User Charge Estimation in Numeric Online Databases: A Methodology |
From inside the book
Results 1-3 of 13
Page 20
... derived on the basis of the operand FDs and the join attribute dependencies . These are the only FDs that can be derived with certainty on the basis of the operand FD - sets and the join - i.e. without knowing how the operands have been ...
... derived on the basis of the operand FDs and the join attribute dependencies . These are the only FDs that can be derived with certainty on the basis of the operand FD - sets and the join - i.e. without knowing how the operands have been ...
Page
... derived can easily be mapped onto the more thorough file description . In order to be able to manipulate the components of n - tuples , the following selector function is used . DEFINITION 1. Let t be any n - tuple . The selector ...
... derived can easily be mapped onto the more thorough file description . In order to be able to manipulate the components of n - tuples , the following selector function is used . DEFINITION 1. Let t be any n - tuple . The selector ...
Page 26
... derived on the basis of the operand FDs and the join attribute dependencies . These are the only FDs that can be derived with certainty on the basis of the operand FD - sets and the parameters of the join operation - i.e. without ...
... derived on the basis of the operand FDs and the join attribute dependencies . These are the only FDs that can be derived with certainty on the basis of the operand FD - sets and the parameters of the join operation - i.e. without ...
Contents
USER CHARGING | 13 |
THE RELATIONAL DATA MODEL | 20 |
CARDINALITY ESTIMATION IN NUMERIC ONLINE | 32 |
Copyright | |
7 other sections not shown
Common terms and phrases
A-names access strategy Appendix approach attribute description set attribute name set attribute selectivity attribute values attributes PRODUCT-NO basis BDBs candidate keys cardinality estimation charging methods CODATA components computed connect-time considered constructed data model database files Database Management Database Management Systems database user developed elementary predicates English Summary example expression F1 and F2 FD-set file design file organization file structures Finland functional dependencies implementation information retrieval Information Science intermediate files inverted file Järvelin join attribute join predicate julkaisuja manipulation MANUF-NO MARKET-SHARE methodology n-tuple NDBs Numeric Databases online databases operand file description procedure cost model processing cost PRODUCTS file QSALES query cardinality query cost modelling query negotiation query optimization query processing query results r-card r-description RA operations records relational algebra relational data model restriction predicate result file description SIGMOD sort-key storage parameters Systems TAHITI TRADEMARK TYPE unit charges University of Tampere upper bound user charge estimation vendor