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» Rank Selection in Multidimensional Data
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WEBI
2009
Springer
14 years 2 months ago
Rank Aggregation Based Text Feature Selection
Filtering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms ot...
Ou Wu, Haiqiang Zuo, Mingliang Zhu, Weiming Hu, Ju...
SIGMOD
2010
ACM
255views Database» more  SIGMOD 2010»
14 years 9 days ago
Indexing multi-dimensional data in a cloud system
Providing scalable database services is an essential requirement for extending many existing applications of the Cloud platform. Due to the diversity of applications, database ser...
Jinbao Wang, Sai Wu, Hong Gao, Jianzhong Li, Beng ...
BMCBI
2004
167views more  BMCBI 2004»
13 years 7 months ago
Feature selection for splice site prediction: A new method using EDA-based feature ranking
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...
Yvan Saeys, Sven Degroeve, Dirk Aeyels, Pierre Rou...
ICASSP
2011
IEEE
12 years 11 months ago
Robust changepoint detection based on multivariate rank statistics
We introduce a novel statistical test for unsupervised detection of changepoints in multidimensional sequences of temporal observations. The test statistic is based on a multivari...
Alexandre Lung-Yut-Fong, Céline Lévy...
SIGMOD
2007
ACM
181views Database» more  SIGMOD 2007»
14 years 7 months ago
Progressive and selective merge: computing top-k with ad-hoc ranking functions
The family of threshold algorithm (i.e., TA) has been widely studied for efficiently computing top-k queries. TA uses a sort-merge framework that assumes data lists are pre-sorted...
Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang