Data Mining / / Jürgen Cleve, Uwe Lämmel.
Data Mining encompasses methods and algorithms to disclose previously unknown connections within large quantities of data. This book covers the substance of a one-semester university or technical college course and is conceived as a classic textbook. It includes summaries, numerous examples, and pra...
Saved in:
Superior document: | Title is part of eBook package: De Gruyter DG OWV ebook Paket Lehrbücher Technik und Informatik 2020 |
---|---|
VerfasserIn: | |
Place / Publishing House: | München ;, Wien : : De Gruyter Oldenbourg, , [2020] ©2020 |
Year of Publication: | 2020 |
Edition: | 3. Aufl. |
Language: | German |
Series: | De Gruyter Studium
|
Online Access: | |
Physical Description: | 1 online resource (XII, 320 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
9783110676273 |
---|---|
lccn |
2020945573 |
ctrlnum |
(DE-B1597)536263 (OCoLC)1202623153 |
collection |
bib_alma |
record_format |
marc |
spelling |
Cleve, Jürgen, author. aut http://id.loc.gov/vocabulary/relators/aut Data Mining / Jürgen Cleve, Uwe Lämmel. 3. Aufl. München ; Wien : De Gruyter Oldenbourg, [2020] ©2020 1 online resource (XII, 320 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda De Gruyter Studium Frontmatter -- Vorwort -- Inhalt -- 1. Einführung -- 2. Grundlagen des Data Mining -- 3. Anwendungsklassen -- 4. Wissensrepräsentation -- 5. Klassifikation -- 6. Cluster-Analyse -- 7. Assoziationsanalyse -- 8. Datenvorbereitung -- 9. Bewertung -- 10. Eine Data-Mining-Aufgabe -- A Anhang – Beispieldaten -- Literatur -- Stichwortverzeichnis restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star Data Mining encompasses methods and algorithms to disclose previously unknown connections within large quantities of data. This book covers the substance of a one-semester university or technical college course and is conceived as a classic textbook. It includes summaries, numerous examples, and practice exercises. The third edition also includes themes related to AI, Big Data, data science, and machine learning. Data Mining liefert Methoden und Algorithmen, um bisher unbekannte Zusammenhänge bei großen Datenmengen zu entdecken.Das Buch deckt den Stoff einer einsemestrigen Vorlesung an Universitäten oder Fachhochschulen ab und ist als klassisches Lehrbuch konzipiert. Es bietet Zusammenfassungen, zahlreiche Beispiele und Übungsaufgaben. Die dritte Auflage bettet die Themen ein in ASpekte wie KI, Big Data, Data Science, Machine Learning. Issued also in print. Mode of access: Internet via World Wide Web. In German. Description based on online resource; title from PDF title page (publisher's Web site, viewed 27. Jan 2023) Big Data. Data Mining. COMPUTERS / Database Management / Data Mining. bisacsh Lämmel, Uwe , author. aut http://id.loc.gov/vocabulary/relators/aut Title is part of eBook package: De Gruyter DG OWV ebook Paket Lehrbücher Technik und Informatik 2020 9783110704693 ZDB-23-OTI Title is part of eBook package: De Gruyter DG Plus DeG Package 2020 Part 1 9783110696271 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2020 9783110704518 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2020 9783110704617 ZDB-23-DEI EPUB 9783110677294 print 9783110676235 https://doi.org/10.1515/9783110676273 https://www.degruyter.com/isbn/9783110676273 Cover https://www.degruyter.com/document/cover/isbn/9783110676273/original |
language |
German |
format |
eBook |
author |
Cleve, Jürgen, Cleve, Jürgen, Lämmel, Uwe , |
spellingShingle |
Cleve, Jürgen, Cleve, Jürgen, Lämmel, Uwe , Data Mining / De Gruyter Studium Frontmatter -- Vorwort -- Inhalt -- 1. Einführung -- 2. Grundlagen des Data Mining -- 3. Anwendungsklassen -- 4. Wissensrepräsentation -- 5. Klassifikation -- 6. Cluster-Analyse -- 7. Assoziationsanalyse -- 8. Datenvorbereitung -- 9. Bewertung -- 10. Eine Data-Mining-Aufgabe -- A Anhang – Beispieldaten -- Literatur -- Stichwortverzeichnis |
author_facet |
Cleve, Jürgen, Cleve, Jürgen, Lämmel, Uwe , Lämmel, Uwe , Lämmel, Uwe , |
author_variant |
j c jc j c jc u l ul |
author_role |
VerfasserIn VerfasserIn VerfasserIn |
author2 |
Lämmel, Uwe , Lämmel, Uwe , |
author2_variant |
u l ul |
author2_role |
VerfasserIn VerfasserIn |
author_sort |
Cleve, Jürgen, |
title |
Data Mining / |
title_full |
Data Mining / Jürgen Cleve, Uwe Lämmel. |
title_fullStr |
Data Mining / Jürgen Cleve, Uwe Lämmel. |
title_full_unstemmed |
Data Mining / Jürgen Cleve, Uwe Lämmel. |
title_auth |
Data Mining / |
title_alt |
Frontmatter -- Vorwort -- Inhalt -- 1. Einführung -- 2. Grundlagen des Data Mining -- 3. Anwendungsklassen -- 4. Wissensrepräsentation -- 5. Klassifikation -- 6. Cluster-Analyse -- 7. Assoziationsanalyse -- 8. Datenvorbereitung -- 9. Bewertung -- 10. Eine Data-Mining-Aufgabe -- A Anhang – Beispieldaten -- Literatur -- Stichwortverzeichnis |
title_new |
Data Mining / |
title_sort |
data mining / |
series |
De Gruyter Studium |
series2 |
De Gruyter Studium |
publisher |
De Gruyter Oldenbourg, |
publishDate |
2020 |
physical |
1 online resource (XII, 320 p.) Issued also in print. |
edition |
3. Aufl. |
contents |
Frontmatter -- Vorwort -- Inhalt -- 1. Einführung -- 2. Grundlagen des Data Mining -- 3. Anwendungsklassen -- 4. Wissensrepräsentation -- 5. Klassifikation -- 6. Cluster-Analyse -- 7. Assoziationsanalyse -- 8. Datenvorbereitung -- 9. Bewertung -- 10. Eine Data-Mining-Aufgabe -- A Anhang – Beispieldaten -- Literatur -- Stichwortverzeichnis |
isbn |
9783110676273 9783110704693 9783110696271 9783110704518 9783110704617 9783110677294 9783110676235 |
callnumber-first |
Q - Science |
callnumber-subject |
QA - Mathematics |
callnumber-label |
QA76 |
callnumber-sort |
QA 276.9 D343 |
url |
https://doi.org/10.1515/9783110676273 https://www.degruyter.com/isbn/9783110676273 https://www.degruyter.com/document/cover/isbn/9783110676273/original |
illustrated |
Not Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
006 - Special computer methods |
dewey-full |
006.3/12 |
dewey-sort |
16.3 212 |
dewey-raw |
006.3/12 |
dewey-search |
006.3/12 |
doi_str_mv |
10.1515/9783110676273 |
oclc_num |
1202623153 |
work_keys_str_mv |
AT clevejurgen datamining AT lammeluwe datamining |
status_str |
n |
ids_txt_mv |
(DE-B1597)536263 (OCoLC)1202623153 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Title is part of eBook package: De Gruyter DG OWV ebook Paket Lehrbücher Technik und Informatik 2020 Title is part of eBook package: De Gruyter DG Plus DeG Package 2020 Part 1 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2020 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2020 |
is_hierarchy_title |
Data Mining / |
container_title |
Title is part of eBook package: De Gruyter DG OWV ebook Paket Lehrbücher Technik und Informatik 2020 |
author2_original_writing_str_mv |
noLinkedField noLinkedField |
_version_ |
1770177748378058752 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04247nam a22008055i 4500</leader><controlfield tag="001">9783110676273</controlfield><controlfield tag="003">DE-B1597</controlfield><controlfield tag="005">20230127011820.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr || ||||||||</controlfield><controlfield tag="008">230127t20202020gw fo d z ger d</controlfield><datafield tag="010" ind1=" " ind2=" "><subfield code="a">2020945573</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783110676273</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/9783110676273</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-B1597)536263</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1202623153</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-B1597</subfield><subfield code="b">eng</subfield><subfield code="c">DE-B1597</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">ger</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">DE</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.9.D343</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM021030</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">006.3/12</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 530</subfield><subfield code="q">SEPA</subfield><subfield code="2">rvk</subfield><subfield code="0">(DE-625)rvk/143679:</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Cleve, Jürgen, </subfield><subfield code="e">author.</subfield><subfield code="4">aut</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Data Mining /</subfield><subfield code="c">Jürgen Cleve, Uwe Lämmel.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">3. Aufl.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">München ;</subfield><subfield code="a">Wien : </subfield><subfield code="b">De Gruyter Oldenbourg, </subfield><subfield code="c">[2020]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (XII, 320 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">text file</subfield><subfield code="b">PDF</subfield><subfield code="2">rda</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">De Gruyter Studium</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="t">Frontmatter -- </subfield><subfield code="t">Vorwort -- </subfield><subfield code="t">Inhalt -- </subfield><subfield code="t">1. Einführung -- </subfield><subfield code="t">2. Grundlagen des Data Mining -- </subfield><subfield code="t">3. Anwendungsklassen -- </subfield><subfield code="t">4. Wissensrepräsentation -- </subfield><subfield code="t">5. Klassifikation -- </subfield><subfield code="t">6. Cluster-Analyse -- </subfield><subfield code="t">7. Assoziationsanalyse -- </subfield><subfield code="t">8. Datenvorbereitung -- </subfield><subfield code="t">9. Bewertung -- </subfield><subfield code="t">10. Eine Data-Mining-Aufgabe -- </subfield><subfield code="t">A Anhang – Beispieldaten -- </subfield><subfield code="t">Literatur -- </subfield><subfield code="t">Stichwortverzeichnis</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="a">restricted access</subfield><subfield code="u">http://purl.org/coar/access_right/c_16ec</subfield><subfield code="f">online access with authorization</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Data Mining encompasses methods and algorithms to disclose previously unknown connections within large quantities of data. This book covers the substance of a one-semester university or technical college course and is conceived as a classic textbook. It includes summaries, numerous examples, and practice exercises. The third edition also includes themes related to AI, Big Data, data science, and machine learning.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Data Mining liefert Methoden und Algorithmen, um bisher unbekannte Zusammenhänge bei großen Datenmengen zu entdecken.Das Buch deckt den Stoff einer einsemestrigen Vorlesung an Universitäten oder Fachhochschulen ab und ist als klassisches Lehrbuch konzipiert. Es bietet Zusammenfassungen, zahlreiche Beispiele und Übungsaufgaben. Die dritte Auflage bettet die Themen ein in ASpekte wie KI, Big Data, Data Science, Machine Learning.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Issued also in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: Internet via World Wide Web.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In German.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 27. Jan 2023)</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 Mining.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Database Management / Data Mining.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lämmel, Uwe , </subfield><subfield code="e">author.</subfield><subfield code="4">aut</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">DG OWV ebook Paket Lehrbücher Technik und Informatik 2020</subfield><subfield code="z">9783110704693</subfield><subfield code="o">ZDB-23-OTI</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">DG Plus DeG Package 2020 Part 1</subfield><subfield code="z">9783110696271</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">EBOOK PACKAGE COMPLETE 2020</subfield><subfield code="z">9783110704518</subfield><subfield code="o">ZDB-23-DGG</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">EBOOK PACKAGE Engineering, Computer Sciences 2020</subfield><subfield code="z">9783110704617</subfield><subfield code="o">ZDB-23-DEI</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">EPUB</subfield><subfield code="z">9783110677294</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">print</subfield><subfield code="z">9783110676235</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/9783110676273</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.degruyter.com/isbn/9783110676273</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="3">Cover</subfield><subfield code="u">https://www.degruyter.com/document/cover/isbn/9783110676273/original</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">978-3-11-069627-1 DG Plus DeG Package 2020 Part 1</subfield><subfield code="b">2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_BACKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_CL_CHCOMSGSEN</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_CL_LAEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_DGALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_SSHALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_STMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV-deGruyter-alles</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA11SSHE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA12STME</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA5EBK</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-23-DEI</subfield><subfield code="b">2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-23-DGG</subfield><subfield code="b">2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-23-OTI</subfield><subfield code="b">2020</subfield></datafield></record></collection> |