Applying Data Mining Principles to Library Data Collection.
Fuente:
ERIC Institute of Education Sciences
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| Format: | Recurso educativo Open Access |
| Sprache: | en |
| Veröffentlicht: |
2000
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| _version_ | 1867181161010167808 |
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| author | Guenther, Kim |
| author_facet | Guenther, Kim Guenther, Kim |
| collection | Education Resources Information Center |
| contents | Applying Data Mining Principles to Library Data Collection. Guenther, Kim Data Collection Data Interpretation Data Processing Database Management Systems Library Statistics Explains how libraries can use data mining techniques for more effective data collection. Highlights include three phases: data selection and acquisition; data preparation and processing, including a discussion of the use of XML (extensible markup language); and data interpretation and integration, including database management systems. (LRW) |
| format | Recurso educativo Open Access |
| id | eric_EJ611720 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 2000 |
| record_format | eric |
| spellingShingle | Applying Data Mining Principles to Library Data Collection. Guenther, Kim Data Collection Data Interpretation Data Processing Database Management Systems Library Statistics Applying Data Mining Principles to Library Data Collection. Guenther, Kim Data Collection Data Interpretation Data Processing Database Management Systems Library Statistics Explains how libraries can use data mining techniques for more effective data collection. Highlights include three phases: data selection and acquisition; data preparation and processing, including a discussion of the use of XML (extensible markup language); and data interpretation and integration, including database management systems. (LRW) |
| title | Applying Data Mining Principles to Library Data Collection. |
| topic | Data Collection Data Interpretation Data Processing Database Management Systems Library Statistics |
| url | https://eric.ed.gov/?id=EJ611720 |