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KDD
2009
ACM
205views Data Mining» more  KDD 2009»
15 years 10 months ago
From active towards InterActive learning: using consideration information to improve labeling correctness
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
Abraham Bernstein, Jiwen Li
KDD
2009
ACM
200views Data Mining» more  KDD 2009»
15 years 10 months ago
Visual analysis of documents with semantic graphs
In this paper, we present a technique for visual analysis of documents based on the semantic representation of text in the form of a directed graph, referred to as semantic graph....
Delia Rusu, Blaz Fortuna, Dunja Mladenic, Marko Gr...
DASFAA
2005
IEEE
141views Database» more  DASFAA 2005»
15 years 8 months ago
Learning Tree Augmented Naive Bayes for Ranking
Naive Bayes has been widely used in data mining as a simple and effective classification algorithm. Since its conditional independence assumption is rarely true, numerous algorit...
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
SIGKDD
2008
125views more  SIGKDD 2008»
15 years 3 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
VMV
2008
197views Visualization» more  VMV 2008»
15 years 4 months ago
1-2-tree: Semantic Modeling and Editing of Trees
In computer graphics, procedural methods and Lsystems are common approaches to model complex botanical trees. In contrast to previous tree modeling systems, we propose linking rul...
Björn Ganster, Reinhard Klein