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Multi-relational data mining /
With the increased possibilities in modern society for companies and institutions to gather data cheaply and efficiently, the subject of Data Mining has become of increasing importance. This work looks into the different uses of Data Mining, covering the subject of Multi-Relational Data Mining (MRDM...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; Washington D.C. :
Ios Press,
©2006.
|
| Colección: | Frontiers in artificial intelligence and applications ;
v. 145. Frontiers in artificial intelligence and applications. Dissertations in artificial intelligence. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Knobbe, Arno J. | |
| 245 | 1 | 0 | |a Multi-relational data mining / |c Arno J. Knobbe. |
| 260 | |a Amsterdam ; |a Washington D.C. : |b Ios Press, |c ©2006. | ||
| 300 | |a 1 online resource (x, 118 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Frontiers in artificial intelligence and applications ; |v v. 145 | |
| 490 | 1 | |a Dissertations in artificial intelligence | |
| 504 | |a Includes bibliographical references (pages 109-113) and index. | ||
| 505 | 0 | |a Title page; Contents; Acknowledgements; Introduction; Structured Data Mining; Multi-Relational Data; Multi-Relational Patterns; Multi-Relational Rule Discovery; Multi-Relational Decision Tree Induction; Aggregate Functions; Aggregate Functions & Propositionalisation; Aggregate Functions & Rule Discovery; MRDM Primitives; MRDM in Action; Conclusion; Appendix A: MRML; Bibliography; Index. | |
| 520 | |a With the increased possibilities in modern society for companies and institutions to gather data cheaply and efficiently, the subject of Data Mining has become of increasing importance. This work looks into the different uses of Data Mining, covering the subject of Multi-Relational Data Mining (MRDM), the approach to Structured Data Mining. | ||
| 588 | 0 | |a Print version record. | |
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| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Relational databases. | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Bases de données relationnelles. | |
| 650 | 7 | |a COMPUTERS |x Desktop Applications |x Databases. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Database Management |x General. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x System Administration |x Storage & Retrieval. |2 bisacsh | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Relational databases |2 fast | |
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| 830 | 0 | |a Frontiers in artificial intelligence and applications ; |v v. 145. | |
| 830 | 0 | |a Frontiers in artificial intelligence and applications. |p Dissertations in artificial intelligence. | |
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