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» Finite-State Machines for Mining Patterns in Very Large Text...
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SPIRE
2001
Springer
13 years 9 months ago
Speed-up of Aho-Corasick Pattern Matching Machines by Rearranging States
Thispaper describes speed-up of string pattern matchingby rearrangingstates inAho-Corasickpattern matching machine, which is a kind of afinite automaton. Werealized speed-up of st...
T. Nishimura, Shuichi Fukamachi, Takeshi Shinohara
ICDM
2009
IEEE
151views Data Mining» more  ICDM 2009»
13 years 2 months ago
TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents
The amount of text data on the Internet is growing at a very fast rate. Online text repositories for news agencies, digital libraries and other organizations currently store gigaan...
Haimonti Dutta, Xianshu Zhu, Tushar Mahule, Hillol...
KDD
2008
ACM
167views Data Mining» more  KDD 2008»
14 years 4 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
SIGIR
2010
ACM
13 years 8 months ago
Self-taught hashing for fast similarity search
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is sem...
Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu