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ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
16 years 1 months ago
Granularity Conscious Modeling for Probabilistic Databases
The convergence of embedded sensor systems and stream query processing suggests an important role for database techniques, in managing data that only partially – and often inacc...
Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Gar...
160
Voted
KDD
1995
ACM
140views Data Mining» more  KDD 1995»
15 years 10 months ago
Discovery and Maintenance of Functional Dependencies by Independencies
For semantic query optimization one needs detailed knowledgeabout the contents of the database. Traditional techniquesuse static knowledgeabout all possible states of the database...
Siegfried Bell
SDM
2010
SIAM
183views Data Mining» more  SDM 2010»
15 years 8 months ago
GraSS: Graph Structure Summarization
Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
Kristen LeFevre, Evimaria Terzi
KDD
2008
ACM
115views Data Mining» more  KDD 2008»
16 years 7 months ago
Topical query decomposition
We introduce the problem of query decomposition, where we are given a query and a document retrieval system, and we want to produce a small set of queries whose union of resulting...
Francesco Bonchi, Carlos Castillo, Debora Donato, ...
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 7 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu