Machine learning for data streams with practical examples in MOA

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Bifet, Albert (VerfasserIn), Gavaldà, Ricard (VerfasserIn), Holmes, Geoff (VerfasserIn), Pfahringer, Bernhard (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Cambridge, Massachusetts ; London, England The MIT Press [2017]
Schriftenreihe:Adaptive computation and machine learning
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

MARC

LEADER 00000nam a2200000 c 4500
001 BV044789614
003 DE-604
005 20180824
007 t|
008 180220s2017 xxua||| |||| 00||| eng d
010 |a 017038927 
020 |a 9780262037792  |9 978-0-262-03779-2 
035 |a (OCoLC)1032682331 
035 |a (DE-599)BVBBV044789614 
040 |a DE-604  |b ger  |e rda 
041 0 |a eng 
044 |a xxu  |c US 
049 |a DE-91G  |a DE-863  |a DE-11  |a DE-384 
050 0 |a QA76.9.D343 
082 0 |a 006.3/12  |2 23 
084 |a ST 270  |0 (DE-625)143638:  |2 rvk 
084 |a ST 300  |0 (DE-625)143650:  |2 rvk 
084 |a ST 302  |0 (DE-625)143652:  |2 rvk 
084 |a ST 530  |0 (DE-625)143679:  |2 rvk 
084 |a DAT 450f  |2 stub 
084 |a DAT 708f  |2 stub 
084 |a DAT 332f  |2 stub 
100 1 |a Bifet, Albert  |e Verfasser  |4 aut 
245 1 0 |a Machine learning for data streams  |b with practical examples in MOA  |c Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer 
264 1 |a Cambridge, Massachusetts ; London, England  |b The MIT Press  |c [2017] 
300 |a xxi, 262 Seiten  |b Illustrationen, Diagramme 
336 |b txt  |2 rdacontent 
337 |b n  |2 rdamedia 
338 |b nc  |2 rdacarrier 
490 0 |a Adaptive computation and machine learning 
500 |a Includes bibliographical references and index 
650 4 |a Data mining 
650 4 |a Streaming technology (Telecommunications) 
650 0 7 |a Data Mining  |0 (DE-588)4428654-5  |2 gnd  |9 rswk-swf 
650 0 7 |a Datenstrom  |0 (DE-588)4410055-3  |2 gnd  |9 rswk-swf 
650 0 7 |a Maschinelles Lernen  |0 (DE-588)4193754-5  |2 gnd  |9 rswk-swf 
689 0 0 |a Maschinelles Lernen  |0 (DE-588)4193754-5  |D s 
689 0 1 |a Datenstrom  |0 (DE-588)4410055-3  |D s 
689 0 2 |a Data Mining  |0 (DE-588)4428654-5  |D s 
689 0 |5 DE-604 
700 1 |a Gavaldà, Ricard  |e Verfasser  |4 aut 
700 1 |a Holmes, Geoff  |e Verfasser  |4 aut 
700 1 |a Pfahringer, Bernhard  |e Verfasser  |0 (DE-588)1079932925  |4 aut 
943 1 |a oai:aleph.bib-bvb.de:BVB01-030184868 

Datensatz im Suchindex

DE-BY-TUM_call_number 0102 DAT 450f 2018 A 2386
DE-BY-TUM_katkey 2306535
DE-BY-TUM_location 01
DE-BY-TUM_media_number 040008615143
_version_ 1820853127503413249
any_adam_object
author Bifet, Albert
Gavaldà, Ricard
Holmes, Geoff
Pfahringer, Bernhard
author_GND (DE-588)1079932925
author_facet Bifet, Albert
Gavaldà, Ricard
Holmes, Geoff
Pfahringer, Bernhard
author_role aut
aut
aut
aut
author_sort Bifet, Albert
author_variant a b ab
r g rg
g h gh
b p bp
building Verbundindex
bvnumber BV044789614
callnumber-first Q - Science
callnumber-label QA76
callnumber-raw QA76.9.D343
callnumber-search QA76.9.D343
callnumber-sort QA 276.9 D343
callnumber-subject QA - Mathematics
classification_rvk ST 270
ST 300
ST 302
ST 530
classification_tum DAT 450f
DAT 708f
DAT 332f
ctrlnum (OCoLC)1032682331
(DE-599)BVBBV044789614
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
format Book
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01993nam a2200553 c 4500</leader><controlfield tag="001">BV044789614</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20180824 </controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">180220s2017 xxua||| |||| 00||| eng d</controlfield><datafield tag="010" ind1=" " ind2=" "><subfield code="a">017038927</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780262037792</subfield><subfield code="9">978-0-262-03779-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1032682331</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV044789614</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">US</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91G</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-11</subfield><subfield code="a">DE-384</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QA76.9.D343</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">ST 270</subfield><subfield code="0">(DE-625)143638:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="0">(DE-625)143650:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 302</subfield><subfield code="0">(DE-625)143652:</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">DAT 450f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 708f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 332f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bifet, Albert</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine learning for data streams</subfield><subfield code="b">with practical examples in MOA</subfield><subfield code="c">Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge, Massachusetts ; London, England</subfield><subfield code="b">The MIT Press</subfield><subfield code="c">[2017]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xxi, 262 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</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">Adaptive computation and machine learning</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Streaming technology (Telecommunications)</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">Datenstrom</subfield><subfield code="0">(DE-588)4410055-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Datenstrom</subfield><subfield code="0">(DE-588)4410055-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><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=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gavaldà, Ricard</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Holmes, Geoff</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pfahringer, Bernhard</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1079932925</subfield><subfield code="4">aut</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030184868</subfield></datafield></record></collection>
id DE-604.BV044789614
illustrated Illustrated
indexdate 2024-12-24T06:20:57Z
institution BVB
isbn 9780262037792
language English
lccn 017038927
oai_aleph_id oai:aleph.bib-bvb.de:BVB01-030184868
oclc_num 1032682331
open_access_boolean
owner DE-91G
DE-BY-TUM
DE-863
DE-BY-FWS
DE-11
DE-384
owner_facet DE-91G
DE-BY-TUM
DE-863
DE-BY-FWS
DE-11
DE-384
physical xxi, 262 Seiten Illustrationen, Diagramme
publishDate 2017
publishDateSearch 2017
publishDateSort 2017
publisher The MIT Press
record_format marc
series2 Adaptive computation and machine learning
spellingShingle Bifet, Albert
Gavaldà, Ricard
Holmes, Geoff
Pfahringer, Bernhard
Machine learning for data streams with practical examples in MOA
Data mining
Streaming technology (Telecommunications)
Data Mining (DE-588)4428654-5 gnd
Datenstrom (DE-588)4410055-3 gnd
Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND (DE-588)4428654-5
(DE-588)4410055-3
(DE-588)4193754-5
title Machine learning for data streams with practical examples in MOA
title_auth Machine learning for data streams with practical examples in MOA
title_exact_search Machine learning for data streams with practical examples in MOA
title_full Machine learning for data streams with practical examples in MOA Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer
title_fullStr Machine learning for data streams with practical examples in MOA Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer
title_full_unstemmed Machine learning for data streams with practical examples in MOA Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer
title_short Machine learning for data streams
title_sort machine learning for data streams with practical examples in moa
title_sub with practical examples in MOA
topic Data mining
Streaming technology (Telecommunications)
Data Mining (DE-588)4428654-5 gnd
Datenstrom (DE-588)4410055-3 gnd
Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet Data mining
Streaming technology (Telecommunications)
Data Mining
Datenstrom
Maschinelles Lernen
work_keys_str_mv AT bifetalbert machinelearningfordatastreamswithpracticalexamplesinmoa
AT gavaldaricard machinelearningfordatastreamswithpracticalexamplesinmoa
AT holmesgeoff machinelearningfordatastreamswithpracticalexamplesinmoa
AT pfahringerbernhard machinelearningfordatastreamswithpracticalexamplesinmoa