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SIGMOD
2008
ACM
164views Database» more  SIGMOD 2008»
16 years 7 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
EDBTW
2010
Springer
15 years 10 months ago
The benefits of the interaction between data warehouses and question answering
Business Intelligence (BI) applications allow their users to query, understand, and analyze existing data within their organizations in order to acquire useful knowledge, thus mak...
Antonio Ferrández, Jesús Peral
HICSS
2010
IEEE
237views Biometrics» more  HICSS 2010»
16 years 1 months ago
Data Aggregation and Analysis for Cancer Statistics - A Visual Analytics Approach
The disparity between data collected in rural and urban counties is often detrimental in the appropriate analysis of cancer care statistics. Low counts drastically affect the inci...
Ross Maciejewski, Travis Drake, Stephen Rudolph, A...
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 7 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 7 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...