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range aggregate processing in spatial databases

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  • (PDF) Range aggregate processing in spatial databases

    Range aggregate processing in spatial databases Article (PDF Available) in IEEE Transactions on Knowledge and Data Engineering 16(12):1555- 1570 · January

  • CiteSeerX — Range Aggregate Processing in 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 point-tree total number concrete id popular multiversion structural framework two-dimensional data extensive experiment small modification index term

  • range aggregate processing spatial databases

    E.1 Data structures; H.2.8 Spa-tial databases and GIS General Terms Algorithms Keywords aggregate query, spatial histogram, hierarchical data structure 1. INTRODUCTION This paper addresses the problem of processing a variant of range queries in spatial databases for vehicle trajectories. More specifi-Get Price

  • 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).

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  • 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 studies spatial indexes that solve such queries efficiently and proposes the aggregate Point-tree (aP-tree),

  • 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

  • Range Aggregate Processing Spatial Databases Crushing

    Aggregate Crushing Plant South Africa Stone Crushing Plant Pakistan Sand Production Line 50-70t/h Gold Ore Crushing Production Line in Malaysia 5000t/h Copper Ore Crushing Production Project in Kenya 500t/h Iron Ore Crushing Production line in South Africa 250t/h Granite Crushing Production Line in Zambia 100t/h Complete Limestone Crushing Production Line in Oman 70-180t/h Cone Crusher for

  • range aggregate processing spatial databases

    Clustering spatial networks for aggregate query processing: A made by the aggregate network operations during query processing. For this purpose . databases, but generally the nearest neighbor, range search, spatial join, and closest spatial databases as

  • A Scalable Algorithm for Maximizing Range Sum in Spatial

    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

  • 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. Tradi-tional researches in spatial databases, however, have mostly focused on retrieving objects (e.g., range search, nearest

  • 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. Tradi-tional researches in spatial databases, however, have mostly focused on retrieving objects (e.g., range search, nearest

  • range aggregate processing in spatial da ases

    range aggregate processing spatial databases. an existing NoSQL database ''MongoDB'' with its inbuilt spatial functions with that of a SQL database with spatial extension ''PostGIS'' for two problems spatial and aggregate queries, across a range of datasets, with varying features counts.

  • CiteSeerX — 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,

  • Supporting Spatial Aggregation in Sensor Network

    Supporting Spatial Aggregation in Sensor Network of two different approaches to distributed spatial aggregate processing. proaches for aggregate processing in database systems, these works focus on efficient processing of the traditional aggre-gate operators. Literature on spatial databases also mainly

  • Probabilistic Threshold Range Aggregate Query Processing

    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.

  • 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

  • Range-aggregate query problems involving geometric

    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 intersected by q

  • Approximately processing aggregate range queries on remote

    Jan 01, 2013· 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.

  • probabilistic thresholdrange aggregate query processing

    range aggregate processing in spatial da ases. 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).

  • Efficient Maximum Range Search on Remote Spatial Databases

    A typical scenario is one of searching for the POI nearest to the address given as a query point through a Web API interface. Unfortunately, Web API interfaces are not supported for processing either k-ANN queries or aggregate range queries on remote spatial databases.

  • Maximizing Range Sum in Spatial Databases SpringerLink

    Let O be a set of objects (a.k.a. points) in 2D space ℝ 2, where ℝ represents the real domain. Each object o ∈ O is associated with a positive value w( o) as its weight.Given non-negative values d 1 and d 2, the goal of the maximizing range sum (MaxRS) problem is to place a d 1 × d 2 rectangle r in ℝ 2 to maximize the covered weight of r, defined as:

  • Analyzing the performance of NoSQL vs. SQL databases for

    an existing NoSQL database ’MongoDB’ with its inbuilt spatial functions with that of a SQL database with spatial extension ’PostGIS’ for two problems spatial and aggregate queries, across a range of datasets, with varying features counts. All the data in the analysis was processed In-memory and no secondary memory was used.

  • Privacy-aware collection of aggregate spatial data Data

    Search ACM Digital Library. Search. Advanced Search

  • 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.

  • Processing Geospatial Data at Scale With Databricks

    In an upcoming blog, we will take a deep dive into more advanced topics for geospatial processing at-scale with Databricks. You will find additional details about the spatial formats and highlighted frameworks by reviewing Data Prep Notebook, GeoMesa + H3 Notebook, GeoSpark Notebook, GeoPandas Notebook, and Rasterframes Notebook.

  • Approximate range query processing in spatial network

    Jul 20, 2012· 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).

  • Analyzing the performance of NoSQL vs. SQL databases for

    an existing NoSQL database ’MongoDB’ with its inbuilt spatial functions with that of a SQL database with spatial extension ’PostGIS’ for two problems spatial and aggregate queries, across a range of datasets, with varying features counts. All the data in the analysis was processed In-memory and no secondary memory was used.

  • range aggregate processing in spatial da ases

    range aggregate processing spatial databases. Range Aggregate Processing in Spatial Databases Yufei Tao and Dimitris Paas 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).

  • Efficient Maximum Range Search on Remote Spatial

    processing either k-ANN 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

  • Spatial aggregation: Data model and implementation

    Data aggregation in Geographic Information Systems (GIS) is a desirable feature, only marginally present in commercial systems nowadays, mostly through ad hoc solutions. We address this problem introducing a formal model that integrates, in a natural way, geographic data and non-spatial information contained in a data warehouse external to the GIS.

  • 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.

  • Algorithms for Fundamental Spatial Aggregate Operations

    Algorithms for Fundamental Spatial Aggregate Operations Over Regions Mark McKenney & Brian Olsen Southern Illinois University Edwardsville Department of Computer Science Edwardsville, IL USA {marmcke, bolsen}@siue.edu ABSTRACT Aggregate operators are a useful class of operators in rela-tional databases. In this paper, we examine spatial aggre-

  • probabilistic thresholdrange aggregate query processing

    range aggregate processing in spatial da ases. 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).

  • Aggregate Keyword Routing in Spatial Database

    Aggregate Keyword Routing in Spatial Database Kunjie Chen Fudan University Shanghai, China [email protected] Weiwei Sun Query Processing, Spatial Keyword Query 1. INTRODUCTION to perform an ellipse range query de ned by the query point,

  • Privacy-aware collection of aggregate spatial data Data

    Search ACM Digital Library. Search. Advanced Search

  • Spatial Databases Semantic Scholar

    Spatial Databases 1.1 Introduction 1.1.1 Spatial Database Spatial database management systems [43, 58, 120, 119, 97, 74] aim at the effective and efficient management 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

  • Aggregation of Data by Using Top -K Spatial Query

    Aggregation of Data by Using Top -K Spatial Query Preferences Hanaa Mohsin Ali Al-Abboodi College of Engineering,University of Babylon,Iraq *Email:[email protected] Abstract: A spatial database is a database that is optimized to store and query data that represents objects defined in a geometric space.

  • Materialized views for count aggregates of spatial data

    / Materialized views for count aggregates of spatial data. Advances in Databases and Information Systems 16th East European Conference, ADBIS 2012, Proceedings. 2012. pp. 427-440 (Lecture Notes in Computer Science (including subseries Lecture Notes

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