
(PDF) Range aggregate processing in spatial databases
Range aggregate processing in spatial databases. January 2005; IEEE Transactions on Knowledge and Data Engineering 16(12):1555 1570; DOI: 10.1109/TKDE.2004.93. Source; IEEE
Range Aggregate Processing in Spatial Databases IEEE
A range aggregate query returns summarized information about the points falling in a hyperrectangle (e.g., the total number of these points instead of their concrete ids). This paper studies spati...
Range aggregate processing in spatial databases IEEE
01/11/2004· Range aggregate processing in spatial databases Abstract: A range aggregate query returns summarized information about the points falling in a hyperrectangle (e.g., the total number of these points instead of their concrete ids).
range aggregate processing spatial databases
range aggregate processing spatial databases. There are forty years of manufacturing history, with three major production bases,over 160 senior R&D engineers and 600+ large and mediumsized digital processing equipment, The firstline technicians and professional aftersales service personnel up to 2,300+ and 200+ respectively.
Range Aggregate Processing in Spatial Databases
Range Aggregate Processing in Spatial Databases Yufei Tao Department of Computer Science City University of Hong Kong Tat Chee Avenue, Hong Kong [email protected] Dimitris Papadias Department of Computer Science Hong Kong University of Science and Technology Clear Water Bay, Hong Kong [email protected] Abstract A range aggregate query returns summarized information
range aggregate processing spatial databases
Range Aggregate Processing Spatial Databases. Range Aggregate Processing in Spatial Databases by Yufei Tao, Dimitris Papadias TKDE, 2004 Abstract—A range aggregate query returns summarized information about the points falling in a hyperrectangle (e.g., the total number of these points instead of their concrete ids). Oline Chat . Service And Support . SpatialAggregation:
range aggregate processing spatial databases
We rst review the range aggregate processing methods in spatial databases the range aggregate ra query was proposed for the scenario where users are interested in summarized information about objects in a given range rather than individual objects thus, a ra query returns an aggregation value over objects qualied for a given range in
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,
in Spatial Databases Yufei Tao and Dimitris Papadias Abstract—A range aggregate query returns summarized information about the points falling in a hyperrectangle (e.g., the total number of these points instead of their concrete ids).
range aggregate processing spatial databases
spatial database range aggregate processing logarithmic cost range aggregate query paper study spatial index data set cardinality range query query size space consumption query cost aggregate pointtree total number concrete id popular multiversion structural framework twodimensional data extensive experiment small modification index term. range aggregate processing spatial databases . range
range aggregate processing spatial databases
range aggregate processing spatial databases. Range Aggregate Processing in Spatial Databases . CiteSeerX Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract—A range aggregate query returns summarized information about the points falling in a hyperrectangle (e.g., the total number of these points instead of their concrete ids).
Range Aggregate Processing in Spatial Databases.
A range aggregate query returns summarized information about the points falling in a hyperrectangle (e.g., the total number of these points instead of their concrete ids). This paper studies spatial indexes that solve such queries efficiently and proposes the aggregate Pointtree (aPtree), which achieves logarithmic cost to the data set
range aggregate processing spatial databases
range aggregate processing spatial databases. Predicted Range Aggregate Processing in Spatiotemporal . CiteSeerX Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Predicted range aggregate (PRA) query is an important researching issue in spatiotemporal databases. Recent studies have developed two major classes of PRA query methods: (1) accurate approaches, which
range aggregate processing spatial databases
Range Aggregate Processing in Spatial Databases. Yufei Tao, Dimitris Papadias, "Range Aggregate Processing in Spatial Databases," IEEE Transactions on
range aggregate processing spatial databases
Range aggregate processing in spatial databases IEEE Xplore. A range aggregate query returns summarized information about the points falling in a hyperrectangle (e.g., the total number of these points instead of their concrete
A Scalable Algorithm for Maximizing Range Sum in Spatial
We ﬁrst review the range aggregate processing methods in spatial databases. The range aggregate (RA) query was proposed for the scenario where users are interested in summarized information about objects in a given range rather than individual objects. Thus, a RA query returns an aggregation value over objects qualiﬁed for a given range. In
range aggregate processing spatial databases
spatial database range aggregate processing logarithmic cost range aggregate query paper study spatial index data set cardinality range query query size space consumption query cost aggregate pointtree total number concrete id popular multiversion structural framework twodimensional data extensive experiment small modification index term. range aggregate processing spatial databases . range
range aggregate processing spatial databases
range aggregate processing spatial databases. Range Aggregate Processing in Spatial Databases . CiteSeerX Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract—A range aggregate query returns summarized information about the points falling in a hyperrectangle (e.g., the total number of these points instead of their concrete ids).
Range Aggregate Processing Spatial Databases
Range Aggregate Processing In Spatial Databases Henan. Supporting aggregate range queries on remote spatial databases suffers from 1 huge and or large numbers of databases and 2 limited type of access interfaces this paper applies the regular polygon based search algorithm rpsa to effectively addressing these problems . Details
Aggregate Processing Spatial Databases BookZone
range aggregate processing in spatial databases. range aggregate processing in spatial databases. aggregate for concrete; usa construction aggregate mill; list out aggregate production process; Get Price. Welcome to the SAX University of California, Riverside. SAX is the first symbolic representation for time series that allows for dimensionality reduction and indexing with a
Indexing range sum queries in spatiotemporal databases
01/04/2007· The Rtree is known to be one of the most popular index structures to efficiently process window queries in spatial databases. Intuitively, the aggregate Rtree (aRtree),improves the Rtree’s performance in range sum queries by storing, in each intermediate entry, preaggregated sums of the objects in the subtree. Fig. 1 shows an example of an aRtree.
Range Aggregate Processing In Spatial Databases
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 polygonbased search algorithm (RPSA) to approximately search aggregate range query results over remote spatial .
range aggregate processing spatial databases
Range aggregate processing in spatial databases IEEE Xplore. A range aggregate query returns summarized information about the points falling in a hyperrectangle (e.g., the total number of these points instead of their concrete
A Scalable Algorithm for Maximizing Range Sum in Spatial
We ﬁrst review the range aggregate processing methods in spatial databases. The range aggregate (RA) query was proposed for the scenario where users are interested in summarized information about objects in a given range rather than individual objects. Thus, a RA query returns an aggregation value over objects qualiﬁed for a given range. In
Approximately processing aggregate range queries on
Approximately processing aggregate range queries on remote spatial databases January 2013 International Journal of Knowledge and Web Intelligence 4(4):314 335
range aggregate processing in spatial da ases
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 . Sales Online. definition of aggregate query processing
Predicted Range Aggregate Processing in Spatio
Predicted Range Aggregate Processing in Spatiotemporal Databases . By Wei Liao, Guifen Tang, Ning Jing and Zhinong Zhong. Abstract. Predicted range aggregate (PRA) query is an important researching issue in spatiotemporal databases. Recent studies have developed two major classes of PRA query methods: (1) accurate approaches, which search the common moving objects indexes to
CiteSeerX — Predicted Range Aggregate Processing in
CiteSeerX Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Predicted range aggregate (PRA) query is an important researching issue in spatiotemporal databases. Recent studies have developed two major classes of PRA query methods: (1) accurate approaches, which search the common moving objects indexes to obtain an accurate result; and (2) estimate methods, which utilize
Efficient Maximum Range Search on Remote Spatial
01/01/2013· Supporting aggregate range queries on remote spatial databases suffers from 1) huge and/or large numbers of databases, and 2) limited type of access interfaces. This paper applies the Regular Polygon based Search Algorithm RPSA) to effectively addressing these problems. This algorithm requests a series of kNN queries to obtain approximate aggregate range query results. The query
Indexing range sum queries in spatiotemporal databases
01/04/2007· The Rtree is known to be one of the most popular index structures to efficiently process window queries in spatial databases. Intuitively, the aggregate Rtree (aRtree),improves the Rtree’s performance in range sum queries by storing, in each intermediate entry, preaggregated sums of the objects in the subtree. Fig. 1 shows an example of an aRtree.
A Scalable Algorithm for Maximizing Range Sum in Spatial
require managing and processing a large amount of location information, and technologies studied in spatial databases are getting a great deal of attention for this purpose. Traditional researches in spatial databases, however, have mostly focused on retrieving objects (e.g., range search,nearest neighbor search,etc.), rather than nding the best location to optimize a certain objective
Efficient Maximum Range Search on Remote Spatial
01/01/2013· Supporting aggregate range queries on remote spatial databases suffers from 1) huge and/or large numbers of databases, and 2) limited type of access interfaces. This paper applies the Regular Polygon based Search Algorithm RPSA) to effectively addressing these problems. This algorithm requests a series of kNN queries to obtain approximate aggregate range query results. The query
Efficient Maximum Range Search on Remote Spatial Databases
processing either kANN queries or aggregate range queries on remote spatial databases. In other words, a new strategy for eﬃciently processing these queries is required. This paper applies Regular Polygon based Search Algorithm (RPSA)toeﬃciently searching approximate aggregate range query results. Assuming kNearest Neighbor (kNN) queries [5],[6] are Web API interfaces available for
A Scalable Algorithm for Maximizing Range Sum in Spatial
require managing and processing a large amount of location information, and technologies studied in spatial databases are getting a great deal of attention for this purpose. Traditional researches in spatial databases, however, have mostly focused on retrieving objects (e.g., range search,nearest neighbor search,etc.), rather than nding the best location to optimize a certain objective
Approximate range query processing in spatial network
Approximate range query processing in spatial network databases Haidar AlKhalidi, Zainab Abbas, Maytham Hassan Safar Research output : Contribution to journal › Article › Research › peerreview
Predicted Range Aggregate Processing In Spatio
range aggregate processing spatial databases. 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 hyperrectangle (e.g., the total number of these points instead of their concrete ids). definition of aggregate query processing . aggregate query processing definition
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 search in network distance
also aggregate data for query processing and the size of
Range Aggregate Processing in Spatial Databases Department of We also present models that accurately predict the space consumption and query cost of the Index Terms—Database, spatial database, range queries, aggregation. ж . degrades as the query size increases and eventually reaches. OррN=
Aggregate nearest neighbor queries in spatial databases
Given two spatial datasets P (e.g., facilities) and Q (queries), an aggregate nearest neighbor (ANN) query retrieves the point(s) of P with the smallest aggregate distance(s) to points in Q.Assuming, for example, n users at locations q 1,q n, an ANN query outputs the facility p ∈ P that minimizes the sum of distances pq i for 1 ≤ i ≤ n that the users have to travel in order to meet
Aggregate Analytic Window Query over Spatial Data
dimensions, so the spatial aggregate analytic query is not easily supported. The spatial aggregate analytic query is meaningful and practical in the data analysis and visualization of spatial data. For example, show the total number of visits of POIs (pointofinterest) in each range (each range is defined by a fixed radius, and the centre of the range circle is each POI). In this paper, we
Spatial database Wikipedia
A spatial database is a database that is optimized for storing and querying data that represents objects defined in a geometric space. Most spatial databases allow the representation of simple geometric objects such as points, lines and polygons. Some spatial databases handle more complex structures such as 3D objects, topological coverages, linear networks, and TINs.