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Spatial OLAP

SPATIAL OLAP QUERY ENGINE: PROCESSING AGGREGATE QUERIES ON SPATIAL OLAP DATA

SPATIAL OLAP QUERY ENGINE: PROCESSING AGGREGATE QUERIES ON SPATIAL OLAP DATA

... also spatial data. However, traditional data warehouses and OLAP systems have not been able to process spatial data very ...specialized OLAP techniques to handle spatial data ...

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Easier surveillance of climate-related health vulnerabilities through a Web-based spatial OLAP application

Easier surveillance of climate-related health vulnerabilities through a Web-based spatial OLAP application

... the Spatial OLAP (SOLAP) ...of OLAP functionalities with GIS functional- ities. For over a decade, OLAP tools have proven their worth in the BI field, but have lacked spatial ...the ...

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SOVAT: Spatial OLAP Visualization and Analysis Tool

SOVAT: Spatial OLAP Visualization and Analysis Tool

... Conclusion OLAP and GIS are still underutilized technologies in the community health ...as OLAP should be ...identify spatial relationships of public health ...combining OLAP and GIS in the ...

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Usability Evaluation of the Spatial OLAP Visualization and Analysis Tool (SOVAT)

Usability Evaluation of the Spatial OLAP Visualization and Analysis Tool (SOVAT)

... the OLAP-GIS functions for public health decision ...an OLAP-GIS system, system usability improved in relation to solving the complex public health ...

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OBAS: An OLAP Benchmark for Analysis Services

OBAS: An OLAP Benchmark for Analysis Services

... an OLAP Benchmark for Analysis Services for the performance evaluation of analysis services based on the MDX query language and performance metrics of ...of OLAP queries written in MDX; (2) it incorporates ...

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Efficient OLAP Operations in Spatial Data Warehouses

Efficient OLAP Operations in Spatial Data Warehouses

... Abstract. Spatial databases store information about the position of individual objects in ...transactional spatial databases, its computation is expensive, rendering online processing ...paradigm, ...

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OLAP Systems - Modeling User Behavior

OLAP Systems - Modeling User Behavior

... mapped to a specific implementation (e.g. MOLAP or ROLAP). This includes decisions about physical optimi- zation techniques (e.g. indexing schemes, physical clus- tering, precomputation strategies, denormalization). Com- ...

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A framework for building OLAP cubes on graphs

A framework for building OLAP cubes on graphs

... Topological OLAP aggregations consist of merging nodes and edges by navigating through the nodes ...topological OLAP analysis of graphs [ 13 ]. GraphCube [ 4 ] is a framework for OLAP cubes ...

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Enabling OLAP Analyses on the Web of Data

Enabling OLAP Analyses on the Web of Data

... objective of the framework is to enable analyses of both warehoused data and LOD by representing different components of a unified schema and relationships among data f[r] ...

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Warehousing and OLAP Analysis of Bibliographic Data

Warehousing and OLAP Analysis of Bibliographic Data

... In [1], the system Personal eLibrary bgMath is repre- sented, whose aim is different: easy manipulation with these materials (papers, dissertations, reports, etc.) and data about them, that are used repeatedly and are ...

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Processing and Preparation of OLAP data cube

Processing and Preparation of OLAP data cube

... Za uspešen uvoz podatkov smo morali podatke obdelati in pripraviti za obliko, primerno za uvoz v podatkovno skladišče, iz katerega smo kasneje izdelali OLAP- kocko za analizo podatkov. Podatke, primerne za uvoz, ...

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Semantic metadata for supporting exploratory OLAP

Semantic metadata for supporting exploratory OLAP

... analyse. OLAP er baseret på den multidimensionelle (MD) datamodel, hvor faktuelle data relateres til analytiske synsvinkler, såkaldte ...af OLAP- ...sted-dimensionen. OLAP har vist sig at være ...

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OLAP Visualization: Models, Issues, and Techniques

OLAP Visualization: Models, Issues, and Techniques

... supporting OLAP visualization of multidimensional data ...handling OLAP hierarchies of the target data cube L, the novelty of the proposed framework consists in computing a semantics-based partition of L ...

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Clustering Application for prediction in OLAP Cube

Clustering Application for prediction in OLAP Cube

... The starting point of our approach is to partition the data cube into a dense sub-cubes using a clustering method. This idea goes back to the work of compression of data cube processed in the work of R.Missaoui and ...

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Approximation of OLAP queries on data warehouses

Approximation of OLAP queries on data warehouses

... ees OLAP, nous ´ etudions comment ´ echantillonner chaque source et combiner les ´ echantillons pour rapprocher toutes requˆ etes ...etes OLAP avec une m´ emoire ...

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Decision Support, Data Warehousing, and OLAP

Decision Support, Data Warehousing, and OLAP

... • • Op Op dbs dbs designed & tuned for known designed & tuned for known txs txs & workloads. & workloads. • • Complex OLAP queries would degrade Complex OLAP queries would degrade perf perf. ...

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An Overview of Data Warehousing and OLAP Technology

An Overview of Data Warehousing and OLAP Technology

... There is more to building and maintaining a data warehouse than selecting an OLAP server and defining a schema and some complex queries for the warehouse. Different architectural alternatives exist. Many ...

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Providing OLAP to User-Analysts: An IT Mandate

Providing OLAP to User-Analysts: An IT Mandate

... The OLAP tools’ physical schema must adapt fully to the specific analytical model being created to provide optimal sparse matrix ...The OLAP tool’s basic physical data unit must be configurable to any ...

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Native Language OLAP Query Execution

Native Language OLAP Query Execution

... In terms of the decomposition itself, it is of course represented in an XML string generated by the pre-processor. This string is inserted into the query’s execute method and subsequently invoked in the main method. At ...

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Lecture 6- OLAP & its Implementation

Lecture 6- OLAP & its Implementation

... – Products (item, product category, product department,...) – Dates (day, week, month, quarter, year,...).. • Very high performance achieved by O(1) time lookup.[r] ...

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