Results 181 to 190 of about 6,747 (225)
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Relational extensions for OLAP
IBM Systems Journal, 2002Enterprises have been storing multidimensional data, using a star or snowflake schema, in relational databases for many years. Over time, relational database vendors have added optimizations that enhance query performance on these schemas. During the 1990s many special-purpose databases were developed that could handle added calculational complexity ...
Nathan G. Colossi +2 more
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OLAP and bibliographic databases
Scientometrics, 2003The application of online analytical processing (OLAP) technology to bibliographic databases is addressed. We show that OLAP tools can be used by librarians for periodic and ad hoc reporting, quality assurance, and data integrity checking, as well as by research policy makers for monitoring the development of science and evaluating or comparing ...
Emil Hudomalj, Gaj Vidmar
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Detecting summarizability in OLAP
Data & Knowledge Engineering, 2014The industry trend towards self-service business intelligence is impeded by the absence, in commercially-available information systems, of automated identification of potential issues with summarization operations. Research on statistical databases and on data warehouses have both produced widely-accepted categorisations of measure attributes, the ...
Tapio Niemi +3 more
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Privacy Preserving OLAP and OLAP Security
2009The problem of ensuring the privacy and security of OLAP data cubes (Gray et al., 1997) arises in several fields ranging from advanced Data Warehousing (DW) and Business Intelligence (BI) systems to sophisticated Data Mining (DM) tools. In DW and BI systems, decision making analysts aim at avoiding that malicious users access perceptive ranges of ...
CUZZOCREA A, V. RUSSO
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Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems - PODS '02, 2002
In multidimensional data models intended for online analytic processing (OLAP), data are viewed as points in a multidimensional space. Each dimension has structure, described by a directed graph of categories, a set of members for each category, and a child/parent relation between members.
Carlos A. Hurtado, Alberto O. Mendelzon
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In multidimensional data models intended for online analytic processing (OLAP), data are viewed as points in a multidimensional space. Each dimension has structure, described by a directed graph of categories, a set of members for each category, and a child/parent relation between members.
Carlos A. Hurtado, Alberto O. Mendelzon
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Proceedings of the ACM tenth international workshop on Data warehousing and OLAP, 2007
Expressing preferences when querying databases is a natural way to avoid empty results and information flooding, and in general to rank results so that the user may first see the data that better match his tastes. In this paper we outline the main research issues to be faced in order to develop a system for handling user preferences on OLAP cubes.
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Expressing preferences when querying databases is a natural way to avoid empty results and information flooding, and in general to rank results so that the user may first see the data that better match his tastes. In this paper we outline the main research issues to be faced in order to develop a system for handling user preferences on OLAP cubes.
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2019
The expansion of IoT devices and monitoring needs, powered by the capabilities and accessibility of Cloud Computing, has led to an explosion of streaming data and exposed the need for every organization to exploit it. This paper reviews the evolution of Data Stream Management Systems (DSMS) and the convergence into Online Analytical Processing (OLAP ...
Carlos Garcia-Alvarado +3 more
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The expansion of IoT devices and monitoring needs, powered by the capabilities and accessibility of Cloud Computing, has led to an explosion of streaming data and exposed the need for every organization to exploit it. This paper reviews the evolution of Data Stream Management Systems (DSMS) and the convergence into Online Analytical Processing (OLAP ...
Carlos Garcia-Alvarado +3 more
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Proceedings of the ACM 11th international workshop on Data warehousing and OLAP, 2008
Since the early 1990s, On-Line Analytical Processing (OLAP) has been a well studied research topic that has focused on implementation outside the database, either with OLAP servers or entirely within the client computers. Our approach involves the computation and storage of OLAP cubes using User-Defined Functions (UDF) with a database management system.
Zhibo Chen 0002, Carlos Ordonez 0001
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Since the early 1990s, On-Line Analytical Processing (OLAP) has been a well studied research topic that has focused on implementation outside the database, either with OLAP servers or entirely within the client computers. Our approach involves the computation and storage of OLAP cubes using User-Defined Functions (UDF) with a database management system.
Zhibo Chen 0002, Carlos Ordonez 0001
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Ontologies and summarizability in OLAP
Proceedings of the 2010 ACM Symposium on Applied Computing, 2010Summarizability, i.e. the correctness of aggregation operations, is essential for OLAP analysis. Summarizability has commonly been studied in the context of dimension hierarchies, but the role of semantics of measure attributes and aggregation functions (sum, avg, min, max, count) has received less research interest.
Tapio Niemi, Marko Niinimäki
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Database and Expert Systems Applications. 8th International Conference, DEXA '97. Proceedings, 2002
A data warehouse collects and integrates data from multiple, autonomous, heterogeneous sources with the purpose of efficiently implementing decision support or OLAP queries. Much working data warehousing has been performed on view materialization and data integration, we focus on access and security management in OLAP and N-dimensional cube. Since data
Remzi Kirkgöze +3 more
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A data warehouse collects and integrates data from multiple, autonomous, heterogeneous sources with the purpose of efficiently implementing decision support or OLAP queries. Much working data warehousing has been performed on view materialization and data integration, we focus on access and security management in OLAP and N-dimensional cube. Since data
Remzi Kirkgöze +3 more
openaire +1 more source