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DAWAK
2007
Springer
13 years 11 months ago
Mining Top-K Multidimensional Gradients
Several business applications such as marketing basket analysis, clickstream analysis, fraud detection and churning migration analysis demand gradient data analysis. By employing g...
Ronnie Alves, Orlando Belo, Joel Ribeiro
ICDE
2008
IEEE
161views Database» more  ICDE 2008»
14 years 6 hour ago
On the semantics and evaluation of top-k queries in probabilistic databases
We formulate three intuitive semantic properties for topk queries in probabilistic databases, and propose GlobalTopk query semantics which satisfies all of them. We provide a dyn...
Xi Zhang, Jan Chomicki
CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 5 months ago
Semantics and Evaluation of Top-k Queries in Probabilistic Databases
Abstract. We study here fundamental issues involved in top-k query evaluation in probabilistic databases. We consider simple probabilistic databases in which probabilities are asso...
Xi Zhang, Jan Chomicki
ICDE
2011
IEEE
215views Database» more  ICDE 2011»
12 years 9 months ago
Top-k keyword search over probabilistic XML data
—Despite the proliferation of work on XML keyword query, it remains open to support keyword query over probabilistic XML data. Compared with traditional keyword search, it is far...
Jianxin Li, Chengfei Liu, Rui Zhou, Wei Wang
PODS
2010
ACM
159views Database» more  PODS 2010»
13 years 7 months ago
On probabilistic fixpoint and Markov chain query languages
We study highly expressive query languages such as datalog, fixpoint, and while-languages on probabilistic databases. We generalize these languages such that computation steps (e....
Daniel Deutch, Christoph Koch, Tova Milo