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WWW
2009
ACM
14 years 9 months ago
Measuring the similarity between implicit semantic relations from the web
Measuring the similarity between semantic relations that hold among entities is an important and necessary step in various Web related tasks such as relation extraction, informati...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
DEXA
2003
Springer
193views Database» more  DEXA 2003»
14 years 1 months ago
Supporting KDD Applications by the k-Nearest Neighbor Join
Abstract. The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such t...
Christian Böhm, Florian Krebs
BIBE
2007
IEEE
152views Bioinformatics» more  BIBE 2007»
13 years 9 months ago
SBLAST: Structural Basic Local Alignment Searching Tools using Geometric Hashing
While much research has been done on finding similarities between protein sequences, there has not been the same progress on finding similarities between protein structures. Here ...
Tom Milledge, Gaolin Zheng, Tim Mullins, Giri Nara...
DASFAA
2009
IEEE
135views Database» more  DASFAA 2009»
14 years 18 days ago
Dimension-Specific Search for Multimedia Retrieval
Observing that current Global Similarity Measures (GSM) which average the effect of few significant differences on all dimensions may cause possible performance limitation, we prop...
Zi Huang, Heng Tao Shen, Dawei Song, Xue Li, Stefa...
ICDE
1999
IEEE
183views Database» more  ICDE 1999»
14 years 10 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim