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  • Search: subject:"Materialized View"
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Year of publication
Subject
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Data Warehouse 3 Materialized View Selection 3 Decision Making 2 Swarm Intelligence 2 Analytical Queries 1 Artificial Bee Colony Optimization 1 BIPF 1 Bumble Bee Mating Optimization 1 Business Information Systems 1 Business and Economics 1 Control 1 Decision Support System 1 Economics / Management Science 1 Engineering 1 Greedy Algorithms 1 Industrial and Operations Engineering 1 Management 1 Management of Computing and Information Systems 1 Materialized View 1 Mathematics 1 OLAP 1 Operation Research/Decision Theory 1 Pareto distribution 1 Particle Swarm Optimization 1 Science 1 Systems Theory 1 View Selection 1 Warehouse 1 data reduction 1 materialized view management 1 materialized view selection 1 query approximation 1 view size estimation 1
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Online availability
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Undetermined 5 Free 1
Type of publication
All
Article 5 Other 1
Language
All
English 5 Undetermined 1
Author
All
Kumar, T.V. Vijay 4 Arun, Biri 2 Haider, Mohammad 1 Jones, Douglas 1 Kumar, Amit 1 Mediavilla, Francis Mendez 1 Nadeau, Thomas P. 1
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Published in...
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International Journal of Business Analytics (IJBAN) 1 International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 1 International Journal of Decision Support System Technology (IJDSST) 1 International Journal of Intelligent Information Technologies (IJIIT) 1 Journal of Applied Statistics 1
Source
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Other ZBW resources 4 BASE 1 RePEc 1
Showing 1 - 6 of 6
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Materialized View Selection Using Set Based Particle Swarm Optimization
Kumar, T.V. Vijay; Kumar, Amit - In: International Journal of Cognitive Informatics and … 12 (2018) 3, pp. 18-39
A data warehouse is a central repository of historical data designed primarily to support analytical processing. These analytical queries are exploratory, long and complex in nature. Further, the rapid and continuous growth in the size of data warehouse increases the response times of such...
Persistent link: https://www.econbiz.de/10012043710
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Cover Image
Query Frequency based View Selection
Kumar, T.V. Vijay; Haider, Mohammad - In: International Journal of Business Analytics (IJBAN) 4 (2017) 1, pp. 36-55
View selection deals with the selection of appropriate sets of views capable of improving the response times for queries while conforming to space constraints. Materializing all views is infeasible, as the number of possible views is exponential with respect to the number of dimensions and,...
Persistent link: https://www.econbiz.de/10012043179
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Materialized View Selection Using Bumble Bee Mating Optimization
Kumar, T.V. Vijay; Arun, Biri - In: International Journal of Decision Support System … 9 (2017) 3, pp. 1-27
Decision support systems (DSS) constitute one of the most crucial components of almost every corporation's information system. Data warehouse provides the DSS with massive volumes of quality corporate data for analysis. On account of the volume of corporate data, its processing time of on-line...
Persistent link: https://www.econbiz.de/10012044132
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Materialized View Selection using Artificial Bee Colony Optimization
Arun, Biri; Kumar, T.V. Vijay - In: International Journal of Intelligent Information … 13 (2017) 1, pp. 26-49
analytical query processing (OLAP) could substantially minimize delays in query response time. Materialized view is an efficient …
Persistent link: https://www.econbiz.de/10012045499
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A Pareto Model for OLAP View Size Estimation
Nadeau, Thomas P. - 2003
On-Line Analytical Processing (OLAP) aims at gaining useful information quickly from large amounts of data residing in a data warehouse. To improve the quickness of response to queries, pre-aggregation is a useful strategy. However, it is usually impossible to pre-aggregate along all...
Persistent link: https://www.econbiz.de/10009477214
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A Bayesian method for query approximation
Jones, Douglas; Mediavilla, Francis Mendez - In: Journal of Applied Statistics 37 (2010) 10, pp. 1703-1715
in exchange for a quicker response. An approach to supporting aggregate materialized view management is proposed that …
Persistent link: https://www.econbiz.de/10008674961
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