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Semantic data mining : an ontology-based approach /
"Ontologies are now increasingly used to integrate, and organize data and knowledge, particularly in data and knowledge-intensive applications in both research and industry. The book is devoted to semantic data mining--a data mining approach where domain ontologies are used as background knowle...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
IOS Press,
2017.
|
| Colección: | Studies on the Semantic Web ;
v. 029. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
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| 100 | 1 | |a Ławrynowicz, Agnieszka, |e author. | |
| 245 | 1 | 0 | |a Semantic data mining : |b an ontology-based approach / |c Agnieszka Ławrynowicz. |
| 264 | 1 | |a [Place of publication not identified] : |b IOS Press, |c 2017. | |
| 264 | 4 | |c ©2017 | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Studies on the Semantic Web ; |v Volume 029 | |
| 505 | 0 | |a Title Page; Contents; Preface; Part I. Introduction; Chapter 1. Introduction to Semantic Data Mining and Ontologies; Part II. Background; Chapter 2. Ontology Representation Languages; Chapter 3. Data Mining as Search; Part III. Methods; Chapter 4. Pattern Mining; Chapter 5. Classification; Chapter 6. Clustering and Similarity-Based Methods; Chapter 7. Dealing With Open World Assumption; Part IV. Applications; Chapter 8. Knowledge Graph Refinement; Chapter 9. Semantic Categorization of Query Results for Exploratory Search; Chapter 10. Semantic Meta-Mining; Bibliography. | |
| 504 | |a Includes bibliographical references. | ||
| 588 | 0 | |a Online resource; title from PDF title page (ProQuest, viewed October 8, 2019). | |
| 520 | |a "Ontologies are now increasingly used to integrate, and organize data and knowledge, particularly in data and knowledge-intensive applications in both research and industry. The book is devoted to semantic data mining--a data mining approach where domain ontologies are used as background knowledge, and where the new challenge is to mine knowledge encoded in domain ontologies and knowledge graphs, rather than only purely empirical data."-- |c Page [4] of cover. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Data mining. | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Exploration de données (Informatique) | |
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| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 776 | 0 | 8 | |i Print version: |a Ławrynowicz, Agnieszka. |t Semantic data mining. |d [Place of publication not identified] : IOS Press, 2017 |z 1614997454 |z 9781614997450 |w (OCoLC)986895781 |
| 830 | 0 | |a Studies on the Semantic Web ; |v v. 029. | |
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