7387 search results - page 520 / 1478 » Knowledge-based data mining |
153
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KDD
2012
ACM
13 years 7 months ago
2012
ACM
The prevalent use of social media produces mountains of unlabeled, high-dimensional data. Feature selection has been shown effective in dealing with high-dimensional data for eï¬...
126
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SDM
2007
SIAM
15 years 6 months ago
2007
SIAM
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
154
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KDD
2003
ACM
16 years 5 months ago
2003
ACM
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
188
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ICDM
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper, we proposed a new approach, called FiVaTech for the problem of Web data extraction. FiVaTech is a page-level data extraction system which deduces the data schema an...
132
Voted
AUSDM
2007
Springer
15 years 11 months ago
2007
Springer
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...