Detail publikace

Describing the Data Mining Process with DMSL

Originální název

Describing the Data Mining Process with DMSL

Anglický název

Describing the Data Mining Process with DMSL

Jazyk

en

Originální abstrakt

The state of the art in the domain of knowledge discovery in databases (KDD) and data mining (DM) has reached the point where the existence of various languages is becoming highly desirable. This paper presents an XML-based language called DMSL (Data Mining Specification Language). Its purpose is to provide the framework for platform-independent definition of the whole data mining process, and exchange and sharing of DM projects among different applications, possibly operating in heterogeneous environments. We assume that the reader is familiar with the notions of XML, knowledge discovery in databases, and data mining.

Anglický abstrakt

The state of the art in the domain of knowledge discovery in databases (KDD) and data mining (DM) has reached the point where the existence of various languages is becoming highly desirable. This paper presents an XML-based language called DMSL (Data Mining Specification Language). Its purpose is to provide the framework for platform-independent definition of the whole data mining process, and exchange and sharing of DM projects among different applications, possibly operating in heterogeneous environments. We assume that the reader is familiar with the notions of XML, knowledge discovery in databases, and data mining.

BibTex


@inproceedings{BUT10254,
  author="Petr {Kotásek} and Jaroslav {Zendulka}",
  title="Describing the Data Mining Process with DMSL",
  annote="The state of the art in the domain of knowledge discovery in databases
(KDD) and data mining (DM) has reached the point where the existence of
various languages is becoming highly desirable. This paper presents an
XML-based language called DMSL (Data Mining Specification Language).
Its purpose is to provide the framework for platform-independent
definition of the whole data mining process, and exchange and sharing
of DM projects among different applications, possibly operating in
heterogeneous environments. We assume that the reader is familiar with
the notions of XML, knowledge discovery in databases, and data mining.",
  address="Slovak University of Technology in Bratislava",
  booktitle="Advances in Database and Information Systems. Vol. 2: Research Communications.",
  chapter="10254",
  institution="Slovak University of Technology in Bratislava",
  year="2002",
  month="september",
  pages="131--140",
  publisher="Slovak University of Technology in Bratislava",
  type="conference paper"
}