R and data mining: examples and case studies
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Amsterdam [u.a.]
Academic Press
2013
|
| Subjects: | |
| Online Access: | FAW01 FLA01 FUBA1 UBM01 Volltext |
| Item Description: | 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 |
| Physical Description: | 1 Online-Ressource (XIII, 234 S.) graph. Darst. |
Staff View
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV042310466 | ||
| 003 | DE-604 | ||
| 005 | 20210528 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 150129s2013 |||| o||u| ||||||eng d | ||
| 024 | 7 | |a 10.1016/C2011-0-06686-3 |2 doi | |
| 035 | |a (OCoLC)821039505 | ||
| 035 | |a (DE-599)BVBBV042310466 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1046 |a DE-19 |a DE-188 | ||
| 082 | 0 | |a 006.3/12 |2 23 | |
| 084 | |a SK 850 |0 (DE-625)143263: |2 rvk | ||
| 084 | |a ST 601 |0 (DE-625)143682: |2 rvk | ||
| 100 | 1 | |a Zhao, Yanchang |d 1977- |e Verfasser |0 (DE-588)118227000X |4 aut | |
| 245 | 1 | 0 | |a R and data mining |b examples and case studies |c Yanchang Zhao |
| 264 | 1 | |a Amsterdam [u.a.] |b Academic Press |c 2013 | |
| 300 | |a 1 Online-Ressource (XIII, 234 S.) |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |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 | ||
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a R (Computer program language) |2 fast | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a R (Computer program language) | |
| 650 | 0 | 7 | |a Data Mining |0 (DE-588)4428654-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
| 655 | 7 | |8 1\p |0 (DE-588)4522595-3 |a Fallstudiensammlung |2 gnd-content | |
| 689 | 0 | 0 | |a Data Mining |0 (DE-588)4428654-5 |D s |
| 689 | 0 | 1 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
| 689 | 0 | |C b |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-0-12-396963-7 |w (DE-604)BV040916126 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 0-12-396963-8 |
| 856 | 4 | 0 | |u http://www.sciencedirect.com/science/book/9780123969637 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-33-ESD |a ZDB-4-EBA |a ZDB-33-EBS | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-027747458 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 966 | e | |u http://www.sciencedirect.com/science/book/9780123969637 |l FAW01 |p ZDB-33-ESD |q FAW_PDA_ESD |x Verlag |3 Volltext | |
| 966 | e | |u http://www.sciencedirect.com/science/book/9780123969637 |l FLA01 |p ZDB-33-ESD |q FLA_PDA_ESD |x Verlag |3 Volltext | |
| 966 | e | |u http://www.sciencedirect.com/science/book/9780123969637 |l FUBA1 |p ZDB-33-ESD |q ZDB-33-ESD 2013 |x Verlag |3 Volltext | |
| 966 | e | |u http://www.sciencedirect.com/science/book/9780123969637 |l UBM01 |p ZDB-33-ESD |q UBM_PDA_ESD_Kauf |x Verlag |3 Volltext | |
Record in the Search Index
| _version_ | 1804152899125641216 |
|---|---|
| any_adam_object | |
| author | Zhao, Yanchang 1977- |
| author_GND | (DE-588)118227000X |
| author_facet | Zhao, Yanchang 1977- |
| author_role | aut |
| author_sort | Zhao, Yanchang 1977- |
| author_variant | y z yz |
| building | Verbundindex |
| bvnumber | BV042310466 |
| classification_rvk | SK 850 ST 601 |
| collection | ZDB-33-ESD ZDB-4-EBA ZDB-33-EBS |
| ctrlnum | (OCoLC)821039505 (DE-599)BVBBV042310466 |
| 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 |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03625nmm a2200529zc 4500</leader><controlfield tag="001">BV042310466</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20210528 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">150129s2013 |||| o||u| ||||||eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/C2011-0-06686-3</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)821039505</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042310466</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1046</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-188</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3/12</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SK 850</subfield><subfield code="0">(DE-625)143263:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 601</subfield><subfield code="0">(DE-625)143682:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhao, Yanchang</subfield><subfield code="d">1977-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)118227000X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">R and data mining</subfield><subfield code="b">examples and case studies</subfield><subfield code="c">Yanchang Zhao</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Amsterdam [u.a.]</subfield><subfield code="b">Academic Press</subfield><subfield code="c">2013</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XIII, 234 S.)</subfield><subfield code="b">graph. Darst.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="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</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data mining</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">R (Computer program language)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">R (Computer program language)</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Data Mining</subfield><subfield code="0">(DE-588)4428654-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="8">1\p</subfield><subfield code="0">(DE-588)4522595-3</subfield><subfield code="a">Fallstudiensammlung</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Data Mining</subfield><subfield code="0">(DE-588)4428654-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="C">b</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-0-12-396963-7</subfield><subfield code="w">(DE-604)BV040916126</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">0-12-396963-8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/book/9780123969637</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-33-ESD</subfield><subfield code="a">ZDB-4-EBA</subfield><subfield code="a">ZDB-33-EBS</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-027747458</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.sciencedirect.com/science/book/9780123969637</subfield><subfield code="l">FAW01</subfield><subfield code="p">ZDB-33-ESD</subfield><subfield code="q">FAW_PDA_ESD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.sciencedirect.com/science/book/9780123969637</subfield><subfield code="l">FLA01</subfield><subfield code="p">ZDB-33-ESD</subfield><subfield code="q">FLA_PDA_ESD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.sciencedirect.com/science/book/9780123969637</subfield><subfield code="l">FUBA1</subfield><subfield code="p">ZDB-33-ESD</subfield><subfield code="q">ZDB-33-ESD 2013</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.sciencedirect.com/science/book/9780123969637</subfield><subfield code="l">UBM01</subfield><subfield code="p">ZDB-33-ESD</subfield><subfield code="q">UBM_PDA_ESD_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| genre | 1\p (DE-588)4522595-3 Fallstudiensammlung gnd-content |
| genre_facet | Fallstudiensammlung |
| id | DE-604.BV042310466 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:18:02Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027747458 |
| oclc_num | 821039505 |
| open_access_boolean | |
| owner | DE-1046 DE-19 DE-BY-UBM DE-188 |
| owner_facet | DE-1046 DE-19 DE-BY-UBM DE-188 |
| physical | 1 Online-Ressource (XIII, 234 S.) graph. Darst. |
| psigel | ZDB-33-ESD ZDB-4-EBA ZDB-33-EBS ZDB-33-ESD FAW_PDA_ESD ZDB-33-ESD FLA_PDA_ESD ZDB-33-ESD ZDB-33-ESD 2013 ZDB-33-ESD UBM_PDA_ESD_Kauf |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Academic Press |
| record_format | marc |
| spelling | Zhao, Yanchang 1977- Verfasser (DE-588)118227000X aut R and data mining examples and case studies Yanchang Zhao Amsterdam [u.a.] Academic Press 2013 1 Online-Ressource (XIII, 234 S.) graph. Darst. txt rdacontent c rdamedia cr rdacarrier 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 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 b DE-604 Erscheint auch als Druck-Ausgabe 978-0-12-396963-7 (DE-604)BV040916126 Erscheint auch als Druck-Ausgabe 0-12-396963-8 http://www.sciencedirect.com/science/book/9780123969637 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Zhao, Yanchang 1977- R and data mining examples and case studies 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 | 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 | Data mining R (Computer program language) Data Mining R Programm Fallstudiensammlung |
| url | http://www.sciencedirect.com/science/book/9780123969637 |
| work_keys_str_mv | AT zhaoyanchang randdataminingexamplesandcasestudies |