Statistical and machine learning approaches for network analysis:
"This book explores novel graph classes and presents novel methods to classify networks. It particularly addresses the following problems: exploration of novel graph classes and their relationships among each other; existing and classical methods to analyze networks; novel graph similarity and...
Gespeichert in:
Beteilige Person: | |
---|---|
Weitere beteiligte Personen: | |
Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Hoboken, N.J.
Wiley
2012
|
Schriftenreihe: | Wiley series in computational statistics
707 |
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781118346983/?ar |
Zusammenfassung: | "This book explores novel graph classes and presents novel methods to classify networks. It particularly addresses the following problems: exploration of novel graph classes and their relationships among each other; existing and classical methods to analyze networks; novel graph similarity and graph classification techniques based on machine learning methods; and applications of graph classification and graph mining. Key topics are addressed in depth including the mathematical definition of novel graph classes, i.e. generalized trees and directed universal hierarchical graphs, and the application areas in which to apply graph classes to practical problems in computational biology, computer science, mathematics, mathematical psychology, etc"-- |
Beschreibung: | Includes bibliographical references and index. - Print version record and CIP data provided by publisher |
Umfang: | 1 Online-Ressource |
ISBN: | 9781118346983 111834698X 9781118347010 1118347013 9781118347027 1118347021 9781118346990 1118346998 1280872713 9781280872716 |
Internformat
MARC
LEADER | 00000cam a22000002 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-047532564 | ||
003 | DE-627-1 | ||
005 | 20240228114919.0 | ||
007 | cr uuu---uuuuu | ||
008 | 191023s2012 xx |||||o 00| ||eng c | ||
020 | |a 9781118346983 |c epub |9 978-1-118-34698-3 | ||
020 | |a 111834698X |c epub |9 1-118-34698-X | ||
020 | |a 9781118347010 |c pdf |9 978-1-118-34701-0 | ||
020 | |a 1118347013 |c pdf |9 1-118-34701-3 | ||
020 | |a 9781118347027 |c mobi |9 978-1-118-34702-7 | ||
020 | |a 1118347021 |c mobi |9 1-118-34702-1 | ||
020 | |a 9781118346990 |c electronic bk. |9 978-1-118-34699-0 | ||
020 | |a 1118346998 |c electronic bk. |9 1-118-34699-8 | ||
020 | |a 1280872713 |9 1-280-87271-3 | ||
020 | |a 9781280872716 |9 978-1-280-87271-6 | ||
035 | |a (DE-627-1)047532564 | ||
035 | |a (DE-599)KEP047532564 | ||
035 | |a (ORHE)9781118346983 | ||
035 | |a (DE-627-1)047532564 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
072 | 7 | |a MAT |2 bisacsh | |
082 | 0 | |a 511/.5 |2 23 | |
100 | 1 | |a Dehmer, Matthias |d 1968- |e VerfasserIn |4 aut | |
245 | 1 | 0 | |a Statistical and machine learning approaches for network analysis |c Matthias Dehmer, Subhash C. Basak |
264 | 1 | |a Hoboken, N.J. |b Wiley |c 2012 | |
300 | |a 1 Online-Ressource | ||
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
490 | 0 | |a Wiley series in computational statistics |v 707 | |
500 | |a Includes bibliographical references and index. - Print version record and CIP data provided by publisher | ||
520 | |a "This book explores novel graph classes and presents novel methods to classify networks. It particularly addresses the following problems: exploration of novel graph classes and their relationships among each other; existing and classical methods to analyze networks; novel graph similarity and graph classification techniques based on machine learning methods; and applications of graph classification and graph mining. Key topics are addressed in depth including the mathematical definition of novel graph classes, i.e. generalized trees and directed universal hierarchical graphs, and the application areas in which to apply graph classes to practical problems in computational biology, computer science, mathematics, mathematical psychology, etc"-- | ||
546 | |a English. | ||
650 | 0 | |a Research |x Statistical methods | |
650 | 0 | |a Machine theory | |
650 | 0 | |a Communication |x Network analysis |x Graphic methods | |
650 | 0 | |a Information science |x Statistical methods | |
650 | 4 | |a Recherche ; Méthodes statistiques | |
650 | 4 | |a Théorie des automates | |
650 | 4 | |a Communication ; Analyse de réseau ; Méthodes graphiques | |
650 | 4 | |a MATHEMATICS ; Probability & Statistics ; General | |
650 | 4 | |a Information science ; Statistical methods | |
650 | 4 | |a Machine theory | |
650 | 4 | |a Research ; Statistical methods | |
700 | 1 | |a Basak, Subhash C. |d 1945- |e MitwirkendeR |4 ctb | |
776 | 1 | |z 9780470195154 | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9780470195154 |
966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781118346983/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
912 | |a ZDB-30-ORH | ||
912 | |a ZDB-30-ORH | ||
951 | |a BO | ||
912 | |a ZDB-30-ORH | ||
049 | |a DE-91 |
Datensatz im Suchindex
DE-BY-TUM_katkey | ZDB-30-ORH-047532564 |
---|---|
_version_ | 1821494887116177408 |
adam_text | |
any_adam_object | |
author | Dehmer, Matthias 1968- |
author2 | Basak, Subhash C. 1945- |
author2_role | ctb |
author2_variant | s c b sc scb |
author_facet | Dehmer, Matthias 1968- Basak, Subhash C. 1945- |
author_role | aut |
author_sort | Dehmer, Matthias 1968- |
author_variant | m d md |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)047532564 (DE-599)KEP047532564 (ORHE)9781118346983 |
dewey-full | 511/.5 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 511 - General principles of mathematics |
dewey-raw | 511/.5 |
dewey-search | 511/.5 |
dewey-sort | 3511 15 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03232cam a22006492 4500</leader><controlfield tag="001">ZDB-30-ORH-047532564</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228114919.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2012 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118346983</subfield><subfield code="c">epub</subfield><subfield code="9">978-1-118-34698-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">111834698X</subfield><subfield code="c">epub</subfield><subfield code="9">1-118-34698-X</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118347010</subfield><subfield code="c">pdf</subfield><subfield code="9">978-1-118-34701-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1118347013</subfield><subfield code="c">pdf</subfield><subfield code="9">1-118-34701-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118347027</subfield><subfield code="c">mobi</subfield><subfield code="9">978-1-118-34702-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1118347021</subfield><subfield code="c">mobi</subfield><subfield code="9">1-118-34702-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118346990</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-118-34699-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1118346998</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-118-34699-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1280872713</subfield><subfield code="9">1-280-87271-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781280872716</subfield><subfield code="9">978-1-280-87271-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047532564</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047532564</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781118346983</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047532564</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">MAT</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">511/.5</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Dehmer, Matthias</subfield><subfield code="d">1968-</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Statistical and machine learning approaches for network analysis</subfield><subfield code="c">Matthias Dehmer, Subhash C. Basak</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hoboken, N.J.</subfield><subfield code="b">Wiley</subfield><subfield code="c">2012</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</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">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Wiley series in computational statistics</subfield><subfield code="v">707</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index. - Print version record and CIP data provided by publisher</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"This book explores novel graph classes and presents novel methods to classify networks. It particularly addresses the following problems: exploration of novel graph classes and their relationships among each other; existing and classical methods to analyze networks; novel graph similarity and graph classification techniques based on machine learning methods; and applications of graph classification and graph mining. Key topics are addressed in depth including the mathematical definition of novel graph classes, i.e. generalized trees and directed universal hierarchical graphs, and the application areas in which to apply graph classes to practical problems in computational biology, computer science, mathematics, mathematical psychology, etc"--</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Research</subfield><subfield code="x">Statistical methods</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine theory</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Communication</subfield><subfield code="x">Network analysis</subfield><subfield code="x">Graphic methods</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Information science</subfield><subfield code="x">Statistical methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Recherche ; Méthodes statistiques</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Théorie des automates</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Communication ; Analyse de réseau ; Méthodes graphiques</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">MATHEMATICS ; Probability & Statistics ; General</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Information science ; Statistical methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Research ; Statistical methods</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Basak, Subhash C.</subfield><subfield code="d">1945-</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">9780470195154</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">9780470195154</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781118346983/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
id | ZDB-30-ORH-047532564 |
illustrated | Not Illustrated |
indexdate | 2025-01-17T11:21:31Z |
institution | BVB |
isbn | 9781118346983 111834698X 9781118347010 1118347013 9781118347027 1118347021 9781118346990 1118346998 1280872713 9781280872716 |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 Online-Ressource |
psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
publishDate | 2012 |
publishDateSearch | 2012 |
publishDateSort | 2012 |
publisher | Wiley |
record_format | marc |
series2 | Wiley series in computational statistics |
spelling | Dehmer, Matthias 1968- VerfasserIn aut Statistical and machine learning approaches for network analysis Matthias Dehmer, Subhash C. Basak Hoboken, N.J. Wiley 2012 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Wiley series in computational statistics 707 Includes bibliographical references and index. - Print version record and CIP data provided by publisher "This book explores novel graph classes and presents novel methods to classify networks. It particularly addresses the following problems: exploration of novel graph classes and their relationships among each other; existing and classical methods to analyze networks; novel graph similarity and graph classification techniques based on machine learning methods; and applications of graph classification and graph mining. Key topics are addressed in depth including the mathematical definition of novel graph classes, i.e. generalized trees and directed universal hierarchical graphs, and the application areas in which to apply graph classes to practical problems in computational biology, computer science, mathematics, mathematical psychology, etc"-- English. Research Statistical methods Machine theory Communication Network analysis Graphic methods Information science Statistical methods Recherche ; Méthodes statistiques Théorie des automates Communication ; Analyse de réseau ; Méthodes graphiques MATHEMATICS ; Probability & Statistics ; General Information science ; Statistical methods Research ; Statistical methods Basak, Subhash C. 1945- MitwirkendeR ctb 9780470195154 Erscheint auch als Druck-Ausgabe 9780470195154 |
spellingShingle | Dehmer, Matthias 1968- Statistical and machine learning approaches for network analysis Research Statistical methods Machine theory Communication Network analysis Graphic methods Information science Statistical methods Recherche ; Méthodes statistiques Théorie des automates Communication ; Analyse de réseau ; Méthodes graphiques MATHEMATICS ; Probability & Statistics ; General Information science ; Statistical methods Research ; Statistical methods |
title | Statistical and machine learning approaches for network analysis |
title_auth | Statistical and machine learning approaches for network analysis |
title_exact_search | Statistical and machine learning approaches for network analysis |
title_full | Statistical and machine learning approaches for network analysis Matthias Dehmer, Subhash C. Basak |
title_fullStr | Statistical and machine learning approaches for network analysis Matthias Dehmer, Subhash C. Basak |
title_full_unstemmed | Statistical and machine learning approaches for network analysis Matthias Dehmer, Subhash C. Basak |
title_short | Statistical and machine learning approaches for network analysis |
title_sort | statistical and machine learning approaches for network analysis |
topic | Research Statistical methods Machine theory Communication Network analysis Graphic methods Information science Statistical methods Recherche ; Méthodes statistiques Théorie des automates Communication ; Analyse de réseau ; Méthodes graphiques MATHEMATICS ; Probability & Statistics ; General Information science ; Statistical methods Research ; Statistical methods |
topic_facet | Research Statistical methods Machine theory Communication Network analysis Graphic methods Information science Statistical methods Recherche ; Méthodes statistiques Théorie des automates Communication ; Analyse de réseau ; Méthodes graphiques MATHEMATICS ; Probability & Statistics ; General Information science ; Statistical methods Research ; Statistical methods |
work_keys_str_mv | AT dehmermatthias statisticalandmachinelearningapproachesfornetworkanalysis AT basaksubhashc statisticalandmachinelearningapproachesfornetworkanalysis |