Probabilistic Top-k and Ranking-Aggregate Queries · PDF file

    Probabilistic Top-k and Ranking-Aggregate Queries • 13:3Fig. 1. (a) A relation with tuple uncertainty; (b) example ranking and aggregation queries. or plate number images that are not clear enough to identify the car precisely).

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    ksqlDB Aggregate Functions

    Aggregate functions to use in ksqlDB statements and queries. Stream, Table. Return a map containing the distinct String values of col1 mapped to the number of times each one occurs for the given window. This version limits the number of distinct values which can be counted to 1000, beyond which any additional entries are ignored.

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    8KData Blog | ToroDB, PostgreSQL. All NoSQL & SQL

    A few days ago we published a blog post, "The conundrum of BI/aggregate queries on MongoDB", where we analyzed and measured some performance issues that happen on MongoDB with aggregate/OLAP/DW type of queries.We also showed that if we would transform the JSON data into a relational form and query it with SQL on a PostgreSQL database, performance can be up to orders of .

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    An Introduction to Using SQL Aggregate Functions with ...

    7/6/2017 · A Final Tip on Working with SQL Aggregate Functions. Finally, I'd like to add that working with sql aggregate functions especially when using JOINs requires you understand SQL and the data you are working with. Try the queries in a smaller subset of your data first to confirm that all calculations are working as expected.

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    1 Authenticating Aggregate Queries over Set-Valued Data ... · PDF file

    1 Authenticating Aggregate Queries over Set-Valued Data with Confidentiality Cheng Xu, Qian Chen, Haibo Hu, Xu, Xiaojun Hei Abstract—With recent advances in data-as-a-service (DaaS) and cloud computing, aggregate query services over set-valued data are becoming widely available for business intelligence that drives decision making.

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    Aggregate Functions - Oracle

    Aggregate Functions . Aggregate functions return a single result row based on groups of rows, rather than on single rows. Aggregate functions can appear in select lists and in ORDER BY and HAVING clauses. They are commonly used with the GROUP BY clause in a SELECT statement, where Oracle Database divides the rows of a queried table or view into groups. In a query containing a GROUP BY .

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    All About Aggregate Queries Using Access 2016 | UniversalClass

    All About Aggregate Queries Using Access 2016. An aggregate query lets you determine statistics for a set of values. For example, you can determine the sum, average, and count. An aggregate query is also known as a Summary Query or a Totals Query. Calculating a Group of Query Records in Design View .

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    Continuous aggregate nearest neighbor queries — Experts ...

    A CANN query specifies a set of landmarks, an integer k, and an aggregate distance function f (e. g., min, max, or sum), where f computes the aggregate distance between a moving object and each of the landmarks. The answer to this continuous query is the set of k moving objects that have the smallest aggregate distance f.

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    Efficient external memory structures for range-aggregate ...

    We present external memory data structures for efficiently answering range-aggregate queries. The range-aggregate problem is defined as follows: Given a set of weighted points in Rd, compute the aggregate of the weights of the points that lie inside a d-dimensional orthogonal query rectangle.

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    "Aggregate Queries" | Tek Prince Solutions

    "Aggregate Queries" Please respond to the following: Suppose you have been hired as an IT professional to support database reporting functionality for a Human Resources system. Compose at least two aggregate function queries that can be useful for the executives of the organization to extract summary data from a database system.

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    How to Use Aggregate Queries in MS Access - Data Recovery Blog

    Aggregate Query. As mentioned already, aggregate query takes into account the total, or subset, or gross amount of records. There are several operations that can be performed using Aggregate queries. For performing calculations on a group of records, there are several operations that can be followed, a few of which are explained below.

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    REGULAR PAPER Jian Pei Ke Wang Answering ad hoc aggregate ...

    aggregate queries online, materializing some aggregate cells is very effective. PAT and BUC have comparable performance in terms of query answering. However, as discussed before and will be shown later in this section, PAT com-putes and materializes much fewer aggregate .

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    Improving Aggregate Recommendation Diversity Using Top K ... · PDF file

    Improving Aggregate Recommendation Diversity Using Top K Queries S.Abirami1 A.Carolin Arockia Mary2 V.R.Azhaguramyaa3 PG Scholar, ME-Software Engineering PG Scholar, ME-Software Engineering Assistant Professor, Computer Science and Engineering Abstract Information overload is one of the major problems in today's life.

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    Efficient Processing of Ad-Hoc Top-k Aggregate Queries in OLAP · PDF file

    k aggregate queries is very important and challenging. We address this challenge in the paper. A distinguishing goal of our work is to support ad-hoc ranking aggregation criteria. With respect to G, we aim to support not only standard aggregate functions such as sum, count, avg, min, and max, but also user-dened aggregate functions.

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    Rewriting aggregate queries using views | 10.1145/303976 ...

    Now we define the result of evaluating q over D as q= := {(d,e) ) 6= y(S) for some y E and e = +a($))}. r, where we interpret function. 4 Equivalence the aggregate term K. as an aggregation of Aggregate Queries In this subsection we define formally the syntax of aggregate queries.

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    Processing Location-Based Aggregate Queries in Road Networks · PDF file

    The KNN query is the most common type of location-based queries, as it has important applications to the provision of location-based services. Many variations of KNN query have been proposed to provide the K-nearest neighbor information in numerous applica-tions [5, 6, 7]. Some recent works consider both the spatial closeness of objects to the

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    Mongo Aggregates and How to explain Aggregate queries ...

    You can use all different types of aggregate queries like average, min and max. Lookup other collections in Mongo Aggregate Lookup is one of the most important aggregate queries which you can use. This allows us to join different collections together and get data from the other collections as well.

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    Continuous aggregate nearest neighbor queries · PDF file

    k-nearest objects to only one certain point, the aggregate k-nearest-neighbor queries aimtofindthek-nearest objects to a set of multiple points. In that sense, the query answer to the aggregate k-nearest-neighbor query needs to be defined through an aggregate to define how an object is considered close-by to the set of multiple points.

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    K-Nearest Neighbor Temporal Aggregate Queries · PDF file

    aggregate queries (e.g., return the number of cars in the city center during the last hour). The kNNTA query dif-fers from these queries in that (i) it returns the POIs rather than the aggregate value (e.g., the number of cars) and (ii) its aggregate is over the history of individual POIs (e.g., the check-in history) rather than spatial regions ...

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    Range-Aggregate Queries Involving Geometric Aggregation ... · PDF file

    Range-Aggregate Queries Involving Geometric Aggregation Operations Saladi Rahul, Ananda Swarup Das, K. S. Rajan, and Kannan Srinathan fsrahul,[email protected] frajan, [email protected] International Institute of Information Technology, Hyderabad, India Abstract. In this paper we consider range-aggregate query problems

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    Aggregations | Elasticsearch Reference [7.8] | Elastic

    Aggregations that aggregate the output of other aggregations and their associated metrics The interesting part comes next. Since each bucket effectively defines a document set (all documents belonging to the bucket), one can potentially associate aggregations on the bucket level, and those will execute within the context of that bucket.

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