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CIKM
2009
Springer
15 years 1 months ago
Efficient processing of group-oriented connection queries in a large graph
We study query processing in large graphs that are fundamental data model underpinning various social networks and Web structures. Given a set of query nodes, we aim to find the g...
James Cheng, Yiping Ke, Wilfred Ng
SIGMOD
1996
ACM
151views Database» more  SIGMOD 1996»
15 years 1 months ago
BIRCH: An Efficient Data Clustering Method for Very Large Databases
Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely st,udied problems in this area is the identification of clusters...
Tian Zhang, Raghu Ramakrishnan, Miron Livny
SIGMOD
2007
ACM
187views Database» more  SIGMOD 2007»
15 years 9 months ago
P-ring: an efficient and robust P2P range index structure
Data availability, collection and storage have increased dramatically in recent years, raising new technological and algorithmic challenges for database design and data management...
Adina Crainiceanu, Prakash Linga, Ashwin Machanava...
PVLDB
2010
252views more  PVLDB 2010»
14 years 4 months ago
Efficient and Effective Similarity Search over Probabilistic Data based on Earth Mover's Distance
Probabilistic data is coming as a new deluge along with the technical advances on geographical tracking, multimedia processing, sensor network and RFID. While similarity search is...
Jia Xu, Zhenjie Zhang, Anthony K. H. Tung, Ge Yu
SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
15 years 1 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim