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APWEB
2006
Springer
15 years 10 months ago
Generalized Projected Clustering in High-Dimensional Data Streams
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
Ting Wang
VLDB
2003
ACM
156views Database» more  VLDB 2003»
16 years 6 months ago
Watermarking relational data: framework, algorithms and analysis
We enunciate the need for watermarking database relations to deter data piracy, identify the characteristics of relational data that pose unique challenges for watermarking, and de...
Rakesh Agrawal, Peter J. Haas, Jerry Kiernan
CIKM
2009
Springer
16 years 1 months ago
Mining frequent itemsets in time-varying data streams
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...
Yingying Tao, M. Tamer Özsu
SIGMOD
2010
ACM
259views Database» more  SIGMOD 2010»
15 years 11 months ago
PODS: a new model and processing algorithms for uncertain data streams
Uncertain data streams, where data is incomplete, imprecise, and even misleading, have been observed in many environments. Feeding such data streams to existing stream systems pro...
Thanh T. L. Tran, Liping Peng, Boduo Li, Yanlei Di...
CSB
2005
IEEE
126views Bioinformatics» more  CSB 2005»
16 years 5 days ago
Discover True Association Rates in Multi-protein Complex Proteomics Data Sets
Experimental processes to collect and process proteomics data are increasingly complex, while the computational methods to assess the quality and significance of these data remain...
Changyu Shen, Lang Li, Jake Yue Chen