Implementation of machine learning algorithms using control-flow and dataflow paradigms:
"This is a reference book for experienced professionals, that treats four widely used data-mining algorithms in a novel way, offering a basic introduction with issues of importance, advantages and disadvantages of these algorithms
Gespeichert in:
| Beteiligte Personen: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2022
|
| Schlagwörter: | |
| Links: | https://doi.org/10.4018/978-1-7998-8350-0 https://doi.org/10.4018/978-1-7998-8350-0 https://doi.org/10.4018/978-1-7998-8350-0 https://www.igi-global.com/gateway/book/269963 https://doi.org/10.4018/978-1-7998-8350-0 https://doi.org/10.4018/978-1-7998-8350-0 https://www.igi-global.com/gateway/book/269963 |
| Zusammenfassung: | "This is a reference book for experienced professionals, that treats four widely used data-mining algorithms in a novel way, offering a basic introduction with issues of importance, advantages and disadvantages of these algorithms |
| Beschreibung: | Includes bibliographical references and index Chapter 1. Introduction to data mining -- Chapter 2. Classification algorithms and control-flow implementation -- Chapter 3. Classification algorithms and dataflow implementation -- Chapter 4. Scientific applications of machine learning algorithms -- Chapter 5. Business and industrial applications of machine learning algorithms -- Chapter 6. Implementation details of neural networks using dataflow -- Chapter 7. Implementation details of decision tree algorithms using dataflow -- Chapter 8. Implementation details of rule-based algorithms using dataflow -- Chapter 9. Implementation details of density-based algorithms using dataflow -- Chapter 10. Issues related to acceleration of algorithms. - Mode of access: World Wide Web |
| Umfang: | 1 Online-Ressource (296 Seiten) illustrations |
| ISBN: | 9781799883524 |
Internformat
MARC
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| 245 | 1 | 0 | |a Implementation of machine learning algorithms using control-flow and dataflow paradigms |c by Veljko Milutinovic, Nenad S. Mitic, Aleksandar Aleksej Kartelj, and Milos Kotlar |
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| 500 | |a Includes bibliographical references and index | ||
| 500 | |a Chapter 1. Introduction to data mining -- Chapter 2. Classification algorithms and control-flow implementation -- Chapter 3. Classification algorithms and dataflow implementation -- Chapter 4. Scientific applications of machine learning algorithms -- Chapter 5. Business and industrial applications of machine learning algorithms -- Chapter 6. Implementation details of neural networks using dataflow -- Chapter 7. Implementation details of decision tree algorithms using dataflow -- Chapter 8. Implementation details of rule-based algorithms using dataflow -- Chapter 9. Implementation details of density-based algorithms using dataflow -- Chapter 10. Issues related to acceleration of algorithms. - Mode of access: World Wide Web | ||
| 520 | |a "This is a reference book for experienced professionals, that treats four widely used data-mining algorithms in a novel way, offering a basic introduction with issues of importance, advantages and disadvantages of these algorithms | ||
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Algorithms | |
| 650 | 4 | |a Machine learning | |
| 700 | 1 | |a Mitic, Nenad S. |4 aut | |
| 700 | 1 | |a Kartelj, Aleksandar Aleksej |4 aut | |
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Datensatz im Suchindex
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| _version_ | 1821936272174743554 |
| any_adam_object | |
| author | Milutinović, Veljko Mitic, Nenad S. Kartelj, Aleksandar Aleksej Kotlar, Milos |
| author_facet | Milutinović, Veljko Mitic, Nenad S. Kartelj, Aleksandar Aleksej Kotlar, Milos |
| author_role | aut aut aut aut |
| author_sort | Milutinović, Veljko |
| author_variant | v m vm n s m ns nsm a a k aa aak m k mk |
| building | Verbundindex |
| bvnumber | BV047911143 |
| collection | ZDB-98-IGB ZDB-1-IGE |
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| dewey-full | 006.312 |
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| dewey-ones | 006 - Special computer methods |
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| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV047911143 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T19:32:01Z |
| institution | BVB |
| isbn | 9781799883524 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033292896 |
| oclc_num | 1310257365 |
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| physical | 1 Online-Ressource (296 Seiten) illustrations |
| psigel | ZDB-98-IGB ZDB-1-IGE ZDB-98-IGB TUM_Paketkauf ZDB-98-IGB TUB_EBS_IGB |
| publishDate | 2022 |
| publishDateSearch | 2022 |
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| publisher | IGI Global |
| record_format | marc |
| spellingShingle | Milutinović, Veljko Mitic, Nenad S. Kartelj, Aleksandar Aleksej Kotlar, Milos Implementation of machine learning algorithms using control-flow and dataflow paradigms Data mining Algorithms Machine learning |
| title | Implementation of machine learning algorithms using control-flow and dataflow paradigms |
| title_auth | Implementation of machine learning algorithms using control-flow and dataflow paradigms |
| title_exact_search | Implementation of machine learning algorithms using control-flow and dataflow paradigms |
| title_full | Implementation of machine learning algorithms using control-flow and dataflow paradigms by Veljko Milutinovic, Nenad S. Mitic, Aleksandar Aleksej Kartelj, and Milos Kotlar |
| title_fullStr | Implementation of machine learning algorithms using control-flow and dataflow paradigms by Veljko Milutinovic, Nenad S. Mitic, Aleksandar Aleksej Kartelj, and Milos Kotlar |
| title_full_unstemmed | Implementation of machine learning algorithms using control-flow and dataflow paradigms by Veljko Milutinovic, Nenad S. Mitic, Aleksandar Aleksej Kartelj, and Milos Kotlar |
| title_short | Implementation of machine learning algorithms using control-flow and dataflow paradigms |
| title_sort | implementation of machine learning algorithms using control flow and dataflow paradigms |
| topic | Data mining Algorithms Machine learning |
| topic_facet | Data mining Algorithms Machine learning |
| url | https://www.igi-global.com/gateway/book/269963 |
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