Publication detail

Data Cleaning Functionality in DMSL

KOTÁSEK, P. ZENDULKA, J.

Original Title

Data Cleaning Functionality in DMSL

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Probably the most crucial step in the knowledge discovery in databases (KDD) process is data preparation because valuable knowledge can be obtained only from data that exposes its semantic content in the right way. Data cleaning is one of activities done during this step. But it does not receive much attention among the data mining community, including support in data mining languages. The Data Mining Specification Language (DMSL) presented in the paper aims to contribute to this topic. Some features of the language concerning data cleaning and a simple example are shown in the paper.

Keywords

Knowledge discovery, data mining, data cleaning, data mining language, DMSL

Authors

KOTÁSEK, P.; ZENDULKA, J.

RIV year

2003

Released

28. 4. 2003

Location

Ostrava

ISBN

80-85988-84-4

Book

Proceedings of 6th International Conference ISIM'03 Information Systems Implementation and Modelling

Pages from

99

Pages to

108

Pages count

10

BibTex

@inproceedings{BUT14190,
  author="Petr {Kotásek} and Jaroslav {Zendulka}",
  title="Data Cleaning Functionality in DMSL",
  booktitle="Proceedings of 6th International Conference ISIM'03 Information Systems Implementation and Modelling",
  year="2003",
  pages="99--108",
  address="Ostrava",
  isbn="80-85988-84-4"
}