Applied analytics through case studies using SAS & R: implementing predictive models and machine learning techniques
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York
APRESS
2018
|
| Series: | For professionals by professionals
|
| Subjects: | |
| Online Access: | Inhaltstext http://www.springer.com/ |
| Item Description: | Auf der Coverrückseite: Shelve in: Databases / general, User level: Intermediate - advanced |
| Physical Description: | XX, 404 Seiten Diagramme 25.4 cm x 17.8 cm |
| ISBN: | 9781484235249 148423524X |
Staff View
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV045871909 | ||
| 003 | DE-604 | ||
| 005 | 20190718 | ||
| 007 | t | ||
| 008 | 190510s2018 xxu|||| |||| 00||| eng d | ||
| 016 | 7 | |a 1151061492 |2 DE-101 | |
| 020 | |a 9781484235249 |c Book : circa EUR 37.44 (DE) (freier Preis), circa EUR 38.49 (AT) (freier Preis), circa CHF 38.50 (freier Preis) |9 978-1-4842-3524-9 | ||
| 020 | |a 148423524X |9 1-4842-3524-X | ||
| 024 | 3 | |a 9781484235249 | |
| 028 | 5 | 2 | |a Bestellnummer: 978-1-4842-3524-9 |
| 028 | 5 | 2 | |a Bestellnummer: 86939894 |
| 035 | |a (OCoLC)1110073075 | ||
| 035 | |a (DE-599)DNB1151061492 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxu |c XD-US | ||
| 049 | |a DE-11 | ||
| 084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
| 084 | |a ST 601 |0 (DE-625)143682: |2 rvk | ||
| 084 | |a 004 |2 sdnb | ||
| 100 | 1 | |a Gupta, Deepti |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Applied analytics through case studies using SAS & R |b implementing predictive models and machine learning techniques |c Deepti Gupta |
| 264 | 1 | |a New York |b APRESS |c 2018 | |
| 264 | 4 | |c © 2018 | |
| 300 | |a XX, 404 Seiten |b Diagramme |c 25.4 cm x 17.8 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a For professionals by professionals | |
| 500 | |a Auf der Coverrückseite: Shelve in: Databases / general, User level: Intermediate - advanced | ||
| 650 | 0 | 7 | |a SAS |g Programm |0 (DE-588)4195685-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Wirtschaftsinformatik |0 (DE-588)4112736-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Big Data |0 (DE-588)4802620-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Statistik |0 (DE-588)4056995-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
| 653 | |a UN | ||
| 653 | |a UM | ||
| 653 | |a KJQ | ||
| 653 | |a Business Analytics | ||
| 653 | |a SAS | ||
| 653 | |a Machine Learning | ||
| 653 | |a Telecom | ||
| 653 | |a Healthcare | ||
| 653 | |a Banking | ||
| 653 | |a UN | ||
| 689 | 0 | 0 | |a Big Data |0 (DE-588)4802620-7 |D s |
| 689 | 0 | 1 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
| 689 | 0 | 2 | |a SAS |g Programm |0 (DE-588)4195685-0 |D s |
| 689 | 0 | 3 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 689 | 1 | 0 | |a Wirtschaftsinformatik |0 (DE-588)4112736-5 |D s |
| 689 | 1 | 1 | |a Statistik |0 (DE-588)4056995-0 |D s |
| 689 | 1 | |8 2\p |5 DE-604 | |
| 710 | 2 | |a Apress L.P. |0 (DE-588)1065538766 |4 pbl | |
| 776 | 0 | 8 | |i Elektronische Reproduktion |z 9781484235256 |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-4842-3525-6 |
| 856 | 4 | 2 | |m X:MVB |q text/html |u http://deposit.dnb.de/cgi-bin/dokserv?id=86af5347808c45489e6c61660d483fe0&prov=M&dok_var=1&dok_ext=htm |3 Inhaltstext |
| 856 | 4 | 2 | |m X:MVB |u http://www.springer.com/ |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-031255231 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
Record in the Search Index
| _version_ | 1804180014136033280 |
|---|---|
| any_adam_object | |
| author | Gupta, Deepti |
| author_facet | Gupta, Deepti |
| author_role | aut |
| author_sort | Gupta, Deepti |
| author_variant | d g dg |
| building | Verbundindex |
| bvnumber | BV045871909 |
| classification_rvk | ST 250 ST 601 |
| ctrlnum | (OCoLC)1110073075 (DE-599)DNB1151061492 |
| discipline | Informatik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02970nam a2200769 c 4500</leader><controlfield tag="001">BV045871909</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20190718 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">190510s2018 xxu|||| |||| 00||| eng d</controlfield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">1151061492</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781484235249</subfield><subfield code="c">Book : circa EUR 37.44 (DE) (freier Preis), circa EUR 38.49 (AT) (freier Preis), circa CHF 38.50 (freier Preis)</subfield><subfield code="9">978-1-4842-3524-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">148423524X</subfield><subfield code="9">1-4842-3524-X</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9781484235249</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">Bestellnummer: 978-1-4842-3524-9</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">Bestellnummer: 86939894</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1110073075</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB1151061492</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-11</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</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="084" ind1=" " ind2=" "><subfield code="a">004</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gupta, Deepti</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Applied analytics through case studies using SAS & R</subfield><subfield code="b">implementing predictive models and machine learning techniques</subfield><subfield code="c">Deepti Gupta</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York</subfield><subfield code="b">APRESS</subfield><subfield code="c">2018</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XX, 404 Seiten</subfield><subfield code="b">Diagramme</subfield><subfield code="c">25.4 cm x 17.8 cm</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">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">For professionals by professionals</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Auf der Coverrückseite: Shelve in: Databases / general, User level: Intermediate - advanced</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">SAS</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4195685-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Wirtschaftsinformatik</subfield><subfield code="0">(DE-588)4112736-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</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="653" ind1=" " ind2=" "><subfield code="a">UN</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">UM</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">KJQ</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Business Analytics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">SAS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Machine Learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Telecom</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Healthcare</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Banking</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">UN</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">SAS</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4195685-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><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="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Wirtschaftsinformatik</subfield><subfield code="0">(DE-588)4112736-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">Apress L.P.</subfield><subfield code="0">(DE-588)1065538766</subfield><subfield code="4">pbl</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Elektronische Reproduktion</subfield><subfield code="z">9781484235256</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-1-4842-3525-6</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">X:MVB</subfield><subfield code="q">text/html</subfield><subfield code="u">http://deposit.dnb.de/cgi-bin/dokserv?id=86af5347808c45489e6c61660d483fe0&prov=M&dok_var=1&dok_ext=htm</subfield><subfield code="3">Inhaltstext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">X:MVB</subfield><subfield code="u">http://www.springer.com/</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-031255231</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="883" ind1="1" ind2=" "><subfield code="8">2\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></record></collection> |
| id | DE-604.BV045871909 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:29:01Z |
| institution | BVB |
| institution_GND | (DE-588)1065538766 |
| isbn | 9781484235249 148423524X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031255231 |
| oclc_num | 1110073075 |
| open_access_boolean | |
| owner | DE-11 |
| owner_facet | DE-11 |
| physical | XX, 404 Seiten Diagramme 25.4 cm x 17.8 cm |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | APRESS |
| record_format | marc |
| series2 | For professionals by professionals |
| spelling | Gupta, Deepti Verfasser aut Applied analytics through case studies using SAS & R implementing predictive models and machine learning techniques Deepti Gupta New York APRESS 2018 © 2018 XX, 404 Seiten Diagramme 25.4 cm x 17.8 cm txt rdacontent n rdamedia nc rdacarrier For professionals by professionals Auf der Coverrückseite: Shelve in: Databases / general, User level: Intermediate - advanced SAS Programm (DE-588)4195685-0 gnd rswk-swf Wirtschaftsinformatik (DE-588)4112736-5 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf UN UM KJQ Business Analytics SAS Machine Learning Telecom Healthcare Banking Big Data (DE-588)4802620-7 s Datenanalyse (DE-588)4123037-1 s SAS Programm (DE-588)4195685-0 s R Programm (DE-588)4705956-4 s 1\p DE-604 Wirtschaftsinformatik (DE-588)4112736-5 s Statistik (DE-588)4056995-0 s 2\p DE-604 Apress L.P. (DE-588)1065538766 pbl Elektronische Reproduktion 9781484235256 Erscheint auch als Online-Ausgabe 978-1-4842-3525-6 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=86af5347808c45489e6c61660d483fe0&prov=M&dok_var=1&dok_ext=htm Inhaltstext X:MVB http://www.springer.com/ 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 | Gupta, Deepti Applied analytics through case studies using SAS & R implementing predictive models and machine learning techniques SAS Programm (DE-588)4195685-0 gnd Wirtschaftsinformatik (DE-588)4112736-5 gnd Big Data (DE-588)4802620-7 gnd Statistik (DE-588)4056995-0 gnd Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4195685-0 (DE-588)4112736-5 (DE-588)4802620-7 (DE-588)4056995-0 (DE-588)4123037-1 (DE-588)4705956-4 |
| title | Applied analytics through case studies using SAS & R implementing predictive models and machine learning techniques |
| title_auth | Applied analytics through case studies using SAS & R implementing predictive models and machine learning techniques |
| title_exact_search | Applied analytics through case studies using SAS & R implementing predictive models and machine learning techniques |
| title_full | Applied analytics through case studies using SAS & R implementing predictive models and machine learning techniques Deepti Gupta |
| title_fullStr | Applied analytics through case studies using SAS & R implementing predictive models and machine learning techniques Deepti Gupta |
| title_full_unstemmed | Applied analytics through case studies using SAS & R implementing predictive models and machine learning techniques Deepti Gupta |
| title_short | Applied analytics through case studies using SAS & R |
| title_sort | applied analytics through case studies using sas r implementing predictive models and machine learning techniques |
| title_sub | implementing predictive models and machine learning techniques |
| topic | SAS Programm (DE-588)4195685-0 gnd Wirtschaftsinformatik (DE-588)4112736-5 gnd Big Data (DE-588)4802620-7 gnd Statistik (DE-588)4056995-0 gnd Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | SAS Programm Wirtschaftsinformatik Big Data Statistik Datenanalyse R Programm |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=86af5347808c45489e6c61660d483fe0&prov=M&dok_var=1&dok_ext=htm http://www.springer.com/ |
| work_keys_str_mv | AT guptadeepti appliedanalyticsthroughcasestudiesusingsasrimplementingpredictivemodelsandmachinelearningtechniques AT apresslp appliedanalyticsthroughcasestudiesusingsasrimplementingpredictivemodelsandmachinelearningtechniques |