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A benefit-cost analysis of the Texas Commission on Environmental Quality's digital imaging project /Stott, Brenda. January 2009 (has links)
Thesis (M. P. A.)--Texas State University-San Marcos, 2009. / "Summer 2009." Includes bibliographical references (leaves 63-65).
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MASS a multi-axis storage structure for large XML documents.Deschler, Kurt W. January 2002 (has links)
Thesis (M.S.)--Worcester Polytechnic Institute. / Keywords: XML; path expression; axis; order; indexing; inlined; compression; XPath; lossless. Includes bibliographical references (p. 45-46).
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XML as a data exchange medium for DoD legacy databases /Pradeep, Kris. January 2002 (has links) (PDF)
Thesis (M.S.)--Naval Postgraduate School, 2002. / Thesis advisor(s): Valdis Berzins, Paul E. Young. Includes bibliographical references (p. 109). Also available online.
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Integrating XML and Rdf concepts to achieve automation within a tactical knowledge management environment /McCarty, George E. January 2004 (has links) (PDF)
Thesis (M.S. in Software Engineering)--Naval Postgraduate School, March 2004. / Thesis advisor(s): Man-Tak Shing. Includes bibliographical references (p. 101-102). Also available online.
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Teaching web design at the higher education levelMull, Randall Franklin, January 2001 (has links)
Thesis (M.S.)--West Virginia University, 2001. / Title from document title page. Document formatted into pages; contains iii, 47 p. Vita. Includes abstract. Includes bibliographical references (p. 36-37).
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Distributed architecture for the object-oriented method for interoperability /Lawler, George M. January 2003 (has links) (PDF)
Thesis (M.S. in Computer Science)--Naval Postgraduate School, March 2003. / Thesis advisor(s): Valdis Berzins, Paul Young. Includes bibliographical references (p. 127-130). Also available online.
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Updating XML views of relational dataMulchandani, Mukesh K. January 2003 (has links)
Thesis (M.S.)--Worcester Polytechnic Institute. / Keywords: XML; views; updates; Rainbow. Includes bibliographical references (p. 94-96).
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Consistently updating XML documents using incremental checks with XqueriesKane, Bintou. January 2003 (has links)
Thesis (M.S.)--Worcester Polytechnic Institute. / Keywords: XML; XQuery; schema and data evolution. Includes bibliographical references (p. 69-72).
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Interactive mapping using scalable vector graphics technologySin, Chi-lun., 冼子倫. January 2005 (has links)
published_or_final_version / abstract / Geography / Master / Master of Geographic Information System
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Document Clustering with Dual SupervisionHu, Yeming 19 June 2012 (has links)
Nowadays, academic researchers maintain a personal library of papers, which they would like
to organize based on their needs, e.g., research, projects, or courseware. Clustering techniques
are often employed to achieve this goal by grouping the document collection into different
topics. Unsupervised clustering does not require any user effort but only produces one universal
output with which users may not be satisfied. Therefore, document clustering needs user input
for guidance to generate personalized clusters for different users. Semi-supervised clustering
incorporates prior information and has the potential to produce customized clusters. Traditional
semi-supervised clustering is based on user supervision in the form of labeled instances or
pairwise instance constraints. However, alternative forms of user supervision exist such as
labeling features. For document clustering, document supervision involves labeling documents
while feature supervision involves labeling features. Their joint of use has been called dual
supervision. In this thesis, we first explore and propose a framework to use feature supervision
for interactive feature selection by indicating whether a feature is useful for clustering.
Second, we enhance the semi-supervised clustering with feature supervision using feature
reweighting. Third, we propose a unified framework to combine document supervision and
feature supervision through seeding. The newly proposed algorithms are evaluated using oracles
and demonstrated to be more helpful in producing better clusters matching a single user's point
of view than document clustering without any supervision and with only document supervision.
Finally, we conduct a user study to confirm that different users have different understandings of
the same document collection and prefer personalized clusters. At the same time, we demonstrate
that document clustering with dual supervision is able to produce good personalized clusters
even with noisy user input. Dual supervision is also demonstrated to be more effective in
personalized clustering than no supervision or any single supervision. We also analyze users'
behaviors during the user study and present suggestions for the design of document management
software.
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