Skip to content
TUM Library
OPAC
Universitätsbibliothek
Technische Universität München
  • Temporarily saved: 0 temporarily saved (Full)
  • Help
    • Contact
    • Search Tips
    • Interlibary loan info
  • Chat
  • Tools
    • Search History
    • Open Interlibary Loan
    • Recommend a Purchase
  • Deutsch
  • Account

    Account

    • Borrowed Items
    • Requested Items
    • Fees
    • Profile
    • Search History
  • Log Out
  • Login
  • Books & Journals
  • Papers
Advanced
  • Dimensionality Reduction in Da...
  • Cite this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
    • Export to BibTeX
    • Export to RIS
  • Add to favorites
  • Save temporarily Remove from Book Bag
  • Permalink
Export Ready — 
Cover Image
Dimensionality Reduction in Data Science:
Saved in:
Bibliographic Details
Other Authors: Garzon, Max (Editor), Yang, Ching-Chi (Editor), Venugopal, Deepak (Editor), Kumar, Nirman (Editor), Jana, Kalidas (Editor), Deng, Lih-Yuan (Editor)
Format: Electronic eBook
Language:English
Published: Cham Springer International Publishing 2022
Cham Springer
Edition:1st ed. 2022
Subjects:
Data Mining and Knowledge Discovery
Machine Learning
Biomedical Engineering and Bioengineering
Data mining
Machine learning
Biomedical engineering
Links:https://doi.org/10.1007/978-3-031-05371-9
https://doi.org/10.1007/978-3-031-05371-9
https://doi.org/10.1007/978-3-031-05371-9
https://doi.org/10.1007/978-3-031-05371-9
https://doi.org/10.1007/978-3-031-05371-9
https://doi.org/10.1007/978-3-031-05371-9
https://doi.org/10.1007/978-3-031-05371-9
https://doi.org/10.1007/978-3-031-05371-9
https://doi.org/10.1007/978-3-031-05371-9
https://doi.org/10.1007/978-3-031-05371-9
https://doi.org/10.1007/978-3-031-05371-9
https://doi.org/10.1007/978-3-031-05371-9
https://doi.org/10.1007/978-3-031-05371-9
https://doi.org/10.1007/978-3-031-05371-9
https://doi.org/10.1007/978-3-031-05371-9
https://doi.org/10.1007/978-3-031-05371-9
https://doi.org/10.1007/978-3-031-05371-9
Physical Description:1 Online-Ressource (XI, 265 p. 62 illus)
ISBN:9783031053719
DOI:10.1007/978-3-031-05371-9
Staff View

MARC

LEADER 00000nam a2200000zc 4500
001 BV048385104
003 DE-604
005 00000000000000.0
007 cr|uuu---uuuuu
008 220801s2022 xx o|||| 00||| eng d
020 |a 9783031053719  |c Online  |9 978-3-031-05371-9 
024 7 |a 10.1007/978-3-031-05371-9  |2 doi 
035 |a (ZDB-2-SMA)9783031053719 
035 |a (OCoLC)1339079896 
035 |a (DE-599)BVBBV048385104 
040 |a DE-604  |b ger  |e rda 
041 0 |a eng 
049 |a DE-91  |a DE-19  |a DE-898  |a DE-861  |a DE-188  |a DE-523  |a DE-859  |a DE-863  |a DE-1050  |a DE-20  |a DE-862  |a DE-92  |a DE-824  |a DE-703  |a DE-706  |a DE-739  |a DE-634 
082 0 |a 006.312  |2 23 
084 |a MAT 000  |2 stub 
245 1 0 |a Dimensionality Reduction in Data Science  |c edited by Max Garzon, Ching-Chi Yang, Deepak Venugopal, Nirman Kumar, Kalidas Jana, Lih-Yuan Deng 
250 |a 1st ed. 2022 
264 1 |a Cham  |b Springer International Publishing  |c 2022 
264 1 |a Cham  |b Springer 
300 |a 1 Online-Ressource (XI, 265 p. 62 illus) 
336 |b txt  |2 rdacontent 
337 |b c  |2 rdamedia 
338 |b cr  |2 rdacarrier 
650 4 |a Data Mining and Knowledge Discovery 
650 4 |a Machine Learning 
650 4 |a Biomedical Engineering and Bioengineering 
650 4 |a Data mining 
650 4 |a Machine learning 
650 4 |a Biomedical engineering 
700 1 |a Garzon, Max  |4 edt 
700 1 |a Yang, Ching-Chi  |4 edt 
700 1 |a Venugopal, Deepak  |4 edt 
700 1 |a Kumar, Nirman  |4 edt 
700 1 |a Jana, Kalidas  |4 edt 
700 1 |a Deng, Lih-Yuan  |4 edt 
776 0 8 |i Erscheint auch als  |n Druck-Ausgabe  |z 978-3-031-05370-2 
776 0 8 |i Erscheint auch als  |n Druck-Ausgabe  |z 978-3-031-05372-6 
776 0 8 |i Erscheint auch als  |n Druck-Ausgabe  |z 978-3-031-05373-3 
856 4 0 |u https://doi.org/10.1007/978-3-031-05371-9  |x Verlag  |z URL des Erstveröffentlichers  |3 Volltext 
912 |a ZDB-2-SMA 
940 1 |q ZDB-2-SMA_2022 
943 1 |a oai:aleph.bib-bvb.de:BVB01-033763899 
966 e |u https://doi.org/10.1007/978-3-031-05371-9  |l DE-634  |p ZDB-2-SMA  |x Verlag  |3 Volltext 
966 e |u https://doi.org/10.1007/978-3-031-05371-9  |l DE-1050  |p ZDB-2-SMA  |x Verlag  |3 Volltext 
966 e |u https://doi.org/10.1007/978-3-031-05371-9  |l DE-92  |p ZDB-2-SMA  |x Verlag  |3 Volltext 
966 e |u https://doi.org/10.1007/978-3-031-05371-9  |l DE-898  |p ZDB-2-SMA  |x Verlag  |3 Volltext 
966 e |u https://doi.org/10.1007/978-3-031-05371-9  |l DE-859  |p ZDB-2-SMA  |x Verlag  |3 Volltext 
966 e |u https://doi.org/10.1007/978-3-031-05371-9  |l DE-861  |p ZDB-2-SMA  |x Verlag  |3 Volltext 
966 e |u https://doi.org/10.1007/978-3-031-05371-9  |l DE-863  |p ZDB-2-SMA  |x Verlag  |3 Volltext 
966 e |u https://doi.org/10.1007/978-3-031-05371-9  |l DE-862  |p ZDB-2-SMA  |x Verlag  |3 Volltext 
966 e |u https://doi.org/10.1007/978-3-031-05371-9  |l DE-523  |p ZDB-2-SMA  |x Verlag  |3 Volltext 
966 e |u https://doi.org/10.1007/978-3-031-05371-9  |l DE-91  |p ZDB-2-SMA  |x Verlag  |3 Volltext 
966 e |u https://doi.org/10.1007/978-3-031-05371-9  |l DE-19  |p ZDB-2-SMA  |x Verlag  |3 Volltext 
966 e |u https://doi.org/10.1007/978-3-031-05371-9  |l DE-703  |p ZDB-2-SMA  |x Verlag  |3 Volltext 
966 e |u https://doi.org/10.1007/978-3-031-05371-9  |l DE-20  |p ZDB-2-SMA  |x Verlag  |3 Volltext 
966 e |u https://doi.org/10.1007/978-3-031-05371-9  |l DE-706  |p ZDB-2-SMA  |x Verlag  |3 Volltext 
966 e |u https://doi.org/10.1007/978-3-031-05371-9  |l DE-824  |p ZDB-2-SMA  |x Verlag  |3 Volltext 
966 e |u https://doi.org/10.1007/978-3-031-05371-9  |l DE-739  |p ZDB-2-SMA  |x Verlag  |3 Volltext 

Record in the Search Index

DE-BY-OTHR_katkey 6598130
DE-BY-TUM_katkey 2683807
_version_ 1831257656511168513
any_adam_object
author2 Garzon, Max
Yang, Ching-Chi
Venugopal, Deepak
Kumar, Nirman
Jana, Kalidas
Deng, Lih-Yuan
author2_role edt
edt
edt
edt
edt
edt
author2_variant m g mg
c c y ccy
d v dv
n k nk
k j kj
l y d lyd
author_facet Garzon, Max
Yang, Ching-Chi
Venugopal, Deepak
Kumar, Nirman
Jana, Kalidas
Deng, Lih-Yuan
building Verbundindex
bvnumber BV048385104
classification_tum MAT 000
collection ZDB-2-SMA
ctrlnum (ZDB-2-SMA)9783031053719
(OCoLC)1339079896
(DE-599)BVBBV048385104
dewey-full 006.312
dewey-hundreds 000 - Computer science, information, general works
dewey-ones 006 - Special computer methods
dewey-raw 006.312
dewey-search 006.312
dewey-sort 16.312
dewey-tens 000 - Computer science, information, general works
discipline Informatik
Mathematik
doi_str_mv 10.1007/978-3-031-05371-9
edition 1st ed. 2022
format Electronic
eBook
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03480nam a2200721zc 4500</leader><controlfield tag="001">BV048385104</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220801s2022 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783031053719</subfield><subfield code="c">Online</subfield><subfield code="9">978-3-031-05371-9</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-031-05371-9</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-SMA)9783031053719</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1339079896</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048385104</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-91</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-861</subfield><subfield code="a">DE-188</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-859</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-1050</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.312</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MAT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Dimensionality Reduction in Data Science</subfield><subfield code="c">edited by Max Garzon, Ching-Chi Yang, Deepak Venugopal, Nirman Kumar, Kalidas Jana, Lih-Yuan Deng</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed. 2022</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer International Publishing</subfield><subfield code="c">2022</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XI, 265 p. 62 illus)</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="650" ind1=" " ind2="4"><subfield code="a">Data Mining and Knowledge Discovery</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine Learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biomedical Engineering and Bioengineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biomedical engineering</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Garzon, Max</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yang, Ching-Chi</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Venugopal, Deepak</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kumar, Nirman</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jana, Kalidas</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Deng, Lih-Yuan</subfield><subfield code="4">edt</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">978-3-031-05370-2</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">978-3-031-05372-6</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">978-3-031-05373-3</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</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-2-SMA</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-SMA_2022</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033763899</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</subfield><subfield code="l">DE-634</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</subfield><subfield code="l">DE-1050</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</subfield><subfield code="l">DE-92</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</subfield><subfield code="l">DE-898</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</subfield><subfield code="l">DE-859</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</subfield><subfield code="l">DE-861</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</subfield><subfield code="l">DE-863</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</subfield><subfield code="l">DE-862</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</subfield><subfield code="l">DE-523</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</subfield><subfield code="l">DE-91</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</subfield><subfield code="l">DE-19</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</subfield><subfield code="l">DE-703</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</subfield><subfield code="l">DE-20</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</subfield><subfield code="l">DE-706</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</subfield><subfield code="l">DE-824</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-05371-9</subfield><subfield code="l">DE-739</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection>
id DE-604.BV048385104
illustrated Not Illustrated
indexdate 2024-12-20T19:43:26Z
institution BVB
isbn 9783031053719
language English
oai_aleph_id oai:aleph.bib-bvb.de:BVB01-033763899
oclc_num 1339079896
open_access_boolean
owner DE-91
DE-BY-TUM
DE-19
DE-BY-UBM
DE-898
DE-BY-UBR
DE-861
DE-188
DE-523
DE-859
DE-863
DE-BY-FWS
DE-1050
DE-20
DE-862
DE-BY-FWS
DE-92
DE-824
DE-703
DE-706
DE-739
DE-634
owner_facet DE-91
DE-BY-TUM
DE-19
DE-BY-UBM
DE-898
DE-BY-UBR
DE-861
DE-188
DE-523
DE-859
DE-863
DE-BY-FWS
DE-1050
DE-20
DE-862
DE-BY-FWS
DE-92
DE-824
DE-703
DE-706
DE-739
DE-634
physical 1 Online-Ressource (XI, 265 p. 62 illus)
psigel ZDB-2-SMA
ZDB-2-SMA_2022
publishDate 2022
publishDateSearch 2022
publishDateSort 2022
publisher Springer International Publishing
Springer
record_format marc
spellingShingle Dimensionality Reduction in Data Science
Data Mining and Knowledge Discovery
Machine Learning
Biomedical Engineering and Bioengineering
Data mining
Machine learning
Biomedical engineering
title Dimensionality Reduction in Data Science
title_auth Dimensionality Reduction in Data Science
title_exact_search Dimensionality Reduction in Data Science
title_full Dimensionality Reduction in Data Science edited by Max Garzon, Ching-Chi Yang, Deepak Venugopal, Nirman Kumar, Kalidas Jana, Lih-Yuan Deng
title_fullStr Dimensionality Reduction in Data Science edited by Max Garzon, Ching-Chi Yang, Deepak Venugopal, Nirman Kumar, Kalidas Jana, Lih-Yuan Deng
title_full_unstemmed Dimensionality Reduction in Data Science edited by Max Garzon, Ching-Chi Yang, Deepak Venugopal, Nirman Kumar, Kalidas Jana, Lih-Yuan Deng
title_short Dimensionality Reduction in Data Science
title_sort dimensionality reduction in data science
topic Data Mining and Knowledge Discovery
Machine Learning
Biomedical Engineering and Bioengineering
Data mining
Machine learning
Biomedical engineering
topic_facet Data Mining and Knowledge Discovery
Machine Learning
Biomedical Engineering and Bioengineering
Data mining
Machine learning
Biomedical engineering
url https://doi.org/10.1007/978-3-031-05371-9
work_keys_str_mv AT garzonmax dimensionalityreductionindatascience
AT yangchingchi dimensionalityreductionindatascience
AT venugopaldeepak dimensionalityreductionindatascience
AT kumarnirman dimensionalityreductionindatascience
AT janakalidas dimensionalityreductionindatascience
AT denglihyuan dimensionalityreductionindatascience
  • Availability
Order (Login required)
Read online
  • Legal Notice
  • Data Privacy
  • Accessibility Statement
  • First Level Hotline