290 search results - page 6 / 58 » Feature Extraction for Massive Data Mining |
KDD
2003
ACM
14 years 7 months ago
2003
ACM
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
ICIP
2001
IEEE
14 years 8 months ago
2001
IEEE
In this paper, we present a framework for clustering and classifying cheque images according to their payee-line content. The features used in the clustering and classificationpro...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current ...
PKDD
2009
Springer
14 years 1 months ago
2009
Springer
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
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...