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AUSAI
2001
Springer
13 years 11 months ago
Fast Text Classification Using Sequential Sampling Processes
A central problem in information retrieval is the automated classification of text documents. While many existing methods achieve good levels of performance, they generally require...
Michael D. Lee
CIKM
2008
Springer
13 years 10 months ago
Winnowing-based text clustering
We present an approach to document clustering based on winnowing fingerprints that achieved good values of effectiveness with considerable save in memory space and computation tim...
Javier Parapar, Alvaro Barreiro
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
14 years 8 months ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi
ICFCA
2009
Springer
13 years 5 months ago
A Concept Lattice-Based Kernel for SVM Text Classification
Abstract. Standard Support Vector Machines (SVM) text classification relies on bag-of-words kernel to express the similarity between documents. We show that a document lattice can ...
Claudio Carpineto, Carla Michini, Raffaele Nicolus...
IPM
2006
151views more  IPM 2006»
13 years 8 months ago
Document clustering using nonnegative matrix factorization
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...