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SIGIR
2004
ACM
14 years 1 months ago
On scaling latent semantic indexing for large peer-to-peer systems
The exponential growth of data demands scalable infrastructures capable of indexing and searching rich content such as text, music, and images. A promising direction is to combine...
Chunqiang Tang, Sandhya Dwarkadas, Zhichen Xu
CEC
2009
IEEE
14 years 2 months ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
CIKM
2000
Springer
14 years 4 days ago
Scalable association-based text classification
Naïve Bayes (NB) classifier has long been considered a core methodology in text classification mainly due to its simplicity and computational efficiency. There is an increasing n...
Dimitris Meretakis, Dimitris Fragoudis, Hongjun Lu...
TCBB
2010
112views more  TCBB 2010»
13 years 2 months ago
A Study of Hierarchical and Flat Classification of Proteins
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan ...
IDA
2006
Springer
13 years 7 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire