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» A Method of Cluster-Based Indexing of Textual Data
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COLING
2002
13 years 4 months ago
A Method of Cluster-Based Indexing of Textual Data
This paper presents a framework for clustering in text-based information retrieval systems. The prominent feature of the proposed method is that documents, terms, and other relate...
Akiko N. Aizawa
CIVR
2008
Springer
204views Image Analysis» more  CIVR 2008»
13 years 6 months ago
Image clustering based on a shared nearest neighbors approach for tagged collections
Browsing and finding pictures in large-scale and heterogeneous collections is an important issue, most particularly for online photo sharing applications. Since such services know...
Pierre-Alain Moëllic, Jean-Emmanuel Haugeard,...
SISAP
2008
IEEE
147views Data Mining» more  SISAP 2008»
13 years 11 months ago
An Empirical Evaluation of a Distributed Clustering-Based Index for Metric Space Databases
Similarity search has been proved suitable for searching in very large collections of unstructured data objects. We are interested in efficient parallel query processing under si...
Veronica Gil Costa, Mauricio Marín, Nora Re...
TC
2010
13 years 3 months ago
TSS: Efficient Term Set Search in Large Peer-to-Peer Textual Collections
—Previous multikeyword search in DHT-based P2P systems often relies on multiple single keyword search operations, suffering from unacceptable traffic cost and poor accuracy. Prec...
Hanhua Chen, Jun Yan, Hai Jin, Yunhao Liu, Lionel ...
ICUIMC
2009
ACM
13 years 11 months ago
PicAChoo: a tool for customizable feature extraction utilizing characteristics of textual data
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
Jaeseok Myung, Jung-Yeon Yang, Sang-goo Lee