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» Approximate data mining in very large relational data
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PKDD
2004
Springer
102views Data Mining» more  PKDD 2004»
15 years 9 months ago
Improving the Performance of the RISE Algorithm
Ideally, a multi-strategy learning algorithm performs better than its component approaches. RISE is a multi-strategy algorithm that combines rule induction and instance-based learn...
Aloísio Carlos de Pina, Gerson Zaverucha
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 5 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
WWW
2008
ACM
16 years 5 months ago
Hidden sentiment association in chinese web opinion mining
The boom of product review websites, blogs and forums on the web has attracted many research efforts on opinion mining. Recently, there was a growing interest in the finergrained ...
Qi Su, Xinying Xu, Honglei Guo, Zhili Guo, Xian Wu...
FSS
2008
126views more  FSS 2008»
15 years 2 months ago
Linguistic summarization of time series using a fuzzy quantifier driven aggregation
We propose new types of linguistic summaries of time-series data that extend those proposed in our previous papers. The proposed summaries of time series refer to the summaries of...
Janusz Kacprzyk, Anna Wilbik, Slawomir Zadrozny
MLG
2007
Springer
15 years 10 months ago
Weighted Substructure Mining for Image Analysis
1 In web-related applications of image categorization, it is desirable to derive an interpretable classification rule with high accuracy. Using the bag-of-words representation and...
Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku K...