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118
Voted
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 28 days ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
VLDB
2007
ACM
141views Database» more  VLDB 2007»
16 years 22 days ago
Query Processing over Incomplete Autonomous Databases
Incompleteness due to missing attribute values (aka "null values") is very common in autonomous web databases, on which user accesses are usually supported through media...
Garrett Wolf, Hemal Khatri, Bhaumik Chokshi, Jianc...
175
Voted
SIGMOD
2009
ACM
125views Database» more  SIGMOD 2009»
16 years 22 days ago
Top-k queries on uncertain data: on score distribution and typical answers
Uncertain data arises in a number of domains, including data integration and sensor networks. Top-k queries that rank results according to some user-defined score are an important...
Tingjian Ge, Stanley B. Zdonik, Samuel Madden
167
Voted
SIGMOD
2009
ACM
157views Database» more  SIGMOD 2009»
16 years 22 days ago
FPGA: what's in it for a database?
While there seems to be a general agreement that next years' systems will include many processing cores, it is often overlooked that these systems will also include an increa...
Jens Teubner, René Müller
202
Voted
SIGMOD
2009
ACM
192views Database» more  SIGMOD 2009»
16 years 22 days ago
A gauss function based approach for unbalanced ontology matching
Ontology matching, aiming to obtain semantic correspondences between two ontologies, has played a key role in data exchange, data integration and metadata management. Among numero...
Qian Zhong, Hanyu Li, Juanzi Li, Guo Tong Xie, Jie...
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