives which allow arbitrarily complex transformations of such data. Using this language, very sophisticated queries can be performed using only a few lines of code. Furthermore, queries can be constructed interactively, allowing for rapid development, refinement, and comparison of hypotheses. Importantly, this system is not limited to ITS logs, but is equally applicable to the manipulation of any form of (potentially multidimensional) sequence data.</Abstract>
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