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ISNN
2004
Springer
15 years 11 months ago
Progressive Principal Component Analysis
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
Jun Liu, Songcan Chen, Zhi-Hua Zhou
EDBT
2009
ACM
136views Database» more  EDBT 2009»
16 years 20 days ago
Finding frequent co-occurring terms in relational keyword search
Given a set Q of keywords, conventional keyword search (KS) returns a set of tuples, each of which (i) is obtained from a single relation, or by joining multiple relations, and (i...
Yufei Tao, Jeffrey Xu Yu
ER
2003
Springer
84views Database» more  ER 2003»
15 years 11 months ago
Resolving Structural Conflicts in the Integration of XML Schemas: A Semantic Approach
While the Internet has facilitated access to information sources, the task of scalable integration of these heterogeneous data sources remains a challenge. The adoption of the eXte...
Xia Yang, Mong-Li Lee, Tok Wang Ling
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 6 months ago
Local decomposition for rare class analysis
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
Junjie Wu, Hui Xiong, Peng Wu, Jian Chen
VLDB
2001
ACM
82views Database» more  VLDB 2001»
15 years 10 months ago
Supporting Incremental Join Queries on Ranked Inputs
This paper investigates the problem of incremental joins of multiple ranked data sets when the join condition is a list of arbitrary user-defined predicates on the input tuples. ...
Apostol Natsev, Yuan-Chi Chang, John R. Smith, Chu...