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» Clustering Uncertain Data with Possible Worlds
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PVLDB
2008
108views more  PVLDB 2008»
13 years 5 months ago
Sliding-window top-k queries on uncertain streams
Query processing on uncertain data streams has attracted a lot of attentions lately, due to the imprecise nature in the data generated from a variety of streaming applications, su...
Cheqing Jin, Ke Yi, Lei Chen 0002, Jeffrey Xu Yu, ...
ICDE
2010
IEEE
258views Database» more  ICDE 2010»
14 years 1 months ago
Anonymized Data: Generation, models, usage
Data anonymization techniques have been the subject of intense investigation in recent years, for many kinds of structured data, including tabular, item set and graph data. They e...
Graham Cormode, Divesh Srivastava
PVLDB
2010
126views more  PVLDB 2010»
13 years 4 months ago
Set Similarity Join on Probabilistic Data
Set similarity join has played an important role in many real-world applications such as data cleaning, near duplication detection, data integration, and so on. In these applicati...
Xiang Lian, Lei Chen 0002
SIGMOD
2008
ACM
164views Database» more  SIGMOD 2008»
14 years 6 months ago
Finding frequent items in probabilistic data
Computing statistical information on probabilistic data has attracted a lot of attention recently, as the data generated from a wide range of data sources are inherently fuzzy or ...
Qin Zhang, Feifei Li, Ke Yi
ICDM
2006
IEEE
129views Data Mining» more  ICDM 2006»
14 years 9 days ago
Consensus Clustering for Detection of Overlapping Clusters in Microarray Data
Most clustering algorithms are partitional in nature, assigning each data point to exactly one cluster. However, several real world datasets have inherently overlapping clusters i...
Meghana Deodhar, Joydeep Ghosh