Data science and analytics for SMEs: consulting, tools, practical use cases
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York
Apress
[2022]
|
| Subjects: | |
| Physical Description: | xvii, 335 Seiten Illustrationen |
| ISBN: | 9781484286692 |
Staff View
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV049421679 | ||
| 003 | DE-604 | ||
| 005 | 20240123 | ||
| 007 | t | ||
| 008 | 231120s2022 a||| |||| 00||| eng d | ||
| 020 | |a 9781484286692 |9 978-1-4842-8669-2 | ||
| 035 | |a (OCoLC)1422391800 | ||
| 035 | |a (DE-599)BVBBV049421679 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-N2 | ||
| 082 | 0 | |a 005.7 |2 23 | |
| 084 | |a QP 310 |0 (DE-625)141852: |2 rvk | ||
| 084 | |a ST 530 |0 (DE-625)143679: |2 rvk | ||
| 084 | |a WIR 000 |2 stub | ||
| 100 | 1 | |a Tolulope, Afolabi Ibukun |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Data science and analytics for SMEs |b consulting, tools, practical use cases |c Afolabi Ibukun Tolulope |
| 264 | 1 | |a New York |b Apress |c [2022] | |
| 300 | |a xvii, 335 Seiten |b Illustrationen | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Big Data | |
| 650 | 4 | |a Data Analysis and Big Data | |
| 650 | 4 | |a Data Mining and Knowledge Discovery | |
| 650 | 4 | |a Small Business | |
| 650 | 4 | |a Entrepreneurship | |
| 650 | 4 | |a Business Process Management | |
| 650 | 4 | |a Big data | |
| 650 | 4 | |a Quantitative research | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Small business | |
| 650 | 4 | |a Entrepreneurship | |
| 650 | 4 | |a New business enterprises | |
| 650 | 4 | |a Information technology—Management | |
| 650 | 0 | 7 | |a Klein- und Mittelbetrieb |0 (DE-588)4031031-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Data Science |0 (DE-588)1140936166 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Klein- und Mittelbetrieb |0 (DE-588)4031031-0 |D s |
| 689 | 0 | 1 | |a Data Science |0 (DE-588)1140936166 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-4842-8670-8 |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-034749191 | ||
Record in the Search Index
| _version_ | 1804186156299976704 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Tolulope, Afolabi Ibukun |
| author_facet | Tolulope, Afolabi Ibukun |
| author_role | aut |
| author_sort | Tolulope, Afolabi Ibukun |
| author_variant | a i t ai ait |
| building | Verbundindex |
| bvnumber | BV049421679 |
| classification_rvk | QP 310 ST 530 |
| classification_tum | WIR 000 |
| ctrlnum | (OCoLC)1422391800 (DE-599)BVBBV049421679 |
| dewey-full | 005.7 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.7 |
| dewey-search | 005.7 |
| dewey-sort | 15.7 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Wirtschaftswissenschaften |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01739nam a2200529 c 4500</leader><controlfield tag="001">BV049421679</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240123 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">231120s2022 a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781484286692</subfield><subfield code="9">978-1-4842-8669-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1422391800</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049421679</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="049" ind1=" " ind2=" "><subfield code="a">DE-N2</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.7</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">QP 310</subfield><subfield code="0">(DE-625)141852:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 530</subfield><subfield code="0">(DE-625)143679:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WIR 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Tolulope, Afolabi Ibukun</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Data science and analytics for SMEs</subfield><subfield code="b">consulting, tools, practical use cases</subfield><subfield code="c">Afolabi Ibukun Tolulope</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York</subfield><subfield code="b">Apress</subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xvii, 335 Seiten</subfield><subfield code="b">Illustrationen</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="650" ind1=" " ind2="4"><subfield code="a">Big Data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data Analysis and Big Data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data Mining and Knowledge Discovery</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Small Business</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Entrepreneurship</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Business Process Management</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Quantitative research</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Small business</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Entrepreneurship</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">New business enterprises</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Information technology—Management</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Klein- und Mittelbetrieb</subfield><subfield code="0">(DE-588)4031031-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Data Science</subfield><subfield code="0">(DE-588)1140936166</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Klein- und Mittelbetrieb</subfield><subfield code="0">(DE-588)4031031-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Data Science</subfield><subfield code="0">(DE-588)1140936166</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</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">978-1-4842-8670-8</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034749191</subfield></datafield></record></collection> |
| id | DE-604.BV049421679 |
| illustrated | Illustrated |
| index_date | 2024-07-03T23:07:51Z |
| indexdate | 2024-07-10T10:06:39Z |
| institution | BVB |
| isbn | 9781484286692 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034749191 |
| oclc_num | 1422391800 |
| open_access_boolean | |
| owner | DE-N2 |
| owner_facet | DE-N2 |
| physical | xvii, 335 Seiten Illustrationen |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Apress |
| record_format | marc |
| spelling | Tolulope, Afolabi Ibukun Verfasser aut Data science and analytics for SMEs consulting, tools, practical use cases Afolabi Ibukun Tolulope New York Apress [2022] xvii, 335 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Big Data Data Analysis and Big Data Data Mining and Knowledge Discovery Small Business Entrepreneurship Business Process Management Big data Quantitative research Data mining Small business New business enterprises Information technology—Management Klein- und Mittelbetrieb (DE-588)4031031-0 gnd rswk-swf Data Science (DE-588)1140936166 gnd rswk-swf Klein- und Mittelbetrieb (DE-588)4031031-0 s Data Science (DE-588)1140936166 s DE-604 Erscheint auch als Online-Ausgabe 978-1-4842-8670-8 |
| spellingShingle | Tolulope, Afolabi Ibukun Data science and analytics for SMEs consulting, tools, practical use cases Big Data Data Analysis and Big Data Data Mining and Knowledge Discovery Small Business Entrepreneurship Business Process Management Big data Quantitative research Data mining Small business New business enterprises Information technology—Management Klein- und Mittelbetrieb (DE-588)4031031-0 gnd Data Science (DE-588)1140936166 gnd |
| subject_GND | (DE-588)4031031-0 (DE-588)1140936166 |
| title | Data science and analytics for SMEs consulting, tools, practical use cases |
| title_auth | Data science and analytics for SMEs consulting, tools, practical use cases |
| title_exact_search | Data science and analytics for SMEs consulting, tools, practical use cases |
| title_exact_search_txtP | Data science and analytics for SMEs consulting, tools, practical use cases |
| title_full | Data science and analytics for SMEs consulting, tools, practical use cases Afolabi Ibukun Tolulope |
| title_fullStr | Data science and analytics for SMEs consulting, tools, practical use cases Afolabi Ibukun Tolulope |
| title_full_unstemmed | Data science and analytics for SMEs consulting, tools, practical use cases Afolabi Ibukun Tolulope |
| title_short | Data science and analytics for SMEs |
| title_sort | data science and analytics for smes consulting tools practical use cases |
| title_sub | consulting, tools, practical use cases |
| topic | Big Data Data Analysis and Big Data Data Mining and Knowledge Discovery Small Business Entrepreneurship Business Process Management Big data Quantitative research Data mining Small business New business enterprises Information technology—Management Klein- und Mittelbetrieb (DE-588)4031031-0 gnd Data Science (DE-588)1140936166 gnd |
| topic_facet | Big Data Data Analysis and Big Data Data Mining and Knowledge Discovery Small Business Entrepreneurship Business Process Management Big data Quantitative research Data mining Small business New business enterprises Information technology—Management Klein- und Mittelbetrieb Data Science |
| work_keys_str_mv | AT tolulopeafolabiibukun datascienceandanalyticsforsmesconsultingtoolspracticalusecases |