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» CURE: An Efficient Clustering Algorithm for Large Databases
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ADBIS
2009
Springer
162views Database» more  ADBIS 2009»
15 years 8 months ago
Efficient Set Similarity Joins Using Min-prefixes
Identification of all objects in a dataset whose similarity is not less than a specified threshold is of major importance for management, search, and analysis of data. Set similari...
Leonardo Ribeiro, Theo Härder
SIGMOD
2005
ACM
136views Database» more  SIGMOD 2005»
16 years 4 months ago
Peer-to-peer management of XML data: issues and research challenges
Peer-to-peer (p2p) systems are attracting increasing attention as an efficient means of sharing data among large, diverse and dynamic sets of users. The widespread use of XML as a...
Georgia Koloniari, Evaggelia Pitoura
CIKM
2004
Springer
15 years 7 months ago
Efficient processing of XML twig patterns with parent child edges: a look-ahead approach
With the growing importance of semi-structure data in information exchange, much research has been done to provide an effective mechanism to match a twig query in an XML database....
Jiaheng Lu, Ting Chen, Tok Wang Ling
SIGMOD
2005
ACM
154views Database» more  SIGMOD 2005»
16 years 4 months ago
Lazy XML Updates: Laziness as a Virtue of Update and Structural Join Efficiency
XML documents are normally stored as plain text files. Hence, the natural and most convenient way to update XML documents is to simply edit the text files. But efficient query eva...
Barbara Catania, Wen Qiang Wang, Beng Chin Ooi, Xi...
FGR
2008
IEEE
255views Biometrics» more  FGR 2008»
15 years 10 months ago
Aligned Cluster Analysis for temporal segmentation of human motion
Temporal segmentation of human motion into actions is a crucial step for understanding and building computational models of human motion. Several issues contribute to the challeng...
Feng Zhou, Fernando De la Torre, Jessica K. Hodgin...