Range Range Aggregate Processing Spatial Da Ases

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA …

Range Aggregate Processing in Spatial Databases Yufei Tao and Dimitris Papadias Abstract—A range aggregate query returns summarized information about the points falling in a hyper-rectangle (e.g., the total number of these points instead of their concrete ids). This paper studies spatial indexes that solve such queries efficiently and

Probabilistic Threshold Range Aggregate Query Processing over Uncertain

Large amount of uncertain data is inherent in many novel and important applications such as sensor data analysis and mobile data management. A probabilistic threshold range aggregate (PTRA) query retrieves summarized information about the uncertain objects satisfying a range query, with respect to a given probability threshold.

Efficient Approximate Range Aggregation over Large-scale Spatial …

Range aggregate processing in spatial databases. Article. Full-text available. Jan 2005; Yufei Tao; Dimitris Papadias; A range aggregate query returns summarized information about the points ...

Euler histogram tree: A spatial data structure for aggregate range

We address the problem of efficient processing of count aggregate queries for spatial objects in OLAP systems. One of the main issues affecting the efficient spatial analysis is the, so called ...

Algorithms for Range-Aggregate Query Problems Involving …

We consider variations of the standard orthogonal range searching motivated by applications in database querying and VLSI layout processing. In a generic instance of such a problem, called a range-aggregate query problem we wish to preprocess a set S of geometric objects such that given a query orthogonal range q, a certain intersection or proximity query on the objects of S …

Approximate range query processing in spatial network …

Spatial range query is one of the most common queries in spatial databases, where a user invokes a query to find all the surrounding interest objects. Most studies in range search consider Euclidean distances to retrieve the result in low cost, but with poor accuracy (i.e., Euclidean distance less than or equal network distance). Thus, researchers show that range …

Query processing in spatial databases containing obstacles

Despite the existence of obstacles in many database applications, traditional spatial query processing assumes that points in space are directly reachable and utilizes the Euclidean distance metric. In this paper, we study spatial queries in the presence of obstacles, where the obstructed distance between two points is defined as the length of the shortest path that …

The 2024 Guide to Data Aggregation (+ Tools and …

Spatial Aggregation: Aggregate sales data by geographic regions or countries to identify top-performing markets and potential areas for expansion. Example 2: Healthcare Patient Outcome Analysis Scenario: A hospital …

MRFM: An Efficient Approach to Spatial Join Aggregate

Spatial join aggregate(SJA) is a commonly used but time-consuming operation in spatial database. Since it involves both the spatial join and the aggregate operation, performing SJA is a challenging task especially facing the deluge of spatial data. ... Tao, Y., Papadias, D.: Range aggregate processing in spatial databases. IEEE Transactions on ...

[PDF] Aggregate Processing of Planar Points | Semantic …

It is shown that, an aggregate window query can be answered in logarithmic worst-case time by an indexing structure called the aP-tree, and efficient cost models that predict the structure size and actual query cost are proposed. Aggregate window queries return summarized information about objects that fall inside a query rectangle (e.g., the number of …

Range aggregate processing in spatial databases

A range aggregate query returns summarized information about the points falling in a hyper-rectangle (e.g., the total number of these points instead of their concrete ids). This …

[PDF] Range-Aggregate Proximity Detection for Design Rule …

This paper considers the problem of determining if any pair of points in a query range are within a constant λ of each other and considers variants with ranges being a vertical strip, a quadrant and a rectangle. In a range-aggegate query problem we wish to preprocess a set S of geometric objects such that given a query orthogonal range q, a certain intersection or proximity query …

Approximately processing aggregate range queries on remote spatial

Processing aggregate range queries on remote spatial databases suffers from accessing huge and/or large number of databases that operate autonomously and simple and/or restrictive web API interfaces.

(PDF) Spatial Online Analytical Processing (SOLAP)

A tessellation-based methodology for interactively analyzing the spatiooral evolution of a dynamic phenomenon ' ice coverage and its characteristics ' using a spatial online analytical processing ...

Range Aggregate Processing in Spatial Databases

A range aggregate query returns summarized information about the points falling in a hyper-rectangle (e.g., the total number of these points instead of their concrete ids). This paper …

ESTA: An Efficient Spatial-Temporal Range Aggregation Query Processing …

An Efficient Spatial-Temporal range Aggregation query processing (ESTA) algorithm for UAV networks that transforms the aggregation processing of query results into recursively solving the set cover problem, thereby constructing a spatial-temporal aggregation tree (STAT), based on which an efficient in-network aggregation routing path for query results …

Predicted range aggregate processing in spatio …

movements), while the aggregate information (the number of vehicles) is usually stable and measurable (e.g., finding the number of vehicles across the center during the next 5 minutes) …

Efficient Approximate Range Aggregation Over Large-Scale …

Range aggregation is a primitive operation in spatial data applications and there is a growing demand to support such operations over a data federation, where the entire spatial …

PolyFit: Polynomial-based Indexing Approach for Fast …

indexing approach (PolyFit) for processing approximate range aggregate queries. Our contributions are summarized as follows. •To the best of our knowledge, this is the first study that utilizes polynomial functions to learn indexes that support approximate range aggregate queries. •PolyFit supports multiple types of range aggregate queries,

sbm/sbm range range aggregate processing spatial da …

sbm range range aggregate processing spatial da asesResilience and survivability in communication networks. 2014 3 8 · A network''

Range aggregation | Elasticsearch Guide [8.15] | Elastic

Running a range aggregation over histogram fields computes the total number of counts for each configured range. This is done without interpolating between the histogram field values. Consequently, it is possible to have a range that is "in-between" two histogram values. The resulting range bucket would have a zero doc count.

Approximately processing aggregate range queries on remote spatial

Processing aggregate range queries on remote spatial databases suffers from accessing huge and/or large number of databases that operate autonomously and simple and/or restrictive web API interfaces. To overcome these difficulties, this paper applies a revised version of regular polygon-based search algorithm (RPSA) to approximately search aggregate range …

Approximately processing aggregate range queries on remote spatial

On Efficient Storing and Processing of Long Aggregate Lists

This paper presents a solution called Materialized Aggregate List, designed for the efficient storing and processing of long aggregate lists, and presents three different page-filling algorithms used when the list is browsed. In this paper we present a solution called Materialized Aggregate List designed for the efficient storing and processing of long …

PolyFit: Polynomial-based Indexing Approach for Fast …

A range aggregate query [33] retrieves records in a dataset that belong to a given key range and then applies an aggregate func-tion (e.g., SUM, COUNT, MIN, MAX) to a attribute of those records. Range aggregate queries are used in OLAP [33, 63] and data analytics applications, e.g., for outlier detection [66, 68], data

Answering Range-Aggregate Queries over Objects

This paper obtains a spatial aggregating index with functionality of answering range queries over objects generating data streams, embedded in an experimental stream data warehouse system implemented in Java. Nowadays computer systems process various types of data such as images, videos, maps, data streams to name a few. In this paper we focus on a problem of …

(PDF) Range-Aggregate Proximity Detection for Design

Spatial Datab ases: A Tour, Prentice Hall, 2002. [8] N. Sherwani. Algorithms for VLSI Physical Design Au- ... Range aggregate processing in spatial databases. Article. Full-text available. Jan 2005;

Range aggregate processing in spatial databases

A range aggregate query returns summarized information about the points falling in a hyper-rectangle (e.g., the total number of these points instead of their concrete ids).

Processing spatial join aggregate in Map-Reduce based on …

The experiment results show that, compared with the non-indexed SJA, the time performance of RSJA-MR is improved at least by 8% for spatial intersection join aggregate and by 35% for spatial ...

PolyFit: Polynomial-based Indexing Approach for Fast …

based indexing approach (PolyFit) for processing approxi-mate range aggregate queries. Our contributions are sum-marized as follows. To the best of our knowledge, this is the rst study ... Wang et al. [45] extend this idea to the spatial domain with their learned Z-order model that aims to sup-port fast spatial indexing. These studies all di er ...