XELOPES library - product information

■	Integration of prudsys models into user applications All prudsys data mining products (as well as products from other providers) can export their data mining models as XML files in PMML format. The XELOPES library, as a part of your application, allows you to import PMML models to be used for new data as scoring or recommendation engines.
■	Integration of data mining methods into user applications The XELOPES library makes powerful data mining algorithms available for you to easily integrate into your application. The comprehensive design enables automation of parameter selection of methods, making completely automatic usage possible.
■	Integration of own data mining methods The XELOPES library enables quick integration of new data mining methods, which can access the complete framework of the library, including standards.

Universality

The XELOPES library expands the "emerging" OMG Common Warehouse Metamodel (CWM) Standard and at the same time represents one of its first implementations. Like the CWM it is specified completely in UML and thus platform independent. Implementations for Java, C++ and C# as well as CORBA and web service interfaces are presently available. A universal mining input stream concept allows the library to be applied to various data sources - from the main memory to files to databases. It is easy to program your own data access classes. That makes XELOPES completely independent of both programming language and data source.

Standards supported

By nature of its construction the XELOPES library is completely compatible with the CWM standard. The PMML data exchange format is extensively supported. Other supported BI standards are JMI and JOLAP. There are connectors for OLE DB for data mining as well as to different popular data mining libraries.

Brochures:

Infoflyer XELOPES Library (en) Flyer (englisch) zur prudsys XELOPES Bibliothek geschätzte Downloadzeit ISDN (~ 64kB/s): 30 Sekunden

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Whitepaper:

The XELOPES Library: Embedded Data Mining Dr. Michael Thess, Presentation at Data Mining User Event Days 2003 (in German only) geschätzte Downloadzeit ISDN (~ 64kB/s): 17:4 Minuten	6MB
XELOPES Basket Algorithm Benchmarks Benchmarks of Basket and Sequence Analysis Algorithms of XELOPES Java Version geschätzte Downloadzeit ISDN (~ 64kB/s): 16 Sekunden	96kB