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aggregate query processing

Aggregate-Query Processing in Data Warehousing

2006-7-29  Aggregate-Query Processing in Data Warehousing Environments* Ashish Gupta Venky Harinarayan Dallan Quass IBM Almaden Research Center Abstract In this paper we introduce generalized pro- jections (GPs), an extension of duplicate- eliminating projections, that capture aggre- gations, groupbys, duplicate-eliminating pro-

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Aggregate query processing in data warehouses 百度学术

Aggregate query processing in data warehouses 来自 ResearchGate 喜欢 0 阅读量: 5 作者: A Gupta,V Harinarayan,D Quass 展开 摘要: Publication » Aggregate query processing

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Aggregate Query Processing on Incomplete Data

2018-7-19  In this paper, we propose to directly estimate the aggregate query result on incomplete data, rather than imputing the missing values. An interval estimation, composed of the upper and lower bound of aggregate query results among all possible interpretation of

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Aggregate-Query Processing in Data Warehousing

Aggregate-Query Processing in Data Warehousing Environments. Pages 358–369. Previous Chapter Next Chapter. ABSTRACT. No abstract available. References {CS94} Surajit Chaudhuri, Kyuseok Shim: Including Group-By in Query Optimization. VLDB 1994: 354-366. Google

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Aggregate query processing in the presence of duplicates

2015-3-10  Since the processing of a tumbling window query is the same as multiple invocations of a single window aggregate query, we assume 0 < ℓ < w without loss of generality in the rest of paper. To make our presentation simpler, we also assume that Q w is invoked at timestamp 1 in this section.

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Optimizing Aggregate Query Processing in Cloud Data

2014-9-2  2014-9-2  Existing aggregate query processing algorithms focus on optimizing various query operations but give less importance to communication cost overhead (Two-phase algorithm). However, in cloud architectures, the communication cost overhead is an important factor in query processing.

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Ad-hoc aggregate query processing algorithms based on

2013-9-1  2013-9-1  3. Algorithms for Ad-hoc aggregate query processing. In a bit-store query intensive cloud system, the attributes of a table are encoded according to attribute encoding schemes described in Section 2 and the table is transformed into a set of bit-vectors, in which the bits with the same position are kept in a separate bit file by DWACR. Therefore, new algorithms are required to process ad-hoc

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Robust and Efficient Aggregate Query Processing in

2008-5-8  Query processing on continuous aggregates. In this work, we assume sensor nodes have been organized into a spanning tree and each sensor will generate a sensing value in each round (a short time period). After the creation of a network topology, users can pose a continuous aggregate query, such as AVG, to the network.

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Processing complex aggregate queries over data streams

2002-6-3  Processing complex aggregate queries over data streams. Pages 61–72. K. Chakrabarti, M. Garofalakis, R. Rastogi, and K. Shim. "Approximate Query Processing Using Wavelets". In Proc. of the 26th Intl. Conf. on Very Large Data Bases, September 2000. Google Scholar Digital Library; S. Chaudhuri and U. Dayal. "An Overview of Data Warehousing

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On Efficient Aggregate Nearest Neighbor Query

2015-2-1  An aggregate nearest neighbor (ANN) query returns a point of interest (POI) that minimizes an aggregate function for multiple query points. In this paper, we propose an efficient approach to tackle ANN queries in road networks. Our approach consists of two phases: searching phase and pruning phase. In particular, we first continuously compute

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Aggregate-Query Processing in Data Warehousing

Aggregate-Query Processing in Data Warehousing Environments Gupta, A. and Harinarayan, V. and Quass, D. (1995) Aggregate-Query Processing in Data Warehousing Environments. In: 21th International Conference on Very Large Data Bases (VLDB 1995), September 11-15, 1995, Zurich, Switzerland.

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(PDF) Aggregate Query Processing using Random walk

[Ganwani, 2(5): May, 2013] ISSN: 2277-9655 IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY Aggregate Query Processing using Random walk approach in Dynamic Environment Vinod S. Gangwani*1, Prof. P. L. Ramteke2 *1 Department of Computer Science & Engineering H.V.P.M’s COET, SGBAU, Amravati (MH), India 2 Department of Information

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Optimizing Aggregate Query Processing in Cloud Data

2017-7-8  aggregate query processing algorithms focus on optimizing various query operations but give less importance to communication cost overhead (Two-phase algorithm). However, in cloud architectures, the communi-cation cost overhead is an important factor in query processing. Thus, we consider communication overhead to improve the distributed query pro-

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Ad-hoc aggregate query processing algorithms based on

2013-9-1  3. Algorithms for Ad-hoc aggregate query processing. In a bit-store query intensive cloud system, the attributes of a table are encoded according to attribute encoding schemes described in Section 2 and the table is transformed into a set of bit-vectors, in which the bits with the same position are kept in a separate bit file by DWACR. Therefore, new algorithms are required to process ad-hoc

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SAMPLING BASED JOIN-AGGREGATE QUERY

Approximate aggregate query processing techniques presented in [1,2] provide approximate results to a simple non-join aggregate query as depicted in Query 1, for Big Data queries.

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Interplay of processing and routing in aggregate query

2015-10-5  The potential advantages of carefully selecting a routing and processing plan for exe-cuting aggregate queries are shown in the following examples. Figure 1 shows an ex-ample of processing a single aggregate query, which asks for the sum of all readings in the dotted rectangular area. Notice that a total number of 15 messages are sent along

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Probabilistic Threshold Range Aggregate Query

2009-2-13  Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data Shuxiang Yang∗, Wenjie Zhang+, Ying Zhang∗, and Xuemin Lin+ ∗The University of New South Wales, Australia + The University of New South Wales & NICTA, Australia

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Processing complex aggregate queries over data streams

2002-6-3  Processing complex aggregate queries over data streams. Pages 61–72. K. Chakrabarti, M. Garofalakis, R. Rastogi, and K. Shim. "Approximate Query Processing Using Wavelets". In Proc. of the 26th Intl. Conf. on Very Large Data Bases, September 2000. Google Scholar Digital Library; S. Chaudhuri and U. Dayal. "An Overview of Data Warehousing

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Efficient Ranking and Aggregate Query Processing in

2014-1-14  Efficient Ranking and Aggregate Query Processing in Probabilistic Databases. Princial Investigator: Feifei Li, supported by the IIS program from NSF, award #0916448 (while at FSU), #1212310 (after transering to Utah), NSF link 1, NSF link 2. Students: Jeffrey Jestes, Chi Zhang, Mingwang Tang, Justin DeBrabant [] [Papers and Talks] [Source Code] [] [Related sites for

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Voronoi-based aggregate nearest neighbor query

Aggregate nearest neighbor (ANN) query returns a common interesting data object that minimizes an aggregate distance for multiple query points. In this paper, we propose a novel approach to efficiently process ANN queries in road networks.

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Aggregate-Query Processing in Data Warehousing

Aggregate-Query Processing in Data Warehousing Environments Gupta, A. and Harinarayan, V. and Quass, D. (1995) Aggregate-Query Processing in Data Warehousing Environments. In: 21th International Conference on Very Large Data Bases (VLDB 1995), September 11-15, 1995, Zurich, Switzerland.

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definition of aggregate query processing

Aggregate-Query Processing in Data Warehousing Environments view definition.Figure 3 is obtained. Using our algorithm for an- swering aggregate queries using materialized aggregate views (see Section 5), we can now

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Aggregate query processing in the presence of duplicates

For such environments, an efficient aggregate query processing technique in WSNs was proposed in [7]. By using the identifier of each object, duplicates can be easily and accurately identified

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CiteSeerX — Aggregate-Query Processing in Data

aggregate-query processing data warehousing environment aggregate query duplicate-eliminating projection powerful query rewrite rule aggregate view rewrite rule base table simple algorithm sql query common unified framework generalized projection important problem data warehousing duplicate-preserving projection summary table distinct

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Probabilistic Threshold Range Aggregate Query

2009-2-13  Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data Shuxiang Yang∗, Wenjie Zhang+, Ying Zhang∗, and Xuemin Lin+ ∗The University of New South Wales, Australia + The University of New South Wales & NICTA, Australia

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SAMPLING BASED JOIN-AGGREGATE QUERY

2020-10-31  Approximate aggregate query processing techniques presented in [1,2] provide approximate results to a simple non-join aggregate query as depicted in Query 1, for Big Data queries. Here, aggregate() denotes the aggregate function such as: Sum, Average, Variance, Standard Deviation etc. Additionally, individual selection predicates

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Interplay of processing and routing in aggregate query

2015-10-5  The potential advantages of carefully selecting a routing and processing plan for exe-cuting aggregate queries are shown in the following examples. Figure 1 shows an ex-ample of processing a single aggregate query, which asks for the sum of all readings in the dotted rectangular area. Notice that a total number of 15 messages are sent along

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Efficient Ranking and Aggregate Query Processing in

2014-1-14  Efficient Ranking and Aggregate Query Processing in Probabilistic Databases. Princial Investigator: Feifei Li, supported by the IIS program from NSF, award #0916448 (while at FSU), #1212310 (after transering to Utah), NSF link 1, NSF link 2. Students: Jeffrey Jestes, Chi Zhang, Mingwang Tang, Justin DeBrabant [] [Papers and Talks] [Source Code] [] [Related sites for

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Clustering spatial networks for aggregate query

2021-3-22  made by the aggregate network operations during query processing. For this purpose, different techniques based on the clustering graph model are proposed in the literature. In this work, we show that the state-of-the-art clustering graph model is not able to correctly capture the disk access costs of aggregate network operations.

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aggregate query processing meaning

definition of aggregate query processing dimeko aggregate query processing definition optimizing aggregate queries in cache request regionbased query processing in sensor networks the processing of grouped aggregate queries however since a region in our approach is defined as a inside a circle having a diameter d by definition 1 .

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