Topic
XML for Analysis
About: XML for Analysis is a research topic. Over the lifetime, 7 publications have been published within this topic receiving 59 citations.
Papers
1 Jun 2005
TL;DR: An overview of OLE DB for Data Mining and XML for Analysis is given and how to build data mining application using these APIs is shown.
Abstract: A data mining component is included in Microsoft SQL Server 2000 and SQL Server 2005, one of the most popular DBMSs. This gives a push for data mining technologies to move from a niche towards the mainstream. Apart from a few algorithms, the main contribution of SQL Server Data Mining is the implementation of OLE DB for Data Mining. OLE DB for Data mining is an industrial standard led by Microsoft and supported by a number of ISVs. It leverages two existing relational technologies: SQL and OLE DB. It defines a SQL language for data mining based on a relational concept. More recently, Microsoft, Hyperion, SAS and a few other BI vendors formed the XML for Analysis Council. XML for Analysis covers both OLAP and Data Mining. The goal is to allow consumer applications to query various BI packages from different platforms. This paper gives an overview of OLE DB for Data Mining and XML for Analysis. It also shows how to build data mining application using these APIs.
31 citations
Proceedings Article•
1 Jan 2003
TL;DR: GML for Analysis (GMLA), which provides a XML format to integrate and interchange geographical multidimensional data, is proposed, which is based on OLAP and GIS XML standards, namely XML for analysis (XMLA) and Geography Markup Language (G ML), respectively.
Abstract: The integration among DW, OLAP and GIS has been given considerable attention in recent years by many researchers and industrial corporations. This may be a result of: 1) DW/OLAP can improve GIS spatial queries whereas, 2) a GIS can provide better support to deal with the DW/OLAP geographic data. Some research about this integration has already been done. However, these approaches do not deal with open and extensible solutions. In order to address this problem, we use the GOLAPA architecture, which follows Java, XML and Web Service technologies. Based on this architecture, this paper proposes GML for Analysis (GMLA), which provides a XML format to integrate and interchange geographical multidimensional data. GMLA is based on OLAP and GIS XML standards, namely XML for Analysis (XMLA) and Geography Markup Language (GML), respectively.
17 citations
Patent•
12 Jun 2008TL;DR: A test and analysis system may use Xpath or other text based analysis descriptors to analyze test results that may be presented in XML as discussed by the authors, and such descriptors may be frequently updated and distributed.
Abstract: A test and analysis system may use Xpath or other text based analysis descriptors to analyze test results that may be presented in XML. The text based analysis descriptors may be installed and used on an analysis system without exposing the analysis system to security vulnerabilities, and such descriptors may be frequently updated and distributed. A server device may have a test manager that may coordinate tests performed on other devices connected through a local area network, and may gather and store the test results for analysis. In some cases, the test results may be converted to XML for analysis.
6 citations
1 Dec 2009
TL;DR: This paper proposes a new XML grammar for the exchange of SOLAP data cubes, containing both spatial and descriptive data and metadata, that enables the delivery of the cube schema, dimension members (including the geometry of spatial members) and fact data.
Abstract: XML and Web Services technologies have revolutionized the way data are exchanged on the Internet. Meanwhile, Spatial OLAP (SOLAP) tools have emerged to bridge the gap between the Business Intelligence and Geographic Information Systems domains. While Web Services specifications such as XML for Analysis enable the use of OLAP tools in Service Oriented Architecture (SOA) environments, no solution addresses the exchange of complete SOLAP data cubes (comprising both spatial and descriptive data and metadata) in an interoperable fashion. This paper proposes a new XML grammar for the exchange of SOLAP data cubes, containing both spatial and descriptive data and metadata. It enables the delivery of the cube schema, dimension members (including the geometry of spatial members) and fact data. The use of this XML format is then demonstrated in the context of a Web Service. Such services can be deployed in various situations, not limited to traditional client-server platforms but also ubiquitous mobile computing environments.
5 citations
TL;DR: The workshop included several presentations on the application of data mining standards in various systems and platforms, as well as presentations on recent changes to the PMML standard, an opening panel discussion and a concluding round-table forum.
Abstract: This report is a summary of the workshop on Data Mining Standards, Services and Platform, which was held at the KDD 2005 in Chicago on August 21, 2005. The workshop included several presentations on the application of data mining standards in various systems and platforms, as well as presentations on recent changes to the PMML standard, an opening panel discussion and a concluding round-table forum.
4 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2012 | 1 |
| 2009 | 1 |
| 2008 | 1 |
| 2005 | 3 |
| 2003 | 1 |