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» Benchmarking Data Mining Algorithms
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SDM
2010
SIAM
217views Data Mining» more  SDM 2010»
15 years 3 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
ADMA
2005
Springer
144views Data Mining» more  ADMA 2005»
15 years 10 months ago
One Dependence Augmented Naive Bayes
In real-world data mining applications, an accurate ranking is same important to a accurate classification. Naive Bayes (simply NB) has been widely used in data mining as a simple...
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
14 years 16 days ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
158
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ICDM
2005
IEEE
163views Data Mining» more  ICDM 2005»
15 years 10 months ago
Efficient Text Classification by Weighted Proximal SVM
In this paper, we present an algorithm that can classify large-scale text data with high classification quality and fast training speed. Our method is based on a novel extension o...
Dong Zhuang, Benyu Zhang, Qiang Yang, Jun Yan, Zhe...
ICAI
2004
15 years 6 months ago
A Comparison of Resampling Methods for Clustering Ensembles
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...