range aggregate uncertain

range aggregate uncertain

range aggregate uncertain

Uncertain Location based Range Aggregates in a multi

2009-5-30 · There are many applications for the range query operation against uncertain data. In this paper, we focus on the distance based range aggregates computation where the location of the query point is uncertain while the target data are conventional points (i.e, certain points ). In general, an “uncertain location based query”, denoted by Q, is a

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Efficient Computation of Range Aggregate Against

Corpus ID: 977600. Efficient Computation of Range Aggregate Against Uncertain Location-Based Queries @inproceedings{Ahmedullahkhan2015EfficientCO, title={Efficient Computation of Range Aggregate Against Uncertain Location-Based Queries}, author={Ahmed-ullah

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1244 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA

2013-5-9 · based range aggregates over certain data points and uncertain query points as described in the abstract. In general, an uncertain query Q is a multidimensional point that might appear at any location x following a probabilistic density function pdfðxÞwithin a region Q:region. There is a number of applications where a query point may be uncertain.

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Efficient Computation of Range Aggregates against

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.

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Efficient Compution of Range Aggregates Against

2012-8-30 · Efficient Compution of Range Aggregates Against Uncertain Location Based Queries written by D.John Sujay published on 2012/08/30 download full article with reference data and citations

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CiteSeerX — Uncertain Location based Range

Recently, considerable research efforts have been put into the field of analysing uncertain data. In this paper, we study the problem of processing the uncertain location based range aggregate in a multi-dimensional space. We first formally introduce the problem, then propose a general filtering-and-verification framework to solve the problem.

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Figure 11 from Efficient Computation of Range

DOI: 10.1109/TKDE.2011.46 Corpus ID: 504766. Efficient Computation of Range Aggregates against Uncertain Location-Based Queries @article{Zhang2012EfficientCO, title={Efficient Computation of Range Aggregates against Uncertain Location-Based Queries}, author={Ying Zhang and Xuemin Lin and Yufei Tao and Wenjie Zhang and Haixun Wang}, journal={IEEE Transactions on Knowledge and Data

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Efficient Computation of Range Aggregates against

In many applications, including location-based services, queries may not be precise. In this paper, we study the problem of efficiently computing range aggregates in a multidimensional space when the query location is uncertain.

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Probabilistic Threshold Range Aggregate Query

2009-2-13 · queries [15], clustering and Mining [10], etc. However, though range aggregate query on uncertain data is very important in practice, this problem remains unexplored. A range aggregate query (RA query) on certain data returns summarized information about objects satisfying a given query range, such as the total num-ber of qualified objects [19].

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PPT Probabilistic Threshold Range Aggregate Query

Probabilistic Threshold Range Aggregate Query Processing over Uncertain Skyline Queries [PJLY07] Range query. DBG @ UNSW. 13. Uncertain objects, exact query A free PowerPoint PPT presentation (displayed as a Flash slide show) on PowerShow id: 1594eb-ZDc1Z

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Efficient Compution of Range Aggregates Against

2019-7-1 · uncertain queries are involved. In this paper, we investigate the problem of efficiently computing distance based range aggregates over certain data points and uncertain query points as described in the abstract. In general, an uncertain query Q

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Uncertain Location Based Range Aggregates in a Multi

Home Browse by Title Proceedings ICDE '09 Uncertain Location Based Range Aggregates in a Multi-dimensional Space. Article . Uncertain Location Based Range Aggregates in a Multi-dimensional Space. Share on. Authors: Ying Zhang. View Profile, Xuemin Lin.

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Efficient Compution of Range Aggregates Against

2012-8-30 · Efficient Compution of Range Aggregates Against Uncertain Location Based Queries written by D.John Sujay published on 2012/08/30 download full article with reference data and citations

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Figure 16 from Efficient Computation of Range

DOI: 10.1109/TKDE.2011.46 Corpus ID: 504766. Efficient Computation of Range Aggregates against Uncertain Location-Based Queries @article{Zhang2012EfficientCO, title={Efficient Computation of Range Aggregates against Uncertain Location-Based Queries}, author={Ying Zhang and Xuemin Lin and Yufei Tao and Wenjie Zhang and Haixun Wang}, journal={IEEE Transactions on Knowledge and Data

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OPUS at UTS: Uncertain location based range

2020-4-22 · Uncertain location based range aggregates in a multi-dimensional space. Zhang, Y Lin, X Tao, Y Zhang, W. Permalink. Export RIS format; Publication Type: Conference Proceeding Citation: Proceedings International Conference on Data Engineering, 2009, pp. 1247 1250 Issue Date: 2009-07-08. Closed Access

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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

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PPT Probabilistic Threshold Range Aggregate Query

Probabilistic Threshold Range Aggregate Query Processing over Uncertain Skyline Queries [PJLY07] Range query. DBG @ UNSW. 13. Uncertain objects, exact query A free PowerPoint PPT presentation (displayed as a Flash slide show) on PowerShow id: 1594eb-ZDc1Z

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Range-max queries on uncertain data ScienceDirect

2018-6-1 · In this paper we study the range-max query on uncertain data, which asks for statistics on the maximum value of the data inside a query range. Formally, we consider database records of the form ( p,v,α ),where p is a point in R d (attribute values of the record) with d ≥ 1 a constant, along with a positive scalar value v ∈ R + and a

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Approximation algorithms for aggregate queries on uncertain

2020-11-3 · In this paper, the results of aggregate queries on uncertain data are defined to include all possible values and their corresponding probabilities. Dynamic programming is then used to solve the Distribution Sum (DSUM) algorithm using a Greedy-based Distribution Sum and a Binary Merge based Distribution Sum approximation algorithms, which both can be applied to tuple-level and attribute-level

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Aggregate Query Answering under Uncertain Schema

2008-11-9 · Aggregate Query Answering under Uncertain Schema Mappings Avigdor Gal #1, Maria Vanina Martinez, Gerardo I. Simari, VS Subrahmanian ∗2 #Technion Israel Institute of Technology Haifa 32000 Israel [email protected] ∗University of Maryland College Park, MD 2{mvm,gisimari,vs}@cs.umd.edu Abstract—Recent interest in managing uncertainty in data

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