Relational Data Mining:
As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logi...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2001
|
| Ausgabe: | 1st ed. 2001 |
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field |
| Beschreibung: | 1 Online-Ressource (XIX, 398 p) |
| ISBN: | 9783662045992 |
| DOI: | 10.1007/978-3-662-04599-2 |
Internformat
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| 520 | |a As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field | ||
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Datensatz im Suchindex
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| author2 | Dzeroski, Saso Lavrač, Nada |
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| author_facet | Dzeroski, Saso Lavrač, Nada |
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| bvnumber | BV047064805 |
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| collection | ZDB-2-SCS |
| ctrlnum | (ZDB-2-SCS)978-3-662-04599-2 (OCoLC)1227481322 (DE-599)BVBBV047064805 |
| dewey-full | 006.312 |
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| dewey-ones | 006 - Special computer methods |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-3-662-04599-2 |
| edition | 1st ed. 2001 |
| format | Electronic eBook |
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| id | DE-604.BV047064805 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:23Z |
| indexdate | 2024-07-10T09:01:35Z |
| institution | BVB |
| isbn | 9783662045992 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032471916 |
| oclc_num | 1227481322 |
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| owner_facet | DE-706 |
| physical | 1 Online-Ressource (XIX, 398 p) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2000/2004 ZDB-2-SCS ZDB-2-SCS_2000/2004 |
| publishDate | 2001 |
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| publisher | Springer Berlin Heidelberg |
| record_format | marc |
| spelling | Relational Data Mining edited by Saso Dzeroski, Nada Lavrač 1st ed. 2001 Berlin, Heidelberg Springer Berlin Heidelberg 2001 1 Online-Ressource (XIX, 398 p) txt rdacontent c rdamedia cr rdacarrier As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field Data Mining and Knowledge Discovery Artificial Intelligence Data Structures and Information Theory Database Management Pattern Recognition Information Storage and Retrieval Data mining Artificial intelligence Data structures (Computer science) Database management Pattern recognition Information storage and retrieval Logische Programmierung (DE-588)4195096-3 gnd rswk-swf Relationales Datenmodell (DE-588)4418263-6 gnd rswk-swf Induktive Logik (DE-588)4161594-3 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Data Mining (DE-588)4428654-5 s Relationales Datenmodell (DE-588)4418263-6 s Logische Programmierung (DE-588)4195096-3 s Induktive Logik (DE-588)4161594-3 s DE-604 Dzeroski, Saso edt Lavrač, Nada edt Erscheint auch als Druck-Ausgabe 9783642076046 Erscheint auch als Druck-Ausgabe 9783662046005 Erscheint auch als Druck-Ausgabe 9783540422891 https://doi.org/10.1007/978-3-662-04599-2 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Relational Data Mining Data Mining and Knowledge Discovery Artificial Intelligence Data Structures and Information Theory Database Management Pattern Recognition Information Storage and Retrieval Data mining Artificial intelligence Data structures (Computer science) Database management Pattern recognition Information storage and retrieval Logische Programmierung (DE-588)4195096-3 gnd Relationales Datenmodell (DE-588)4418263-6 gnd Induktive Logik (DE-588)4161594-3 gnd Data Mining (DE-588)4428654-5 gnd |
| subject_GND | (DE-588)4195096-3 (DE-588)4418263-6 (DE-588)4161594-3 (DE-588)4428654-5 |
| title | Relational Data Mining |
| title_auth | Relational Data Mining |
| title_exact_search | Relational Data Mining |
| title_exact_search_txtP | Relational Data Mining |
| title_full | Relational Data Mining edited by Saso Dzeroski, Nada Lavrač |
| title_fullStr | Relational Data Mining edited by Saso Dzeroski, Nada Lavrač |
| title_full_unstemmed | Relational Data Mining edited by Saso Dzeroski, Nada Lavrač |
| title_short | Relational Data Mining |
| title_sort | relational data mining |
| topic | Data Mining and Knowledge Discovery Artificial Intelligence Data Structures and Information Theory Database Management Pattern Recognition Information Storage and Retrieval Data mining Artificial intelligence Data structures (Computer science) Database management Pattern recognition Information storage and retrieval Logische Programmierung (DE-588)4195096-3 gnd Relationales Datenmodell (DE-588)4418263-6 gnd Induktive Logik (DE-588)4161594-3 gnd Data Mining (DE-588)4428654-5 gnd |
| topic_facet | Data Mining and Knowledge Discovery Artificial Intelligence Data Structures and Information Theory Database Management Pattern Recognition Information Storage and Retrieval Data mining Artificial intelligence Data structures (Computer science) Database management Pattern recognition Information storage and retrieval Logische Programmierung Relationales Datenmodell Induktive Logik Data Mining |
| url | https://doi.org/10.1007/978-3-662-04599-2 |
| work_keys_str_mv | AT dzeroskisaso relationaldatamining AT lavracnada relationaldatamining |