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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 7 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
ICDE
2010
IEEE
263views Database» more  ICDE 2010»
16 years 6 months ago
Managing Uncertainty of XML Schema Matching
Abstract-- Despite of advances in machine learning technologies, a schema matching result between two database schemas (e.g., those derived from COMA++) is likely to be imprecise. ...
Reynold Cheng, Jian Gong, David W. Cheung
ICDT
2010
ACM
211views Database» more  ICDT 2010»
16 years 4 months ago
Probabilistic Data Exchange
The work reported here lays the foundations of data exchange in the presence of probabilistic data. This requires rethinking the very basic concepts of traditional data exchange, ...
Ronald Fagin, Benny Kimelfeld, Phokion Kolaitis
ICCAD
2002
IEEE
124views Hardware» more  ICCAD 2002»
16 years 3 months ago
Symbolic pointer analysis
— One of the bottlenecks in the recent movement of hardware synthesis from behavioral C programs is the difficulty in reasoning about runtime pointer values at compile time. The...
Jianwen Zhu
WWW
2010
ACM
16 years 1 months ago
The anatomy of an ad: structured indexing and retrieval for sponsored search
The core task of sponsored search is to retrieve relevant ads for the user’s query. Ads can be retrieved either by exact match, when their bid term is identical to the query, or...
Michael Bendersky, Evgeniy Gabrilovich, Vanja Josi...