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181
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WWW
2005
ACM
16 years 8 months ago
Automatically learning document taxonomies for hierarchical classification
While several hierarchical classification methods have been applied to web content, such techniques invariably rely on a pre-defined taxonomy of documents. We propose a new techni...
Kunal Punera, Suju Rajan, Joydeep Ghosh
SIGIR
2004
ACM
16 years 26 days ago
Document clustering via adaptive subspace iteration
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
Tao Li, Sheng Ma, Mitsunori Ogihara
CIKM
2004
Springer
16 years 25 days ago
Document clustering based on cluster validation
This paper presents a cluster validation based document clustering algorithm, which is capable of identifying both important feature words and true model order (cluster number). I...
Zheng-Yu Niu, Dong-Hong Ji, Chew Lim Tan
164
Voted
GECCO
2009
Springer
139views Optimization» more  GECCO 2009»
16 years 2 days ago
Meta-heuristics for reconstructing cross cut shredded text documents
In this work, we present two new approaches based on variable neighborhood search (VNS) and ant colony optimization (ACO) for the reconstruction of cross cut shredded text documen...
Matthias Prandtstetter, Günther R. Raidl
CIKM
2008
Springer
15 years 9 months ago
A generative retrieval model for structured documents
Structured documents contain elements defined by the author(s) and annotations assigned by other people or processes. Structured documents pose challenges for probabilistic retrie...
Le Zhao, Jamie Callan