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Simultaneous Optimization and Evaluation of Multiple Dimensional Queries

Summary: Three algorithms to optimize multiple related dimensional queries and derive a global plan from related local plans, or directly from the set. Three new evaluation primitives enable common-subtask sharing across related plans, boosting MDX/OLAP performance with relational data sources. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3020
Venue
SIGMOD
Year
1998
Pagerank
0.0001618536
Overall Rank
829 | 94.24%
DOI
-

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Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
11 Implementing Data Cubes Efficiently 1996 SIGMOD 0.0011708144
51 Including Group-By in Query Optimization 1994 VLDB 0.00067123727
121 Improved Query Performance with Variant Indexes 1997 SIGMOD 0.00045447517
218 Aggregate-Query Processing in Data Warehousing Environments 1995 VLDB 0.00033503922
248 Eager Aggregation and Lazy Aggregation 1995 VLDB 0.00030785339
769 Client-Server Paradise 1994 VLDB 0.00016918508
1,754 Querying Multiple Features of Groups in Relational Databases 1996 VLDB 0.00010670609
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