R and data mining: examples and case studies
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Place of publication not identified]
Academic Press
2013
|
| Schlagwörter: | |
| Beschreibung: | Publisher supplied information; title not viewed |
| Umfang: | 1 online resource |
| ISBN: | 9780123972712 012397271X |
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| 505 | 8 | |a This book introduces using R for data mining. Data mining techniques are widely used in government agencies, banks, insurance, retail, telecom, medicine and research. Recently, there is an increasing tendency to do data mining with R, a free software environment for statistical computing and graphics. According to a poll by KDnuggets.com in early 2011, R is the 2nd popular tool for data mining work. By introducing using R for data mining, this book will have a broad audience from both academia and industry. It targets researchers in the field of data mining, postgraduate students who are interested in data mining, and data miners and analysts from industry. For example, many universities have courses on data mining, and the proposed book will be a useful reference for students learning data mining in those courses. There are also many training courses on data mining in industry, such as training by SAS and IBM on data mining. The book will be of interest to the course learners as well. Presents an introduction into using R for data mining applications, covering most popular data mining techniques. Provides code examples and data so that readers can easily learn the techniques. Features case studies in real-world applications to help readers apply the techniques in their work | |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Zhao, Yanchang |
| author_facet | Zhao, Yanchang |
| author_role | aut |
| author_sort | Zhao, Yanchang |
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| contents | This book introduces using R for data mining. Data mining techniques are widely used in government agencies, banks, insurance, retail, telecom, medicine and research. Recently, there is an increasing tendency to do data mining with R, a free software environment for statistical computing and graphics. According to a poll by KDnuggets.com in early 2011, R is the 2nd popular tool for data mining work. By introducing using R for data mining, this book will have a broad audience from both academia and industry. It targets researchers in the field of data mining, postgraduate students who are interested in data mining, and data miners and analysts from industry. For example, many universities have courses on data mining, and the proposed book will be a useful reference for students learning data mining in those courses. There are also many training courses on data mining in industry, such as training by SAS and IBM on data mining. The book will be of interest to the course learners as well. Presents an introduction into using R for data mining applications, covering most popular data mining techniques. Provides code examples and data so that readers can easily learn the techniques. Features case studies in real-world applications to help readers apply the techniques in their work |
| ctrlnum | (ZDB-4-ITC)ocn821039505 (OCoLC)821039505 (DE-599)BVBBV045349816 |
| dewey-full | 006.3/12 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/12 |
| dewey-search | 006.3/12 |
| dewey-sort | 16.3 212 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Mathematik |
| format | Electronic eBook |
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| spelling | Zhao, Yanchang Verfasser aut R and data mining examples and case studies Yanchang Zhao [Place of publication not identified] Academic Press 2013 1 online resource txt rdacontent c rdamedia cr rdacarrier Publisher supplied information; title not viewed This book introduces using R for data mining. Data mining techniques are widely used in government agencies, banks, insurance, retail, telecom, medicine and research. Recently, there is an increasing tendency to do data mining with R, a free software environment for statistical computing and graphics. According to a poll by KDnuggets.com in early 2011, R is the 2nd popular tool for data mining work. By introducing using R for data mining, this book will have a broad audience from both academia and industry. It targets researchers in the field of data mining, postgraduate students who are interested in data mining, and data miners and analysts from industry. For example, many universities have courses on data mining, and the proposed book will be a useful reference for students learning data mining in those courses. There are also many training courses on data mining in industry, such as training by SAS and IBM on data mining. The book will be of interest to the course learners as well. Presents an introduction into using R for data mining applications, covering most popular data mining techniques. Provides code examples and data so that readers can easily learn the techniques. Features case studies in real-world applications to help readers apply the techniques in their work COMPUTERS / Database Management / Data Mining bisacsh Data mining fast R (Computer program language) fast Data mining R (Computer program language) Data Mining (DE-588)4428654-5 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf 1\p (DE-588)4522595-3 Fallstudiensammlung gnd-content Data Mining (DE-588)4428654-5 s R Programm (DE-588)4705956-4 s 2\p DE-604 Erscheint auch als Druck-Ausgabe Zhao, Yanchang, 1977- R and data mining First edition San Diego, CA : Academic Press, 2013 9780123969637 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Zhao, Yanchang R and data mining examples and case studies This book introduces using R for data mining. Data mining techniques are widely used in government agencies, banks, insurance, retail, telecom, medicine and research. Recently, there is an increasing tendency to do data mining with R, a free software environment for statistical computing and graphics. According to a poll by KDnuggets.com in early 2011, R is the 2nd popular tool for data mining work. By introducing using R for data mining, this book will have a broad audience from both academia and industry. It targets researchers in the field of data mining, postgraduate students who are interested in data mining, and data miners and analysts from industry. For example, many universities have courses on data mining, and the proposed book will be a useful reference for students learning data mining in those courses. There are also many training courses on data mining in industry, such as training by SAS and IBM on data mining. The book will be of interest to the course learners as well. Presents an introduction into using R for data mining applications, covering most popular data mining techniques. Provides code examples and data so that readers can easily learn the techniques. Features case studies in real-world applications to help readers apply the techniques in their work COMPUTERS / Database Management / Data Mining bisacsh Data mining fast R (Computer program language) fast Data mining R (Computer program language) Data Mining (DE-588)4428654-5 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4705956-4 (DE-588)4522595-3 |
| title | R and data mining examples and case studies |
| title_auth | R and data mining examples and case studies |
| title_exact_search | R and data mining examples and case studies |
| title_full | R and data mining examples and case studies Yanchang Zhao |
| title_fullStr | R and data mining examples and case studies Yanchang Zhao |
| title_full_unstemmed | R and data mining examples and case studies Yanchang Zhao |
| title_short | R and data mining |
| title_sort | r and data mining examples and case studies |
| title_sub | examples and case studies |
| topic | COMPUTERS / Database Management / Data Mining bisacsh Data mining fast R (Computer program language) fast Data mining R (Computer program language) Data Mining (DE-588)4428654-5 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | COMPUTERS / Database Management / Data Mining Data mining R (Computer program language) Data mining R (Computer program language) Data Mining R Programm Fallstudiensammlung |
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