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SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
16 years 4 months ago
Ranking distributed probabilistic data
Ranking queries are essential tools to process large amounts of probabilistic data that encode exponentially many possible deterministic instances. In many applications where unce...
Feifei Li, Ke Yi, Jeffrey Jestes
240
Voted
SIGMOD
2008
ACM
193views Database» more  SIGMOD 2008»
16 years 4 months ago
ARCube: supporting ranking aggregate queries in partially materialized data cubes
Supporting ranking queries in database systems has been a popular research topic recently. However, there is a lack of study on supporting ranking queries in data warehouses where...
Tianyi Wu, Dong Xin, Jiawei Han
242
Voted
SIGMOD
2008
ACM
164views Database» more  SIGMOD 2008»
16 years 4 months ago
Finding frequent items in probabilistic data
Computing statistical information on probabilistic data has attracted a lot of attention recently, as the data generated from a wide range of data sources are inherently fuzzy or ...
Qin Zhang, Feifei Li, Ke Yi
SIGMOD
2007
ACM
229views Database» more  SIGMOD 2007»
16 years 4 months ago
Spark: top-k keyword query in relational databases
With the increasing amount of text data stored in relational databases, there is a demand for RDBMS to support keyword queries over text data. As a search result is often assemble...
Yi Luo, Xuemin Lin, Wei Wang 0011, Xiaofang Zhou
SIGMOD
2006
ACM
171views Database» more  SIGMOD 2006»
16 years 4 months ago
Communication-efficient distributed monitoring of thresholded counts
Monitoring is an issue of primary concern in current and next generation networked systems. For example, the objective of sensor networks is to monitor their surroundings for a va...
Ram Keralapura, Graham Cormode, Jeyashankher Ramam...
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