SIGMOD
1996
ACM
13 years 9 months ago
1996
ACM
Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely st,udied problems in this area is the identification of clusters...
SIGMOD
1996
ACM
13 years 9 months ago
1996
ACM
We introduce the problem of mining association rules in large relational tables containing both quantitative and categorical attributes. An example of such an association might be...
SIGMOD
1996
ACM
13 years 9 months ago
1996
ACM
Magic sets rewriting is a well-known optimization heuristic for complex decision-support queries. There can be many variants of this rewriting even for a single query, which diffe...
SIGMOD
1996
ACM
13 years 9 months ago
1996
ACM
We investigate the problem of incremental maintenance of an SQL view in the face of database updates, and show that it is possible to reduce the total time cost of view maintenanc...
SIGMOD
1996
ACM
13 years 9 months ago
1996
ACM
This paper describes PBSM (Partition Based Spatial
SIGMOD
1996
ACM
13 years 9 months ago
1996
ACM
Many commercial database systems maintain histograms to summarize the contents of relations and permit efficient estimation of query result sizes and access plan costs. Although s...
SIGMOD
1996
ACM
13 years 9 months ago
1996
ACM
While much recent research has focussed on extending databases beyond the traditional relational model, relatively little has been done to develop database tools for querying data...
SIGMOD
1996
ACM
13 years 9 months ago
1996
ACM
Object-Relational and Object-Oriented DBMSs allow users to invoke time-consuming ("expensive") methods in their queries. When queries containing these expensive methods a...
SIGMOD
1996
ACM
13 years 9 months ago
1996
ACM
Decision support applications involve complex queries on very large databases. Since response times should be small, query optimization is critical. Users typically view the data ...
SIGMOD
1996
ACM
13 years 9 months ago
1996
ACM
: Update anywhere-anytime-anyway transactional replication has unstable behavior as the workload scales up: a ten-fold increase in nodes and traffic gives a thousand fold increase ...