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» Effective and Efficient Indexing for Large Video Databases
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ICDE
2001
IEEE
104views Database» more  ICDE 2001»
16 years 8 months ago
Efficient Bulk Deletes in Relational Databases
Many applications require that large amounts of data are deleted from the database ? typically, such bulk deletes are carried out periodically and involve old or out-of-date data....
Andreas Gärtner, Alfons Kemper, Donald Kossma...
KDD
2006
ACM
160views Data Mining» more  KDD 2006»
16 years 7 months ago
Coherent closed quasi-clique discovery from large dense graph databases
Frequent coherent subgraphscan provide valuable knowledgeabout the underlying internal structure of a graph database, and mining frequently occurring coherent subgraphs from large...
Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Ka...
EDBT
2008
ACM
166views Database» more  EDBT 2008»
16 years 6 months ago
A novel spectral coding in a large graph database
Retrieving related graphs containing a query graph from a large graph database is a key issue in many graph-based applications, such as drug discovery and structural pattern recog...
Lei Zou, Lei Chen 0002, Jeffrey Xu Yu, Yansheng Lu
EDBT
2010
ACM
122views Database» more  EDBT 2010»
16 years 1 months ago
Self-selecting, self-tuning, incrementally optimized indexes
: © Self-selecting, self-tuning, incrementally optimized indexes Goetz Graefe, Harumi Kuno HP Laboratories HPL-2010-24 database index, adaptive, autonomic, query execution In a re...
Goetz Graefe, Harumi A. Kuno
TCSV
2002
134views more  TCSV 2002»
15 years 6 months ago
Factor graph framework for semantic video indexing
Video query by semantic keywords is one of the most challenging research issues in video data management. To go beyond low-level similarity and access video data content by semanti...
Milind R. Naphade, Igor Kozintsev, Thomas S. Huang