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» Algorithms for Querying by Spatial Structure
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TKDE
2010
184views more  TKDE 2010»
13 years 6 months ago
The Dynamic Bloom Filters
—A Bloom filter is an effective, space-efficient data structure for concisely representing a set, and supporting approximate membership queries. Traditionally, the Bloom filter a...
Deke Guo, Jie Wu, Honghui Chen, Ye Yuan, Xueshan L...
KDD
2012
ACM
242views Data Mining» more  KDD 2012»
11 years 10 months ago
Query-driven discovery of semantically similar substructures in heterogeneous networks
Heterogeneous information networks that contain multiple types of objects and links are ubiquitous in the real world, such as bibliographic networks, cyber-physical networks, and ...
Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han
PODS
2006
ACM
134views Database» more  PODS 2006»
14 years 7 months ago
Finding global icebergs over distributed data sets
Finding icebergs ? items whose frequency of occurrence is above a certain threshold ? is an important problem with a wide range of applications. Most of the existing work focuses ...
Qi Zhao, Mitsunori Ogihara, Haixun Wang, Jun Xu
CIKM
2008
Springer
13 years 9 months ago
Efficient sampling of information in social networks
As online social networking emerges, there has been increased interest to utilize the underlying social structure as well as the available social information to improve search. In...
Gautam Das, Nick Koudas, Manos Papagelis, Sushruth...
JCST
2008
175views more  JCST 2008»
13 years 7 months ago
Improved Approximate Detection of Duplicates for Data Streams Over Sliding Windows
Detecting duplicates in data streams is an important problem that has a wide range of applications. In general, precisely detecting duplicates in an unbounded data stream is not fe...
Hong Shen, Yu Zhang