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» A Framework for Exploring Categorical Data.
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EDBT
2004
ACM
192views Database» more  EDBT 2004»
14 years 10 months ago
LIMBO: Scalable Clustering of Categorical Data
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Periklis Andritsos, Panayiotis Tsaparas, Ren&eacut...
WWW
2008
ACM
14 years 10 months ago
Exploring social annotations for information retrieval
Social annotation has gained increasing popularity in many Web-based applications, leading to an emerging research area in text analysis and information retrieval. This paper is c...
Ding Zhou, Jiang Bian, Shuyi Zheng, Hongyuan Zha, ...
ACL
2009
13 years 7 months ago
A Framework of Feature Selection Methods for Text Categorization
In text categorization, feature selection (FS) is a strategy that aims at making text classifiers more efficient and accurate. However, when dealing with a new task, it is still d...
Shoushan Li, Rui Xia, Chengqing Zong, Chu-Ren Huan...
IPMU
2010
Springer
13 years 11 months ago
On Nonparametric Predictive Inference for Ordinal Data
Abstract. Nonparametric predictive inference (NPI) is a powerful frequentist statistical framework based only on an exchangeability assumption for future and past observations, mad...
Frank P. A. Coolen, Pauline Coolen-Schrijner, Taha...