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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Körperschaft: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam ; Washington D.C. :
Ios Press,
©2006.
|
| Schriftenreihe: | Frontiers in artificial intelligence and applications ;
v. 145. Frontiers in artificial intelligence and applications. Dissertations in artificial intelligence. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource (x, 118 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 109-113) and index. |
| ISBN: | 9781607501985 1607501988 1429419032 9781429419031 9781601295095 160129509X |
Internformat
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| contents | 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. |
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| indexdate | 2024-11-27T13:16:55Z |
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| series | Frontiers in artificial intelligence and applications ; Frontiers in artificial intelligence and applications. Dissertations in artificial intelligence. |
| series2 | Frontiers in artificial intelligence and applications ; Dissertations in artificial intelligence |
| spelling | Knobbe, Arno J. Multi-relational data mining / Arno J. Knobbe. Amsterdam ; Washington D.C. : Ios Press, ©2006. 1 online resource (x, 118 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Frontiers in artificial intelligence and applications ; v. 145 Dissertations in artificial intelligence Includes bibliographical references (pages 109-113) and index. 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. 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. Print version record. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Relational databases. http://id.loc.gov/authorities/subjects/sh86007768 Data Mining https://id.nlm.nih.gov/mesh/D057225 Exploration de données (Informatique) Bases de données relationnelles. COMPUTERS Desktop Applications Databases. bisacsh COMPUTERS Database Management General. bisacsh COMPUTERS System Administration Storage & Retrieval. bisacsh Data mining fast Relational databases fast IOS Press. http://id.loc.gov/authorities/names/no2015091156 has work: Multi-relational data mining (Text) https://id.oclc.org/worldcat/entity/E39PCG6QKWMtdJy7JPrmWFtPDC https://id.oclc.org/worldcat/ontology/hasWork Print version: Knobbe, Arno J. Multi-relational data mining. Amsterdam ; Washington D.C. : Ios Press, ©2006 9781586036614 1586036610 (DLC) 2006931539 (OCoLC)76910529 Frontiers in artificial intelligence and applications ; v. 145. http://id.loc.gov/authorities/names/n92019289 Frontiers in artificial intelligence and applications. Dissertations in artificial intelligence. http://id.loc.gov/authorities/names/no2003047925 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=176061 Volltext |
| spellingShingle | Knobbe, Arno J. Multi-relational data mining / Frontiers in artificial intelligence and applications ; Frontiers in artificial intelligence and applications. Dissertations in artificial intelligence. 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. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Relational databases. http://id.loc.gov/authorities/subjects/sh86007768 Data Mining https://id.nlm.nih.gov/mesh/D057225 Exploration de données (Informatique) Bases de données relationnelles. COMPUTERS Desktop Applications Databases. bisacsh COMPUTERS Database Management General. bisacsh COMPUTERS System Administration Storage & Retrieval. bisacsh Data mining fast Relational databases fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh97002073 http://id.loc.gov/authorities/subjects/sh86007768 https://id.nlm.nih.gov/mesh/D057225 |
| title | Multi-relational data mining / |
| title_auth | Multi-relational data mining / |
| title_exact_search | Multi-relational data mining / |
| title_full | Multi-relational data mining / Arno J. Knobbe. |
| title_fullStr | Multi-relational data mining / Arno J. Knobbe. |
| title_full_unstemmed | Multi-relational data mining / Arno J. Knobbe. |
| title_short | Multi-relational data mining / |
| title_sort | multi relational data mining |
| topic | Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Relational databases. http://id.loc.gov/authorities/subjects/sh86007768 Data Mining https://id.nlm.nih.gov/mesh/D057225 Exploration de données (Informatique) Bases de données relationnelles. COMPUTERS Desktop Applications Databases. bisacsh COMPUTERS Database Management General. bisacsh COMPUTERS System Administration Storage & Retrieval. bisacsh Data mining fast Relational databases fast |
| topic_facet | Data mining. Relational databases. Data Mining Exploration de données (Informatique) Bases de données relationnelles. COMPUTERS Desktop Applications Databases. COMPUTERS Database Management General. COMPUTERS System Administration Storage & Retrieval. Data mining Relational databases |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=176061 |
| work_keys_str_mv | AT knobbearnoj multirelationaldatamining AT iospress multirelationaldatamining |