Of Occurrences 0 Audio/Visual 2 Books 2 Null values will effect the results from an

aggregate functionFor an aggregate production function to exist, one must be able to aggregate different production techniques into a single

aggregate function and aggregate heterogeneous outputs and inputs into aggregate indexes.

In this approach, information about the characteristics of the monetary aggregates is obtained by empirically estimating the parameters of a monetary

aggregate function consisting of various monetary assets.

High-Performance SPARQL-compliant RDF Quad Store - Full Text Indexing extension to SPARQL - SPARQL Update Language (SPARUL) support -

Aggregate Function extensions to SPARQL - Integration of SPARQL and SQL - Built-in Middleware ("Sponger") for dynamically producing RDF data from non-RDF data sources - Declarative SQL to RDF mapping

For each grouping field, you can define a collection of totals to be displayed - each total calculating its own

aggregate function.

CDR reports can be created with

aggregate functions like Sum, Average, Percentage and any grouping of columns other than start time.

Some paper topics include an early-stopping protocol for computing

aggregate functions in sensor networks, a hardware virtualization tool for malware analysis, an entropy based method for network anomaly detection, and chip-level redundancy in distributed shared-memory multiprocessors.

Aggregate Functions in WebGrid Column Footers fulfills users' need for a spreadsheet-style data display which shows calculations such as sum, average, count, minimum and maximum.

Quicksheet is a spreadsheet for your PDA with more than 60 built-in financial, scientific, statistical, date and time, table, and

aggregate functions.

Tempdb, a very frequent bottleneck for complex online applications as well as decision support applications that use

aggregate functions (and hence, tempdb).

1 with the inclusion of analytic functionality normally associated with sophisticated SQL products, such as windowed

aggregate functions.

He covers the theories behind structured data mining, multi-relational data, multi-relational patterns, multi-relational rule recovery, multi-relational decision tree induction,

aggregate functions and pre-positionalization,

aggregate functions and rule discovery, MRDM primitives, MRDM in action as a blueprint and project and then as a way to locate transformation rules, and the validity of the MRMD approach.