Most modern DBMS optimizers rely upon a cost model to choose the best query execution
plan (QEP) for any given query. Cost estimates are heavily dependent upon the optimizer's …

8 Completeness-Driven Query Optimization Page 1 8 Completeness-Driven Query
Optimization Completeness measures the usefulness of a source or of a plan to answer a …

Virtually every commercial query optimizer chooses the best plan for a query using a cost
model that relies heavily on accurate cardinality estimation. Cardinality estimation errors can …

Estimating the selectivity of a query is a key step in almost any cost-based query optimizer.
Most of today's databases rely on histograms or samples that are periodically refreshed by …

Accurately predicting the cardinality of intermediate plan operations is an essential part of
any modern relational query optimizer. The accuracy of said estimates has a strong and …

For many information domains there are numerous World Wide Web data sources. The
sources vary both in their extension and their intension: They represent different real-world …

An optimizer function of a Relational Database Manage ment System (RDBMS) generates
alternative query execu tion plans (QEPs) for executing a query, provides an execu tion …

SQL has emerged as an industry standard for querying relational database management
systems, largely because a user need only specify what data is wanted, not the details of …

Datenbanksysteme gehören zu den wichtigsten Produkten der Software-Industrie; kaum
eine größere Informatikanwendung ist ohne Datenbankunterstützung denkbar. Ausgehend …

This paper studies how to catch duplicates, mismatches and conflicts in the same process.
We adopt a class of entity enhancing rules that embed machine learning predicates, unify …