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SIGMOD
2008
ACM
203views Database» more  SIGMOD 2008»
16 years 4 months ago
Querying continuous functions in a database system
Many scientific, financial, data mining and sensor network applications need to work with continuous, rather than discrete data e.g., temperature as a function of location, or sto...
Arvind Thiagarajan, Samuel Madden
198
Voted
SIGMOD
2008
ACM
145views Database» more  SIGMOD 2008»
16 years 4 months ago
Optimizing complex queries with multiple relation instances
Today's query processing engines do not take advantage of the multiple occurrences of a relation in a query to improve performance. Instead, each instance is treated as a dis...
Yu Cao, Gopal C. Das, Chee Yong Chan, Kian-Lee Tan
213
Voted
SIGMOD
2008
ACM
90views Database» more  SIGMOD 2008»
16 years 4 months ago
Toward best-effort information extraction
Current approaches to develop information extraction (IE) programs have largely focused on producing precise IE results. As such, they suffer from three major limitations. First, ...
Warren Shen, Pedro DeRose, Robert McCann, AnHai Do...
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
16 years 4 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
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
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