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Notiziario Marketpress di
Martedì 28 Novembre 2000 |
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IBM SIMPLIFIES DATA MINING
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Segrate - 27 Novembre 2000 - Ibm announced new standards-based data mining technology that makes it easier for businesses to develop targeted, personalized treatment for customers and suppliers. Ibm Db2 Intelligent Miner Scoring Services, an option with Db2 Universal Database, is a data mining application that allows companies to rank customers according to a set of pre-determined criteria. A loan officer, for example, would be able to determine a customer´s credit-worthiness in real-time based on the institution´s policies while an applicant is on the phone, or even automate it as part of a self-service Internet process. Mining models can be updated dynamically, allowing continuous improvement in business results without disrupting production systems. Because Ibm Db2 Intelligent Miner Scoring Services eliminates the need for developers to program to low-level proprietary Apis or understand arcane data formats, it is easier for them to recompile and relink mining models to application programs. Built as a Db2 Extender, the new scoring services directly integrate data mining technology into the relational database management system for rapid application development and deployment and faster application performance. At the heart of Ibm´s data mining capabilities is the industry standard for predictive modeling, Pmml (Predictive Modeling Markup Language). The Data Mining Group ( http://www. Dmg. Org ), working with representatives from the data mining software industry and from academia, defined this standard to easily create and share data mining predictive models. Pmml is an Xml-based language that provides applications a vendor-independent method of defining predictive models so proprietary incompatibilities are no longer a barrier to the exchange of models between applications. Predictive models express the patterns of information discovered in data mining. Data mining is behind many Ibm advancements, including development of a data model to predict bankruptcies, which has been used now for over a year. Because of the particular patterns and relationships revealed through data mining, Ibm created a mathematical model to help companies better identify customers with financial trouble to help businesses resolve credit problems early, and not pass on the high costs of bankruptcy to other consumers. Db2 Intelligent Miner Scoring Services is in a beta test program with early customers and partners. It is expected to be generally available early next year. Ibm demonstrated Scoring Services at the Sixth Acm International Conference on Knowledge Discovery and Data Mining in Boston in August 2000. Other standards-based data solutions from Ibm include: v Ibm announced plans to support a new platform independent Java interface standard (Jolap) for creating, storing, accessing and managing data and metadata in Olap (On-line Analytical Processing) servers. Ibm is one of the key contributors to the creation of the standard with Sun, Oracle and Hyperion. Jolap was announced in August 2000. * Ibm co-developed the Common Warehouse Metamodel (Cwm) standard with the Object Management Group (Omg) and other industry representatives. The Cwm specification, published in June 2000, provides a standard means to transfer a wide variety of warehouse meta data among supporting applications. * The Open Group adopted Ibm´s Drda (Distributed Relational Database Architecture) as a standard interoperability protocol for databases and applications in October 1998. * The Db2 Universal Database was first to support Sqlj (September 1998), the industry standard for static Sql embedded in Java. Ibm co-authored the Sqlj standard, originally called Jsql, with Oracle, Sun and others. * Ibm´s Db2 Universal Database was the industry´s first database enabled with Java and Jdbc support (December 1996). * Ibm has more contributions to Sql standards than all database vendors combined. In 1999, Ibm contributed 57 percent of all Sql-standards-body submissions. By comparison, Oracle´s submissions equaled 23 percent and Microsoft 4 percent. |
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