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» Learning from Highly Structured Data by Decomposition
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SIGMOD
2008
ACM
158views Database» more  SIGMOD 2008»
15 years 10 months ago
Sampling cube: a framework for statistical olap over sampling data
Sampling is a popular method of data collection when it is impossible or too costly to reach the entire population. For example, television show ratings in the United States are g...
Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, Y...
VLDB
2007
ACM
124views Database» more  VLDB 2007»
15 years 4 months ago
Ad-hoc Top-k Query Answering for Data Streams
A top-k query retrieves the k highest scoring tuples from a data set with respect to a scoring function defined on the attributes of a tuple. The efficient evaluation of top-k q...
Gautam Das, Dimitrios Gunopulos, Nick Koudas, Niko...
RECOMB
2006
Springer
15 years 10 months ago
Identification and Evaluation of Functional Modules in Gene Co-expression Networks
Abstract. Identifying gene functional modules is an important step towards elucidating gene functions at a global scale. In this paper, we introduce a simple method to construct ge...
Jianhua Ruan, Weixiong Zhang
RECOMB
2010
Springer
15 years 2 months ago
MoGUL: Detecting Common Insertions and Deletions in a Population
Abstract. While the discovery of structural variants in the human population is ongoing, most methods for this task assume that the genome is sequenced to high coverage (e.g. 40x),...
Seunghak Lee, Eric Xing, Michael Brudno
VIS
2007
IEEE
162views Visualization» more  VIS 2007»
15 years 11 months ago
Segmentation of Three-dimensional Retinal Image Data
We have combined methods from volume visualization and data analysis to support better diagnosis and treatment of human retinal diseases. Many diseases can be identified by abnorma...
Alfred R. Fuller, Rober t J. Zawadzki, Stacey Ch...