Results 31 to 40 of about 50 (50)
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Revisiting the Partial Data Cube Materialization
2011The problem of selecting views and/or indexes to materialize has been extensively studied in the context of query optimization. Traditionally, the problem is formalized as follows: given a set of queries and a budget e.g., an available memory space, find the objects to materialize (views and/or indexes) that (1) satisfy the given budget and (2 ...
Hanusse, Nicolas +2 more
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2001 International Conferences on Info-Tech and Info-Net. Proceedings (Cat. No.01EX479), 2002
This paper focuses on modeling the evolution of data for a data warehouse. Digging into the World Wide Web to find behind-the-browser information and to manage this semi-structured data are challenges, and a data warehouse is a good solution to provide an exclusive business environment for mass data storage and management.
Xiao-ling Wang, Yi-sheng Dong
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This paper focuses on modeling the evolution of data for a data warehouse. Digging into the World Wide Web to find behind-the-browser information and to manage this semi-structured data are challenges, and a data warehouse is a good solution to provide an exclusive business environment for mass data storage and management.
Xiao-ling Wang, Yi-sheng Dong
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Efficient Data Cube Materialization
2020In the field of business intelligence, we require the analysis of multidimensional data with the need for it being fast and interactive. Data warehousing and OLAP approaches have been developed for this purpose in which the data is viewed in the form of a multidimensional data cube which allows interactive analysis of the data in various levels of ...
Raghu Prashant +2 more
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Relationships in semantic data cubes
2020<p><span>Linked data is a method for publishing structured data in a way that </span>also expresses its semantics. This semantic description is implemented <span>by the use of vocabularies, which are usually specified by the W3C as web standards.
Alexandr Mansurov, Olga Majlingova
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Explanation in OLAP Data Cubes
Journal of Information Technology Research, 2014OLAP is an important technology that offers a fast and interactive data navigation, it also provides tools to explore data cubes in order to extract interesting information from a multidimensional data structures. However, the OLAP exploration is done manually, without tools that could automatically extract relevant information from the cube.
Mohammed Fakir +2 more
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Journal of Information & Knowledge Management, 2016
Online analytical processing (OLAP) provides tools to explore data cubes in order to extract the interesting information, it refers to techniques used to query, visualise and synthesise the multidimensional data. Nevertheless OLAP is limited on visualisation, structuring and exploring manually the data cubes.
Mohammed Fakir +2 more
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Online analytical processing (OLAP) provides tools to explore data cubes in order to extract the interesting information, it refers to techniques used to query, visualise and synthesise the multidimensional data. Nevertheless OLAP is limited on visualisation, structuring and exploring manually the data cubes.
Mohammed Fakir +2 more
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Parallel computation of data cubes [PDF]
, 1999 Since its proposal, data cube has attracted a great deal of attention in both academic and industry research communities. Many research papers have been published about different issues related to data cubes and many commercial OLAP (On-Line Analytical Processing) systems have been released to market with data cube operations as their core ...
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View Materialization in a Data Cube
Journal of Database Management, 2007Data warehouse has become an integral part in developing a DSS in any organization. One of the key architectural issues concerning the efficient design of a data warehouse is to determine the “right” number of views to be materialized in order to minimize the query response time experienced by the decision makers in the organization.
Agrawal, Vikas +3 more
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The Computation of Semantic Data Cube
2005The multidimensional analysis based on data cube has been growing interest. However existing data cube model usually does not have the semantics of attributes and hence the analysis usually provides results with raw numbers and ignores the real meanings of these numbers. An example result is that the total sales of PC in this year are above 2000.
Yubao Liu, Jian Yin
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Privacy preservation for data cubes
Proceedings. 20th International Conference on Data Engineering, 2004Data privacy refers to the issue of how to preserve the confidential information in individual data cells while still being able to provide an accurate estimation of the original summation values for range queries. There are three major goals in data privacy:l)Security - the data must be protected from being revealed; 2)Accuracy - results of analysis ...
S. Sung, Yao Liu, P. Ng
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