Using Standard APIs for Data Mining in Prediction

Using Standard APIs for Data Mining in Prediction

Jaroslav Zendulka (Brno University of Technology, Czech Republic)
Copyright: © 2005 |Pages: 4
DOI: 10.4018/978-1-59140-557-3.ch220
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Abstract

There are three standardization initiatives concerning application programming interfaces (API) for data mining — OLE DB for Data Mining (OLE DB for DM), SQL/MM Data Mining (SQL/MM DM), and Java Data Mining (JDM) (Schwenkreis, 2001; Grossman et al., 2002; Grossman, 2004). Their goal is to make it possible for different data mining algorithm providers from various software vendors to be easily plugged into applications. Although the goal is the same for all the APIs, the approach applied in each of them is different. OLE DB for DM is a language-based interface developed by Microsoft, SQL/MM DM is an ISO/IEC standard based on user-defined data types of SQL:1999, and JDM, which is being developed under SUN’s Java Community Process, contains packages of data mining oriented Java interfaces and classes.

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