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range aggregate processing spatial databases

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 hyper-rectangle (e.g., the total number of these points instead of their concrete ids).

(PDF) Range aggregate processing in spatial databases

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

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 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 proposes the aggregate Point-tree (aP-tree), which achieves

range aggregate processing spatial databases

range aggregate processing spatial databases. Our business covers more than 100 countries and regions around the world, many famous companies choose us, we have won praises from customers with products and services. Range Aggregate Processing in Spatial Databases.

range aggregate processing spatial databases

books about aggregate processing jillscityspanl. Range aggregate processing in spatial databases IEEE,A range aggregate query returns summarized information about the points falling in a hyper-rectangle (eg, the total number of these points instead of the Live Chat; Relationship Between Aggregate and Average Balances .

Predicted Range Aggregate Processing in Spatio

CiteSeerX Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Predicted range aggregate (PRA) query is an important researching issue in spatio-temporal 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

range aggregate processing spatial databases

range aggregate processing in spatial databases. Approximately processing aggregate range Read "Approximately processing aggregate range queries on remote spatial databases, International Journal of Knowledge and Web Intelligence" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications

A Scalable Algorithm for Maximizing Range Sum in

2017-6-30 · 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 sum-marized information about objects in a given range rather than individual objects. Thus, a RA query returns an ag-gregation value over objects qualified for a given range. In

predicted range aggregate processing in spatio

Predicted range aggregate processing in spatio-temporal. Predicted Range Aggregate Processing in Spatio-temporal Databases Wei Liao, Guifen Tang, Ning Jing, Zhinong Zhong School of Electronic Science and Engineering, National University of Defense Technology Changsha, China [email protected] Abstract Predicted range aggregate (PRA) query is an important researching issue in spatio-temporal

A Scalable Algorithm for Maximizing Range Sum in

A Scalable Algorithm for Maximizing Range Sum. W e first review the range aggregate processing methods. in spatial databases. The range aggregate (RA) query was

range aggregate processing spatial databases

range aggregate processing in spatial databases. Approximately processing aggregate range Read "Approximately processing aggregate range queries on remote spatial databases, International Journal of Knowledge and Web Intelligence" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA

2005-3-25 · 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

A Scalable Algorithm for Maximizing Range Sum in

2017-6-30 · 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 sum-marized information about objects in a given range rather than individual objects. Thus, a RA query returns an ag-gregation value over objects qualified for a given range. In

A Scalable Algorithm for Maximizing Range Sum in

A Scalable Algorithm for Maximizing Range Sum in Spatial Databases Dong­Wan Choi 1 Chin­Wan Chung 1 ;2 Yufei Tao 2 ;3 1 Department of Computer Science, KAIST, Daejeon, Korea 2 Division of Web

Predicted range aggregate processing in spatio-temporal

2006-7-31 · Predicted Range Aggregate Processing in Spatio-temporal Databases Wei Liao, Guifen Tang, Ning Jing, Zhinong Zhong School of Electronic Science and Engineering, National University of Defense Technology Changsha, China [email protected] Abstract Predicted range aggregate (PRA) query is an important researching issue in spatio-temporal

Probabilistic Threshold Range Aggregate Query

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.

Supporting Spatial Aggregation in Sensor Network

2016-5-21 · network. Our spatial aggregate operators are compatible with the aggregate processing of TAG and easily portable to TinyDB. Zhao et al. in [9] introduce an architecture for sensor network monitoring. Their architecture benefits from an energy-efficient aggregate processing for network properties (digest functions). An average query is computed

Range aggregate processing in spatial databases CORE

Range aggregate processing in spatial databases . By Y Tao and D 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 proposes

Implementation of the parallel GroupBy and Aggregation

Implementation of the parallel GroupBy and Aggregation functions in a distributed database system XU Shi-lei, WEI Xing, JIANG Hong, QIAN Wei-ning, ZHOU Ao-ying School

Range Aggregate Processing in Spatial Databases

Range Aggregate Processing in Spatial Databases . By Yufei Tao and Dimitris Papadias. Abstract. 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

Range aggregate processing in spatial databases CORE

Range aggregate processing in spatial databases . By Y Tao and D 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 proposes

Range Aggregate Processing in Spatial Databases

Range Aggregate Processing in Spatial Databases . By Yufei Tao and Dimitris Papadias. Abstract. 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

Approximately processing aggregate range queries

Read "Approximately processing aggregate range queries on remote spatial databases, International Journal of Knowledge and Web Intelligence" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.

Indexing range sum queries in spatio-temporal databases

2015-11-26 · Indexing range sum queries in spatio-temporal databases Hyung-Ju Cho, Chin-Wan Chung * there has been little work on processing range sum which is an aggregate spatial or spatio-temporal structure managing region extents and (ii) numerous measure index-

Indexing range sum queries in spatio-temporal

The R-tree is known to be one of the most popular index structures to efficiently process window queries in spatial databases. Intuitively, the aggregate R-tree (aR-tree),improves the R-tree’s performance in range sum queries by storing, in each intermediate entry, pre-aggregated sums of the objects in the subtree. Fig. 1 shows an example of an aR-tree.

Publications of Dimitris Papadias cs.ust.hk

2018-10-4 · Tao, Y., Papadias, D. Range Aggregate Processing in Spatial Databases. IEEE Transactions on Knowledge and Data Engineering (TKDE), 16(12), 1555-1570, 2004.. D. Range Queries Involving Spatial Relations: A Performance Analysis. Proceedings of the 2 nd European Conference on Spatial Information Theory (COSIT), Semmering, Austria.

Authenticated Index Structures for Outsourced

Tao, Y., Papadias, D.: Range aggregate processing in spatial databases. IEEE Transactions on Knowledge and Data Engineering (TKDE) 16 (12) (2004) 1555–1570 CrossRef Google Scholar 37.

Distance Browsing in Spatial Databases:(距离浏览在空间

2017-7-24 · The incremental approach finds use when processing complex queries where one of the conditions involves spatial proximity distance browsing, ranking, nearest

Knowledge Discovery in Spatial Databases Progress and

2011-9-14 · Knowledge Discovery in Spatial Databases Progress and Challenges Junas Adhikary School of Computing Science Simon Fraser University Burnaby, B.C

Spatial database Wikipedia

2019-8-6 · 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.

Maximizing Range Sum in Spatial Databases

Maximizing Range Sum in Spatial Databases, Fig. 4 An easy scenario to illustrate the intuition of slab-files Based on this idea, it is further observed that the horizontal boundaries of the densest region of a slab are laid on the horizontal lines extended from the bottom or

Spatial Databases pdfs.semanticscholar.org

2017-9-29 · Spatial databases have played a major role in the commercial 1. 2 CHAPTER 1. SPATIAL DATABASES spatial query processing including point, regional, range, and nearest neighbor queries; and spatial data methods using a variety of indexes such as set of aggregate shapes. Cardinality is used to quantify multi-shapes. For example, a river

Hierarchical cubes for range-sum queries (1999)

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 hyper-rectangle (e.g., the total number of these points instead of their concrete ids).

aggregate processing sets alltranshellasline.nl

2011629-parallel equality search can attain an aggregate processing speed of 82 Tbit.pixels have the capacity for the parallel manipulation of lar. 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

(PDF) Supporting spatial aggregation in sensor

Our spatial aggregate operators are compatible as the primary keys. with the aggregate processing of TAG and easily portable A set of different aggregation queries are now formally to TinyDB. definable on the the realized conceptual model of the sensor Zhao et al. in

Privacy-aware collection of aggregate spatial data

The errors can make the data unusable in many real scenarios. We propose Gaussian negative surveys. We modulate data collection based on Gaussian distribution. The collected data can be used to compute accurate spatial distribution of participants and can be used to accurately answer range aggregate

Distance Browsing in Spatial Databases:(距离浏览在空间

2017-7-24 · The incremental approach finds use when processing complex queries where one of the conditions involves spatial proximity distance browsing, ranking, nearest

definition of aggregate query processing Mine

Probabilistic Threshold Range Aggregate Query Processing CSE A range aggregate query (RA query) on certain data returns Aggregate Nearest Neighbor Queries in Road Networks Index Terms—Query processing, spatial databases, spatial databases and GIS, Online Processing of Aggregate Queries in the Cloud 29 Oct

A performance benchmark for spatiotemporal databases

2011-7-18 · This query requires the use of the spatial aggregate, closest. Spatial databases should be able to handle spatial aggregates as well as relational aggregates.

Spatial database Wikipedia

2019-8-6 · 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.