RESEARCH ARTICLE Sensor Networks: Decentralized Monitoring and Subspace Classication of Events
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[1] Dimitrios Gunopulos,et al. Automatic subspace clustering of high dimensional data for data mining applications , 1998, SIGMOD '98.
[2] Huan Liu,et al. A Subspace Clustering Framework for Research Group Collaboration , 2006, Int. J. Inf. Technol. Web Eng..
[3] J. A. Hartigan,et al. A k-means clustering algorithm , 1979 .
[4] Huan Liu,et al. Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution , 2003, ICML.
[5] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .
[6] G. Celeux,et al. A Classification EM algorithm for clustering and two stochastic versions , 1992 .
[7] Nitesh V. Chawla,et al. SMOTEBoost: Improving Prediction of the Minority Class in Boosting , 2003, PKDD.
[8] Philip S. Yu,et al. Finding generalized projected clusters in high dimensional spaces , 2000, SIGMOD 2000.
[9] Yoram Singer,et al. Improved Boosting Algorithms Using Confidence-rated Predictions , 1998, COLT' 98.
[10] Hans-Peter Kriegel,et al. Density-Connected Subspace Clustering for High-Dimensional Data , 2004, SDM.
[11] Hans-Peter Kriegel,et al. OPTICS: ordering points to identify the clustering structure , 1999, SIGMOD '99.
[12] Huan Liu,et al. Error-Sensitive Grading for Model Combination , 2005, ECML.
[13] Philip S. Yu,et al. Fast algorithms for projected clustering , 1999, SIGMOD '99.
[14] Christopher J. Merz,et al. UCI Repository of Machine Learning Databases , 1996 .
[15] D. J. Newman,et al. UCI Repository of Machine Learning Database , 1998 .
[16] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[17] Daniel A. Keim,et al. An Efficient Approach to Clustering in Large Multimedia Databases with Noise , 1998, KDD.