Data mining for business analytics: concepts, techniques and applications in Python
"This book supplies insightful, detailed guidance on fundamental data mining techniques. The book guides readers through the use of Python software for developing predictive models and techniques in order to describe and find patterns in data. The authors use interesting, real-world examples to...
Gespeichert in:
| Beteiligte Personen: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken, NJ
John Wiley & Sons, Inc.
2020
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781119549840/?ar |
| Zusammenfassung: | "This book supplies insightful, detailed guidance on fundamental data mining techniques. The book guides readers through the use of Python software for developing predictive models and techniques in order to describe and find patterns in data. The authors use interesting, real-world examples to build a theoretical and practical understanding of key data mining methods, with a focus on analytics rather than programming. The book includes discussions of Python subroutines, allowing readers to work hands-on with the provided data. Throughout the book, applications of the discussed topics focus on the business problem as motivation and avoid unnecessary statistical theory. Topics covered include time series, text mining, and dimension reduction. Each chapter concludes with exercises that allow readers to expand their comprehension of the presented material. Over a dozen cases that require use of the different data mining techniques are introduced, and a related Web site features over two dozen data sets, exercise solutions, PowerPoint slides, and case solutions"-- |
| Beschreibung: | Includes bibliographical references and index. - Online resource; title from digital title page (viewed on April 29, 2020) |
| Umfang: | 1 Online-Ressource (xxix, 574 Seiten) illustrations (some color), color maps |
| ISBN: | 9781119549864 1119549868 9781119549857 111954985X 9781119549840 |
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| id | ZDB-30-ORH-108526909 |
| illustrated | Illustrated |
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| language | English |
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| spelling | Shmueli, Galit 1971- VerfasserIn aut Data mining for business analytics concepts, techniques and applications in Python Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel Hoboken, NJ John Wiley & Sons, Inc. 2020 ©2020 1 Online-Ressource (xxix, 574 Seiten) illustrations (some color), color maps Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Online resource; title from digital title page (viewed on April 29, 2020) "This book supplies insightful, detailed guidance on fundamental data mining techniques. The book guides readers through the use of Python software for developing predictive models and techniques in order to describe and find patterns in data. The authors use interesting, real-world examples to build a theoretical and practical understanding of key data mining methods, with a focus on analytics rather than programming. The book includes discussions of Python subroutines, allowing readers to work hands-on with the provided data. Throughout the book, applications of the discussed topics focus on the business problem as motivation and avoid unnecessary statistical theory. Topics covered include time series, text mining, and dimension reduction. Each chapter concludes with exercises that allow readers to expand their comprehension of the presented material. Over a dozen cases that require use of the different data mining techniques are introduced, and a related Web site features over two dozen data sets, exercise solutions, PowerPoint slides, and case solutions"-- Business mathematics Computer programs Business Data processing Data mining Python (Computer program language) Management Data processing Gestion ; Informatique Exploration de données (Informatique) Python (Langage de programmation) MATHEMATICS ; Probability & Statistics ; General Management ; Data processing Business ; Data processing Business mathematics ; Computer programs Bruce, Peter C. 1953- VerfasserIn aut Gedeck, Peter VerfasserIn aut Patel, Nitin R. VerfasserIn aut 9781119549840 Erscheint auch als Druck-Ausgabe 9781119549840 |
| spellingShingle | Shmueli, Galit 1971- Bruce, Peter C. 1953- Gedeck, Peter Patel, Nitin R. Data mining for business analytics concepts, techniques and applications in Python Business mathematics Computer programs Business Data processing Data mining Python (Computer program language) Management Data processing Gestion ; Informatique Exploration de données (Informatique) Python (Langage de programmation) MATHEMATICS ; Probability & Statistics ; General Management ; Data processing Business ; Data processing Business mathematics ; Computer programs |
| title | Data mining for business analytics concepts, techniques and applications in Python |
| title_auth | Data mining for business analytics concepts, techniques and applications in Python |
| title_exact_search | Data mining for business analytics concepts, techniques and applications in Python |
| title_full | Data mining for business analytics concepts, techniques and applications in Python Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel |
| title_fullStr | Data mining for business analytics concepts, techniques and applications in Python Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel |
| title_full_unstemmed | Data mining for business analytics concepts, techniques and applications in Python Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel |
| title_short | Data mining for business analytics |
| title_sort | data mining for business analytics concepts techniques and applications in python |
| title_sub | concepts, techniques and applications in Python |
| topic | Business mathematics Computer programs Business Data processing Data mining Python (Computer program language) Management Data processing Gestion ; Informatique Exploration de données (Informatique) Python (Langage de programmation) MATHEMATICS ; Probability & Statistics ; General Management ; Data processing Business ; Data processing Business mathematics ; Computer programs |
| topic_facet | Business mathematics Computer programs Business Data processing Data mining Python (Computer program language) Management Data processing Gestion ; Informatique Exploration de données (Informatique) Python (Langage de programmation) MATHEMATICS ; Probability & Statistics ; General Management ; Data processing Business ; Data processing Business mathematics ; Computer programs |
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