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» Inferencing in Database Semantics
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MIR
2003
ACM
174views Multimedia» more  MIR 2003»
15 years 9 months ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz
JCST
2008
121views more  JCST 2008»
15 years 4 months ago
Clustering Text Data Streams
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu
SIGMOD
2004
ACM
165views Database» more  SIGMOD 2004»
16 years 4 months ago
Industrial-Strength Schema Matching
Schema matching identifies elements of two given schemas that correspond to each other. Although there are many algorithms for schema matching, little has been written about build...
Philip A. Bernstein, Sergey Melnik, Michalis Petro...
ER
2007
Springer
137views Database» more  ER 2007»
15 years 10 months ago
Prioritized Preferences and Choice Constraints
It is increasingly recognised that user preferences should be addressed in many advanced database applications, such as adaptive searching in databases. However, the fundamental is...
Wilfred Ng
EDBT
2010
ACM
208views Database» more  EDBT 2010»
15 years 11 months ago
Stream schema: providing and exploiting static metadata for data stream processing
Schemas, and more generally metadata specifying structural and semantic constraints, are invaluable in data management. They facilitate conceptual design and enable checking of da...
Peter M. Fischer, Kyumars Sheykh Esmaili, Ren&eacu...