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Related to Olap: data mining, OLAP cube


A gene (DSS-AHC critical region on the X chromosome, gene 1—formally known, per HUGO nomenclature, as NR0B1) located on chromosome Xp21.3 that encodes a protein containing a DNA-binding domain, which acts as a dominant-negative regulator of transcription mediated by the retinoic acid receptor. DAX1 also acts as an anti-testis gene by antagonising SRY.

Molecular pathology
DAX1 mutations cause both X-linked congenital adrenal hypoplasia and hypogonadotropic hypogonadism.


Abbrev. for Department of Social Security.
References in periodicals archive ?
2.2.3 Four fundamental techniques used in OLAP. Four fundamental techniques used in OLAP are discussed in detail query, data cube operations (slicing, dicing, and drill-down), statistical analysis, and data visualization.
In this paper, we investigate cold-start problem of recommending an OLAP session to the newcomer for the purpose of predicting his latent preference, and realize a Top-K recommendation algorithm to cope with this problem.
Data Warehousing, Data Mining, and OLAP. New York: McGraw-Hill, 1997.E.
But, it is worth noting that the above functions of OLAP technology are efficient for audit, but it only provides efficient, rapid, accurate and detailed data for audit, and it cannot and is unable to provide judgment on the audited data.
The NLRSDW builds RA expression to use the OLAP engine functionality.
OLAP cubes and dimensions are created by means of Microsoft Visual Studio 2008 [10].
As mentioned before, OLAP technology became a standard part of ERP systems.
It doesn't require pre-built online analytical processing (OLAP) cubes.
* ability to easily select multiple OLAP dimensions and measures at once, as well as apply grouping to measures for easier viewing;
1998, Sanchez 2001, Alexopolous 2002), we found that the most appropriate one for simulation outputs is the online analytical process (OLAP) because: (1) OLAP allows users and analysts to explore data in the way they think, across multiple variables, called dimensions, at the same time (Codd et al.
With the series, titled "Multi-Dimensional Business Intelligence on 7 CD-ROMs," data warehouse/business intelligence developers,administrators and project managers will learn techniques for configuring, administering and programming for Microsoft SQL Server 2005 and Analysis Services databases, design OLAP cubes and mining structures.
Features include data extraction, validation, and transformation, OLAP cube generation, SQL code generation, incremental and full data load, and reverse engineering of data warehouses and OLAP cube definitions.