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SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
8 years 8 months ago
Efficient Nonnegative Matrix Factorization with Random Projections
The recent years have witnessed a surge of interests in Nonnegative Matrix Factorization (NMF) in data mining and machine learning fields. Despite its elegant theory and empirical...
Fei Wang, Ping Li
SDM
2010
SIAM
202views Data Mining» more  SDM 2010»
8 years 8 months ago
Multiresolution Motif Discovery in Time Series
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...
Nuno Castro, Paulo J. Azevedo
SDM
2010
SIAM
217views Data Mining» more  SDM 2010»
8 years 8 months ago
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
Collaborative filtering is an important topic in data mining and has been widely used in recommendation system. In this paper, we proposed a unified model for collaborative fil...
Quanquan Gu, Jie Zhou, Chris H. Q. Ding
SDM
2010
SIAM
136views Data Mining» more  SDM 2010»
8 years 8 months ago
Improving Accessibility of Transaction-centric Web Objects
Muhammad Asiful Islam, Faisal Ahmed, Yevgen Borodi...
SDM
2010
SIAM
166views Data Mining» more  SDM 2010»
8 years 8 months ago
Directed Network Community Detection: A Popularity and Productivity Link Model
In this paper, we consider the problem of community detection in directed networks by using probabilistic models. Most existing probabilistic models for community detection are ei...
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, ...
SDM
2010
SIAM
129views Data Mining» more  SDM 2010»
8 years 8 months ago
Cross-Selling Optimization for Customized Promotion
The profit of a retail product not only comes from its own sales, but also comes from its influence on the sales of other products. How to promote the right products to the righ...
Nan Li, Yinghui Yang, Xifeng Yan
SDM
2010
SIAM
168views Data Mining» more  SDM 2010»
8 years 8 months ago
Convex Principal Feature Selection
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, J...
SDM
2010
SIAM
204views Data Mining» more  SDM 2010»
8 years 11 months ago
Scalable Tensor Factorizations with Missing Data
The problem of missing data is ubiquitous in domains such as biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer...
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Mo...
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
8 years 11 months ago
Predictive Modeling with Heterogeneous Sources
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
SDM
2010
SIAM
166views Data Mining» more  SDM 2010»
8 years 11 months ago
A Permutation Approach to Validation
We give a permutation approach to validation (estimation of out-sample error). One typical use of validation is model selection. We establish the legitimacy of the proposed permut...
Malik Magdon-Ismail, Konstantin Mertsalov
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