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» Discovering Informative Patterns and Data Cleaning
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EDBT
2009
ACM
137views Database» more  EDBT 2009»
14 years 9 months ago
Flexible and scalable storage management for data-intensive stream processing
Data Stream Management Systems (DSMS) operate under strict performance requirements. Key to meeting such requirements is to efficiently handle time-critical tasks such as managing...
Irina Botan, Gustavo Alonso, Peter M. Fischer, Don...
BRAIN
2010
Springer
14 years 10 months ago
Sparse Regression Models of Pain Perception
Discovering brain mechanisms underlying pain perception remains a challenging neuroscientific problem with important practical applications, such as developing better treatments f...
Irina Rish, Guillermo A. Cecchi, Marwan N. Baliki,...
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
13 years 7 months ago
Sequence clustering and labeling for unsupervised query intent discovery
One popular form of semantic search observed in several modern search engines is to recognize query patterns that trigger instant answers or domain-specific search, producing sem...
Jackie Chi Kit Cheung, Xiao Li
BMCBI
2006
109views more  BMCBI 2006»
14 years 11 months ago
An integrated system for genetic analysis
Background: Large-scale genetic mapping projects require data management systems that can handle complex phenotypes and detect and correct high-throughput genotyping errors, yet a...
Simon Fiddy, David Cattermole, Dong Xie, Xiao Yuan...
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IEAAIE
2009
Springer
15 years 6 months ago
Incremental Mining of Ontological Association Rules in Evolving Environments
The process of knowledge discovery from databases is a knowledge intensive, highly user-oriented practice, thus has recently heralded the development of ontology-incorporated data ...
Ming-Cheng Tseng, Wen-Yang Lin