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(PDF) Evaluation of Top-k OLAP Queries Using Aggregate R ...

2.3 Top-k Aggregate Queries [11] propose methods for processing top-k r a n g e queries in OLAP cubes. Given an arbitrary query range, the problem is to find the top-k measures in this range. This query is a generalization of m a x range queries (i.e., k = 1 for m a x queries). The data cube is partitioned into sufficiently small cells and the ...

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Aggregate Function Queries in Access - Tutorial and ...

Aggregate Function Queries in Access: Overview You can create aggregate function queries in Access that perform a mathematical function on another grouped field in a query. Aggregate function queries in Access are usually shorter queries often used for summary totals in reporting.

Aggregations | Elasticsearch Reference [7.3] | Elastic

The aggregations framework helps provide aggregated data based on a search query. It is based on simple building blocks called aggregations, that can be composed in order to build complex summaries of the data. An aggregation can be seen as a unit-of-work that builds analytic information over a set of documents. The context of the execution ...

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Aggregate Projections | Vertica

• Top-K projections Aggregate projections are most useful for queries against large sets of data. Because you cannot update or delete data in tables that use aggregate projections, you should use aggregate projections for tables with data that is loaded and does not .

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Aggregate Function Query - Access Programmer-Consultants

Aggregate Function Query. Aggregate function query performs calculations as calculations within an SQL query. Aggregates are most often used in combination with a Group By clause. Below are the SQL aggregate functions available in an MS Access query:

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Range-Aggregate Queries Involving Geometric Aggregation ...

Range-Aggregate Queries Involving Geometric Aggregation Operations Saladi Rahul, Ananda Swarup Das, K. S. Rajan, and Kannan Srinathan fsrahul,[email protected] frajan, [email protected]

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The Excel AGGREGATE Function - excelfunctions
Aggregate Functions (Transact-SQL) - SQL Server ...

Aggregate Functions (Transact-SQL) 08/15/2018; 2 minutes to read +4; In this article. APPLIES TO: SQL Server Azure SQL Database Azure SQL Data Warehouse Parallel Data Warehouse An aggregate function performs a calculation on a set of values, and returns a single value.

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Evaluation of Top-k OLAP Queries Using Aggregate R–Trees

Evaluation of Top-k OLAP Queries Using Aggregate R–Trees 239 non-leaf entry ei corresponds to an aggregate value (e.g., sum) for all measures in the subtree pointed by ei. The tree can be used to efficiently computeaggregaterange queries, which summa- rize .

  • Published in: symposium on large spatial databases · 2005Authors: Nikos Mamoulis · Spiridon Bakiras · Panos KalnisAffiliation: University of Hong Kong · Hong Kong University of Science and Technology · National .About: R-tree · Spatial database · Data cube · Branch and bound · Data warehouse · Grid[PDF]Get Price
Probabilistic top-k and ranking-aggregate queries ...

Furthermore, uncertainty imposes probability as a new ranking dimension that does not exist in the traditional settings. In this article we introduce new probabilistic formulations for top-k and ranking-aggregate queries in probabilistic databases. Our formulations are based on marriage of traditional top-k semantics with possible worlds semantics.

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Aggregate function - Wikipedia

Decomposable aggregate functions. Aggregate functions present a bottleneck, because they potentially require having all input values at once.In distributed computing, it is desirable to divide such computations into smaller pieces, and distribute the work, usually computing in parallel, via a divide and conquer algorithm.. Some aggregate functions can be computed by computing the aggregate for ...

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(PDF) Evaluation of Top-k OLAP Queries Using Aggregate R ...

2.3 Top-k Aggregate Queries [11] propose methods for processing top-k r a n g e queries in OLAP cubes. Given an arbitrary query range, the problem is to find the top-k measures in this range. This query is a generalization of m a x range queries (i.e., k = 1 for m a x queries). The data cube is partitioned into sufficiently small cells and the ...

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sql - Use two aggregate functions in the same query ...

Use two aggregate functions in the same query. Ask Question Asked 6 years, 6 months ago. ... The problem is that getting the speakers requires using an aggregate function, and so does getting the most similar talks. ... breaking down the second query because I could not for the life of me work out why it wasn't working properly. Both queries ...

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Aggregate k-nearest neighbors queries in time-dependent ...

In this paper we present an algorithm for processing aggregate nearest neighbor queries in time-dependent road networks, i.e., given a road network where the travel time over an edge is time-dependent, a set of query points Q, a set of points of interest (POIs) P and an aggregate function (e.g., sum), we find the k POIs that minimize the aggregated travel time from the query points.

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Aggregate function - Wikipedia

Decomposable aggregate functions. Aggregate functions present a bottleneck, because they potentially require having all input values at once.In distributed computing, it is desirable to divide such computations into smaller pieces, and distribute the work, usually computing in parallel, via a divide and conquer algorithm.. Some aggregate functions can be computed by computing the aggregate for ...

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Evaluation of Top-k OLAP Queries Using Aggregate R–trees

with the largest aggregate value (e.g., "find the 10 combinations of product-type and month with the largest sum of sales"). A naive way to process top-k OLAP queries (andiceberg queries) is to perform the aggregation for each cell and then select the cells with

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Aggregate – A Powerful Tool for Data Frame in R | R-bloggers

Nov 16, 2015 · This post gives a short review of the aggregate function as used for data.frames and presents some interesting uses: from the trivial but handy to the most complicated problems I have solved with aggregate. Aggregate (data.frame): Technical Overview Aggregate is a function in base R which can, as the name suggests, aggregate the inputted data.frame [.]

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On Efficient Aggregate Nearest Neighbor Query Processing ...

On Efficient Aggregate Nearest Neighbor Query Processing in Road Networks. Authors; ... Jing Y, Sun W, Mao D, Liu P. Voronoi-based aggregate nearest neighbor query processing in road networks. In Proc. the 18th ... Mouratidis K, Hui C K. Aggregate nearest neighbor queries in spatial databases. ACM Transactions on Database Systems, 2005, 30(2 ...

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CiteSeerX — K-Nearest Neighbor Temporal Aggregate Queries

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We study a new type of queries called the k-nearest neigh-bor temporal aggregate (kNNTA) query. Given a query point and a time interval, it returns the top-k locations that have the smallest weighted sums of (i) the spatial distance to the query point and (ii) a temporal aggregate on a cer-tain attribute over the time ...

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How to Query MongoDB with SQL SELECT | NoSQLBooster for ...

The Equivalent MongoDB Query can be viewed in the console.log tab. It should be mentioned that there is a tutorial on NoSQLBooster SQL Query for MongoDB in the lower left "Samples" pane. With this tutorial, you can learn and understand how to use NoSQLBooster SQL Query for MongoDB.

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