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BMCBI
2008
208views more  BMCBI 2008»
13 years 8 months ago
GraphFind: enhancing graph searching by low support data mining techniques
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
Alfredo Ferro, Rosalba Giugno, Misael Mongiov&igra...
INFSOF
2006
120views more  INFSOF 2006»
13 years 8 months ago
A comparison of two approaches to utilizing XML in parametric databases for temporal data
The parametric data model captures an object in terms of a single tuple. This feature eliminates unnecessary self-join operations to combine tuples scattered in a temporal relatio...
Seo-Young Noh, Shashi K. Gadia
ICDE
2009
IEEE
183views Database» more  ICDE 2009»
13 years 5 months ago
A Decade of XML Data Management: An Industrial Experience Report from Oracle
XML and its related technologies have now been in use for almost a decade. There has been considerable amount of effort both from research and industry focusing on XML, XQuery/XPa...
Zhen Hua Liu, Ravi Murthy
DEBU
2010
88views more  DEBU 2010»
13 years 8 months ago
SECONDO: A Platform for Moving Objects Database Research and for Publishing and Integrating Research Implementations
Databases supporting time dependent and continuously changing geometries, called moving objects databases, have been studied for about 15 years. The field has been flourishing and...
Ralf Hartmut Güting, Thomas Behr, Christian D...
PAKDD
2009
ACM
103views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Hot Item Detection in Uncertain Data
Abstract. An object o of a database D is called a hot item, if there is a sufficiently large population of other objects in D that are similar to o. In other words, hot items are ...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...