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SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
16 years 2 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...
221
Voted
SIGMOD
2008
ACM
203views Database» more  SIGMOD 2008»
16 years 2 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
SIGMOD
2007
ACM
160views Database» more  SIGMOD 2007»
16 years 2 months ago
Supporting ranking and clustering as generalized order-by and group-by
The Boolean semantics of SQL queries cannot adequately capture the "fuzzy" preferences and "soft" criteria required in non-traditional data retrieval applicati...
Chengkai Li, Min Wang, Lipyeow Lim, Haixun Wang, K...
197
Voted
SIGMOD
2005
ACM
151views Database» more  SIGMOD 2005»
16 years 2 months ago
The 8 requirements of real-time stream processing
Applications that require real-time processing of high-volume data steams are pushing the limits of traditional data processing infrastructures. These stream-based applications in...
Michael Stonebraker, Ugur Çetintemel, Stanley B. ...
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
16 years 2 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
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