Computational trust models and machine learning / / edited by Xin Liu, Anwitaman Datta, Ee-Peng Lim.

"This book provides an introduction to computational trust models from a machine learning perspective. After reviewing traditional computational trust models, it discusses a new trend of applying formerly unused machine learning methodologies, such as supervised learning. The application of var...

Full description

Saved in:
Bibliographic Details
Superior document:Chapman & Hall/CRC machine learning & pattern recognition series
TeilnehmendeR:
Place / Publishing House:Boca Raton : : Taylor & Francis,, [2015]
2015
Year of Publication:2015
Language:English
Series:Chapman & Hall/CRC machine learning & pattern recognition series.
Online Access:
Physical Description:1 online resource (227 pages) :; illustrations.
Tags: Add Tag
No Tags, Be the first to tag this record!
id 5001683480
ctrlnum (MiAaPQ)5001683480
(Au-PeEL)EBL1683480
(CaPaEBR)ebr10961793
(CaONFJC)MIL695028
(OCoLC)894169847
collection bib_alma
record_format marc
spelling Computational trust models and machine learning / edited by Xin Liu, Anwitaman Datta, Ee-Peng Lim.
Boca Raton : Taylor & Francis, [2015]
2015
1 online resource (227 pages) : illustrations.
text rdacontent
computer rdamedia
online resource rdacarrier
Chapman & Hall/CRC machine learning & pattern recognition series
Includes bibliographical references and index.
"This book provides an introduction to computational trust models from a machine learning perspective. After reviewing traditional computational trust models, it discusses a new trend of applying formerly unused machine learning methodologies, such as supervised learning. The application of various learning algorithms, such as linear regression, matrix decomposition, and decision trees, illustrates how to translate the trust modeling problem into a (supervised) learning problem. The book also shows how novel machine learning techniques can improve the accuracy of trust assessment compared to traditional approaches"-- Provided by publisher.
Description based on print version record.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Computational intelligence.
Machine learning.
Truthfulness and falsehood Mathematical models.
Electronic books.
Liu, Xin (Mathematician), editor.
Datta, Anwitaman, editor.
Lim, Ee-Peng, editor.
Print version: Computational trust models and machine learning. Boca Raton : Taylor & Francis, [2015] Chapman & Hall/CRC machine learning & pattern recognition series 9781482226669 (DLC)10961793
ProQuest (Firm)
Chapman & Hall/CRC machine learning & pattern recognition series.
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1683480 Click to View
language English
format eBook
author2 Liu, Xin (Mathematician),
Datta, Anwitaman,
Lim, Ee-Peng,
author_facet Liu, Xin (Mathematician),
Datta, Anwitaman,
Lim, Ee-Peng,
author2_variant x l xl
a d ad
e p l epl
author2_role TeilnehmendeR
TeilnehmendeR
TeilnehmendeR
title Computational trust models and machine learning /
spellingShingle Computational trust models and machine learning /
Chapman & Hall/CRC machine learning & pattern recognition series
title_full Computational trust models and machine learning / edited by Xin Liu, Anwitaman Datta, Ee-Peng Lim.
title_fullStr Computational trust models and machine learning / edited by Xin Liu, Anwitaman Datta, Ee-Peng Lim.
title_full_unstemmed Computational trust models and machine learning / edited by Xin Liu, Anwitaman Datta, Ee-Peng Lim.
title_auth Computational trust models and machine learning /
title_new Computational trust models and machine learning /
title_sort computational trust models and machine learning /
series Chapman & Hall/CRC machine learning & pattern recognition series
series2 Chapman & Hall/CRC machine learning & pattern recognition series
publisher Taylor & Francis,
publishDate 2015
physical 1 online resource (227 pages) : illustrations.
isbn 9781482226676 (e-book)
9781482226669
callnumber-first Q - Science
callnumber-subject Q - General Science
callnumber-label Q342
callnumber-sort Q 3342 C675 42015
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1683480
illustrated Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 006 - Special computer methods
dewey-full 006.3/1
dewey-sort 16.3 11
dewey-raw 006.3/1
dewey-search 006.3/1
oclc_num 894169847
work_keys_str_mv AT liuxin computationaltrustmodelsandmachinelearning
AT dattaanwitaman computationaltrustmodelsandmachinelearning
AT limeepeng computationaltrustmodelsandmachinelearning
status_str n
ids_txt_mv (MiAaPQ)5001683480
(Au-PeEL)EBL1683480
(CaPaEBR)ebr10961793
(CaONFJC)MIL695028
(OCoLC)894169847
hierarchy_parent_title Chapman & Hall/CRC machine learning & pattern recognition series
is_hierarchy_title Computational trust models and machine learning /
container_title Chapman & Hall/CRC machine learning & pattern recognition series
author2_original_writing_str_mv noLinkedField
noLinkedField
noLinkedField
_version_ 1792330779543470081
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02719nam a2200493 i 4500</leader><controlfield tag="001">5001683480</controlfield><controlfield tag="003">MiAaPQ</controlfield><controlfield tag="005">20200520144314.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">140718t20152015fluad ob 001 0 eng|d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781482226669 (hardback)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781482226676 (e-book)</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)5001683480</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL1683480</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaPaEBR)ebr10961793</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaONFJC)MIL695028</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)894169847</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">Q342</subfield><subfield code="b">.C675 2015</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3/1</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Computational trust models and machine learning /</subfield><subfield code="c">edited by Xin Liu, Anwitaman Datta, Ee-Peng Lim.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Boca Raton :</subfield><subfield code="b">Taylor &amp; Francis,</subfield><subfield code="c">[2015]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (227 pages) :</subfield><subfield code="b">illustrations.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Chapman &amp; Hall/CRC machine learning &amp; pattern recognition series</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"This book provides an introduction to computational trust models from a machine learning perspective. After reviewing traditional computational trust models, it discusses a new trend of applying formerly unused machine learning methodologies, such as supervised learning. The application of various learning algorithms, such as linear regression, matrix decomposition, and decision trees, illustrates how to translate the trust modeling problem into a (supervised) learning problem. The book also shows how novel machine learning techniques can improve the accuracy of trust assessment compared to traditional approaches"--</subfield><subfield code="c">Provided by publisher.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on print version record.</subfield></datafield><datafield tag="590" ind1=" " ind2=" "><subfield code="a">Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computational intelligence.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Truthfulness and falsehood</subfield><subfield code="x">Mathematical models.</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Xin</subfield><subfield code="c">(Mathematician),</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Datta, Anwitaman,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lim, Ee-Peng,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="t">Computational trust models and machine learning.</subfield><subfield code="d">Boca Raton : Taylor &amp; Francis, [2015]</subfield><subfield code="k">Chapman &amp; Hall/CRC machine learning &amp; pattern recognition series</subfield><subfield code="z">9781482226669</subfield><subfield code="w">(DLC)10961793</subfield></datafield><datafield tag="797" ind1="2" ind2=" "><subfield code="a">ProQuest (Firm)</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Chapman &amp; Hall/CRC machine learning &amp; pattern recognition series.</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1683480</subfield><subfield code="z">Click to View</subfield></datafield></record></collection>