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Aggregate Query Processing Meaning

in this paper, we study the meaning and implementation of grouping and aggregate queries over rdf graphs. we first define grouping and aggregate operators 

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Groupwise Processing Of Relational Queries
Groupwise Processing Of Relational Queries

partitions could be processed in parallel. attributes and a list of aggregate functions to be com- are the relational operations (as defined above) used in q.

Extending Practical Pre-Aggregation In On-Line Analytical
Extending Practical Pre-Aggregation In On-Line Analytical

terialized, for later use during query processing. pre- aggregation has summarizable, meaning that we can pre-aggregate values at any combination of 

Verdictdb Universalizing Approximate Query Processing
Verdictdb Universalizing Approximate Query Processing

not observe any speedup. currently, verdictdb supports queries with mean-like statistics, including common aggregate functions. (e.g., count, sum, avg, quantile 

Efficient And Effective Aggregate Keyword Search
Efficient And Effective Aggregate Keyword Search

second, finding the top-k answers to an aggregate keyword query has not been although many non-minimal answers are pruned during the query processing if a group-by has a high density score, it means that query keywords appear 

Sql For Aggregation In Data Warehouses
Sql For Aggregation In Data Warehouses

the term dimension is used to mean any category used in specifying questions. among the most quicker and more efficient query processing. reduced client 

Approximate Query Processing What Is New And Where To Go
Approximate Query Processing What Is New And Where To Go

to alleviate this problem, approximate query processing (aqp) has been (1) online aggregation: select samples online and use these samples to where sigma can be computed by the mean squared error var(s) [20].

What Is Data Aggregation?
What Is Data Aggregation?

data aggregation is any process whereby data is gathered and expressed in a questions and also dramatically reduce the time to query large sets of data.

The Design Of An Acquisitional Query Processor For Sensor
The Design Of An Acquisitional Query Processor For Sensor

the context of tinydb, a distributed query processor for smart sensor devices, and show how applying aggregation and filtering operations inside the sensor network to deploy means that communication topologies must be automatically.

A Sample-And-Clean Framework For Fast And Accurate Query
A Sample-And-Clean Framework For Fast And Accurate Query

aggregate query processing over very large datasets can be slow and prone queries. sample-. clean gives results that are unbiased which means in expec-.

Daq A New Paradigm For Approximate Query Processing
Daq A New Paradigm For Approximate Query Processing

challenge is approximate query processing, where the user is presented with a aggregation functions are defined on bags instead of sets or lists, since the 

Optimized Processing Of Multiple Aggregate Continuous Queries
Optimized Processing Of Multiple Aggregate Continuous Queries

partial aggregation reduces the overall query processing cost by processing each clearly, smaller number of partial aggregates means fewer final ag- gregate 

Efficient Ranking And Aggregate Query Processing In
Efficient Ranking And Aggregate Query Processing In

efficient ranking and aggregate query processing in probabilistic databases. princial investigator: feifei li, supported by the iis program from nsf, award 

Sum-Optimal Histograms For Approximate Query Processing
Sum-Optimal Histograms For Approximate Query Processing

histograms are widely used in query processing, data analysis, our first contribution is the sum-optimal histogram we defined which can [16] proposed an incremental aqp method reusing the previous aggregation query 

Aggregate Query Processing For Semantic Web
Aggregate Query Processing For Semantic Web

in this paper, we study the meaning and implementation of grouping and aggregate queries over rdf graphs. we first define grouping and aggregate operators 

Optimally For Approximate Query Processing
Optimally For Approximate Query Processing

aggregate queries whose predicates align with the partitions (or unions of these empirical mean values tend towards a normal distribution.

Sql For Aggregation In Data Warehouses
Sql For Aggregation In Data Warehouses

quicker and more efficient query processing. for example, in cube or rollup , composite columns would mean skipping aggregation across certain levels.

Groupwise Processing Of Relational Queries
Groupwise Processing Of Relational Queries

partitions could be processed in parallel. attributes and a list of aggregate functions to be com- are the relational operations (as defined above) used in q.

Query Processing - An Overview
Query Processing - An Overview

all non-native rdf engines directly benefit from rdbms query processing facilities. the plan status is generally polled every few seconds, as new aggregate with an sql interface also provide user definition function (udf) utility, that is, 

Scalable Approximate Query Processing With The Dbo Engine
Scalable Approximate Query Processing With The Dbo Engine

maintain a guess as to the final answer to an aggregate query throughout processing order is defined by the hash functions h1 and h2 associated with r1.

Computing Systems For Data
Computing Systems For Data

query processing (as shown in the figure) is the process that transforms a materialization means that it has been computed and stored in memory or on for q1 and q3, we can group by month and aggregate sales for each month, as the.