269 search results - page 17 / 54 » Indexing text data under space constraints |
ICDM
2002
IEEE
14 years 2 months ago
2002
IEEE
Document clustering techniques mostly rely on single term analysis of the document data set, such as the Vector Space Model. To better capture the structure of documents, the unde...
KDD
2009
ACM
14 years 10 months ago
2009
ACM
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
ECIR
2008
Springer
13 years 11 months ago
2008
Springer
Word space models, in the sense of vector space models built on distributional data taken from texts, are used to model semantic relations between words. We argue that the high dim...
DEXA
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. Latent Semantic Indexing(LSI) has been proved to be effective to capture the semantic structure of document collections. It is widely used in content-based text retrieval...
DASFAA
2007
IEEE
14 years 4 months ago
2007
IEEE
Images are amongst the most widely proliferated form of digital information due to affordable imaging technologies and the Web. In such an environment, the use of digital watermar...