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ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
16 years 1 months ago
A Computational Approach to Style in American Poetry
We develop a quantitative method to assess the style of American poems and to visualize a collection of poems in relation to one another. Qualitative poetry criticism helped guide...
David M. Kaplan, David M. Blei
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
16 years 1 months ago
Semi-supervised Clustering Using Bayesian Regularization
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang
ICDM
2007
IEEE
173views Data Mining» more  ICDM 2007»
16 years 1 months ago
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models
Statistical topic models such as the Latent Dirichlet Allocation (LDA) have emerged as an attractive framework to model, visualize and summarize large document collections in a co...
Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eri...
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
16 years 1 months ago
News Aware Volatility Forecasting: Is the Content of News Important?
The efficient market hypothesis states that the market incorporates all available information to provide an accurate valuation of the asset at any given time. However, most models...
Calum Robertson, Shlomo Geva, Rodney Wolff
GFKL
2007
Springer
196views Data Mining» more  GFKL 2007»
16 years 1 months ago
Comparison of Recommender System Algorithms Focusing on the New-item and User-bias Problem
Recommender systems are used by an increasing number of e-commerce websites to help the customers to find suitable products from a large database. One of the most popular techniqu...
Stefan Hauger, Karen H. L. Tso, Lars Schmidt-Thiem...
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