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» Repairing Structurally Complex Data
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ICCV
2005
IEEE
14 years 1 months ago
Visual Learning Given Sparse Data of Unknown Complexity
This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...
Tao Xiang, Shaogang Gong
VLDB
2002
ACM
106views Database» more  VLDB 2002»
13 years 7 months ago
Structure and Value Synopses for XML Data Graphs
All existing proposals for querying XML (e.g., XQuery) rely on a pattern-specification language that allows (1) path navigation and branching through the label structure of the XM...
Neoklis Polyzotis, Minos N. Garofalakis
ICDE
2002
IEEE
206views Database» more  ICDE 2002»
14 years 9 months ago
Exploiting Local Similarity for Indexing Paths in Graph-Structured Data
XML and other semi-structured data may have partially specified or missing schema information, motivating the use of a structural summary which can be automatically computed from ...
Raghav Kaushik, Pradeep Shenoy, Philip Bohannon, E...
SIGMOD
2000
ACM
164views Database» more  SIGMOD 2000»
13 years 12 months ago
A Data Model and Data Structures for Moving Objects Databases
We consider spatio-temporal databases supporting spatial objects with continuously changing position and extent, termed moving objects databases. We formally define a data model f...
Luca Forlizzi, Ralf Hartmut Güting, Enrico Na...
ADBIS
2006
Springer
131views Database» more  ADBIS 2006»
14 years 1 months ago
X-Warehousing: An XML-Based Approach for Warehousing Complex Data
XML is suitable for structuring complex data coming from different sources and supported by heterogeneous formats. It allows a flexible formalism capable to represent and store d...
Omar Boussaid, Riadh Ben Messaoud, Rémy Cho...