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Anomaly detection
Results: 503

#	Item
201	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: ftp.eenet.ee Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
202	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: ftp.osuosl.org Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
203	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.rstudio.com Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
204	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.salud.gob.sv Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
205	Fine-Grained Tracking of Grid Infections Ashish Gehani Computer Science Laboratory SRI International Menlo Park, CA 94025, USA Email: Add to Reading List Source URL: www.csl.sri.com Language: English - Date: 2010-08-18 02:20:13 Grid computing Anomaly detection Bloom filter Computer cluster Berkeley Open Infrastructure for Network Computing Computing Parallel computing Concurrent computing
206	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.itam.mx Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
207	Identifying the Provenance of Correlated Anomalies Dawood Tariq Basim Baig SRI International∗ Add to Reading List Source URL: www.csl.sri.com Language: English - Date: 2010-11-08 10:42:22 Information technology management Anomaly detection Data mining Data security Tuple Provenance Relation Finitary relation Extensible Storage Engine Mathematics Relational model Data management
208	An Efficient RFID Data Cleaning Method Based on Wavelet Density Estimation Yaozong LIU 1, Hong ZHANG 1, Fawang HAN 2, Jun TAN 3 School of Computer Science and Engineering Nanjing University of Science and Technology, N Add to Reading List Source URL: dline.info Language: English* - Date: 2015-04-20 11:27:39 Robust statistics Geostatistics Outlier Radio-frequency identification Anomaly detection Cluster analysis Density estimation Estimation theory Statistics Data mining Data analysis
209	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: dirichlet.mat.puc.cl Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
210	Distance Based Outlier Detection for Data Streams Luan Tran, Liyue Fan, Cyrus Shahabi Integrated Media Systems Center University of Southern California Add to Reading List Source URL: imsc.usc.edu Language: English - Date: 2015-03-26 19:52:32 Data analysis Anomaly detection Data security Outlier RANSAC Local outlier factor Statistics Data mining Robust statistics

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