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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 1 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 typically, such bulk deletes are carried out periodically and involve old or out-of-date data....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 5 days 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»
15 years 12 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»
15 years 6 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
105
Voted
TCSV
2002
134views more  TCSV 2002»
14 years 11 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