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» dmFSQL: a Server for Data Mining
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KDD
2008
ACM
119views Data Mining» more  KDD 2008»
15 years 10 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
15 years 10 months ago
Effective multi-label active learning for text classification
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...
SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
15 years 10 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
WWW
2001
ACM
15 years 10 months ago
Efficient Acquisition of Web Data through Restricted Query Interfaces
A wealth of information is available on the Web. But often, such data are hidden behind form interfaces which allow only a restrictive set of queries over the underlying databases...
Cláudio T. Silva, Juliana Freire, Simon Bye...
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
15 years 10 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee