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SDM
2012
SIAM
355views Data Mining» more  SDM 2012»
11 years 7 months ago
Granger Causality Analysis in Irregular Time Series
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
Mohammad Taha Bahadori, Yan Liu
SDM
2012
SIAM
304views Data Mining» more  SDM 2012»
11 years 7 months ago
Robust Reputation-Based Ranking on Bipartite Rating Networks
With the growth of the Internet and E-commerce, bipartite rating networks are ubiquitous. In such bipartite rating networks, there exist two types of entities: the users and the o...
Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng
SDM
2012
SIAM
258views Data Mining» more  SDM 2012»
11 years 7 months ago
Feature Selection with Linked Data in Social Media
Feature selection is widely used in preparing highdimensional data for effective data mining. Increasingly popular social media data presents new challenges to feature selection....
Jiliang Tang, Huan Liu
SDM
2012
SIAM
208views Data Mining» more  SDM 2012»
11 years 7 months ago
Mining Massive Archives of Mice Sounds with Symbolized Representations
Many animals produce long sequences of vocalizations best described as “songs.” In some animals, such as crickets and frogs, these songs are relatively simple and repetitive c...
Jesin Zakaria, Sarah Rotschafer, Abdullah Mueen, K...
SDM
2012
SIAM
312views Data Mining» more  SDM 2012»
11 years 7 months ago
Drought Detection of the Last Century: An MRF-based Approach
Droughts are one of the most damaging climate-related hazards. The late 1960s Sahel drought in Africa and the North American Dust Bowl of the 1930s are two examples of severe drou...
Qiang Fu, Arindam Banerjee, Stefan Liess, Peter K....
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
11 years 7 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
11 years 7 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman
SDM
2012
SIAM
307views Data Mining» more  SDM 2012»
11 years 7 months ago
Pseudo Cold Start Link Prediction with Multiple Sources in Social Networks
Link prediction is an important task in social networks and data mining for understanding the mechanisms by which the social networks form and evolve. In most link prediction rese...
Liang Ge, Aidong Zhang
SDM
2012
SIAM
245views Data Mining» more  SDM 2012»
11 years 7 months ago
Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study
Low-rank approximations which are computed from selected rows and columns of a given data matrix have attracted considerable attention lately. They have been proposed as an altern...
Christian Thurau, Kristian Kersting, Christian Bau...