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WSDM
2009
ACM
113views Data Mining» more  WSDM 2009»
14 years 4 months ago
Time Will Tell: Leveraging Temporal Expressions in IR
Temporal expressions, such as between 1992 and 2000, are frequent across many kinds of documents. Text retrieval, though, treats them as common terms, thus ignoring their inherent...
Irem Arikan, Srikanta J. Bedathur, Klaus Berberich
JCDL
2009
ACM
127views Education» more  JCDL 2009»
14 years 4 months ago
Finding topic trends in digital libraries
We propose a generative model based on latent Dirichlet allocation for mining distinct topics in document collections by integrating the temporal ordering of documents into the ge...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
13 years 11 months ago
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification
Term signal is an existing text representation that depicts a term as a vector of frequencies of occurrences in a number of user-defined partitions of a document. Although term si...
Supphachai Thaicharoen, Tom Altman, Krzysztof J. C...
BIS
2007
173views Business» more  BIS 2007»
13 years 11 months ago
Natural Language Technology for Information Integration in Business Intelligence
Business intelligence requires the collecting and merging of information from many different sources, both structured and unstructured, in order to analyse for example financial ...
Diana Maynard, Horacio Saggion, Milena Yankova, Ka...
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
13 years 11 months ago
Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy
Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper trie...
Korinna Bade, Andreas Nürnberger