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» Efficient join processing over uncertain data
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TKDE
2002
148views more  TKDE 2002»
14 years 9 months ago
Parallel Star Join + DataIndexes: Efficient Query Processing in Data Warehouses and OLAP
On-Line Analytical Processing (OLAP) refers to the technologies that allow users to efficiently retrieve data from the data warehouse for decision-support purposes. Data warehouses...
Anindya Datta, Debra E. VanderMeer, Krithi Ramamri...
NGITS
1997
Springer
15 years 1 months ago
Faster Joins, Self Joins and Multi-Way Joins Using Join Indices
We propose a new algorithm, called Stripe-join, for performing a join given a join index. Stripe-join is inspired by an algorithm called \Jive-join" developed by Li and Ross....
Hui Lei, Kenneth A. Ross
ICDE
2006
IEEE
127views Database» more  ICDE 2006»
15 years 3 months ago
Processing Recursive XQuery over XML Streams: The Raindrop Approach
— XML stream applications bring the challenge of efficiently processing queries on sequentially accessible tokenbased data. For efficient processing of queries, we need to ensu...
Mingzhu Wei, Ming Li, Elke A. Rundensteiner, Mural...
ICDE
2009
IEEE
202views Database» more  ICDE 2009»
15 years 11 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou
SIGMOD
2010
ACM
259views Database» more  SIGMOD 2010»
15 years 2 months ago
PODS: a new model and processing algorithms for uncertain data streams
Uncertain data streams, where data is incomplete, imprecise, and even misleading, have been observed in many environments. Feeding such data streams to existing stream systems pro...
Thanh T. L. Tran, Liping Peng, Boduo Li, Yanlei Di...