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» Joining Interval Data in Relational Databases
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GVD
2009
125views Database» more  GVD 2009»
13 years 5 months ago
A quantum logic-based query processing approach for extending relational query languages
Evaluating a traditional database query against a data tuple returns a true on match and a false on mismatch. Unfortunately, there are many application scenarios where such an eva...
Sebastian Lehrack
SIGMOD
2006
ACM
426views Database» more  SIGMOD 2006»
14 years 7 months ago
Effective keyword search in relational databases
With the amount of available text data in relational databases growing rapidly, the need for ordinary users to search such information is dramatically increasing. Even though the ...
Fang Liu, Clement T. Yu, Weiyi Meng, Abdur Chowdhu...
ICDE
2003
IEEE
161views Database» more  ICDE 2003»
14 years 9 months ago
Structural Join Order Selection for XML Query Optimization
Structural join operations are central to evaluating queries against XML data, and are typically responsible for consuming a lion's share of the query processing time. Thus, ...
Yuqing Wu, Jignesh M. Patel, H. V. Jagadish
SIGMOD
2001
ACM
146views Database» more  SIGMOD 2001»
14 years 7 months ago
On Supporting Containment Queries in Relational Database Management Systems
Virtually all proposals for querying XML include a class of query we term "containment queries". It is also clear that in the foreseeable future, a substantial amount of...
Chun Zhang, Jeffrey F. Naughton, David J. DeWitt, ...
ICDE
2002
IEEE
130views Database» more  ICDE 2002»
14 years 9 months ago
Structural Joins: A Primitive for Efficient XML Query Pattern Matching
XML queries typically specify patterns of selection predicates on multiple elements that have some specified tree structured relationships. The primitive tree structured relations...
Shurug Al-Khalifa, H. V. Jagadish, Jignesh M. Pate...