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ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
15 years 4 months ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han
ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
15 years 4 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
137views Data Mining» more  ICDM 2007»
15 years 4 months ago
Locally Constrained Support Vector Clustering
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan
ICDM
2007
IEEE
173views Data Mining» more  ICDM 2007»
15 years 4 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...
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
15 years 4 months ago
Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction
— RNA molecules are distinguished by their sequence composition and by their three-dimensional shape, called the secondary structure. The secondary structure of a pre-mRNA sequen...
Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur