Individual and collective graph mining: principles, algorithms, and applications
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
[San Rafael, California]
Morgan & Claypool Publishers
[2018]
|
Schriftenreihe: | Synthesis lectures on data mining and knowledge discovery
#14 |
Schlagworte: | |
Online-Zugang: | UER01 FHI01 Volltext |
Beschreibung: | 1 Online-Ressource (xi, 194 Seiten) |
ISBN: | 9781681730400 |
DOI: | 10.2200/S00796ED1V01Y201708DMK014 |
Internformat
MARC
LEADER | 00000nmm a2200000 cb4500 | ||
---|---|---|---|
001 | BV044756677 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | cr|uuu---uuuuu | ||
008 | 180212s2018 |||| o||u| ||||||eng d | ||
020 | |a 9781681730400 |c ebook |9 978-1-68173-040-0 | ||
024 | 7 | |a 10.2200/S00796ED1V01Y201708DMK014 |2 doi | |
035 | |a (OCoLC)1024128841 | ||
035 | |a (DE-599)BSZ495820628 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-29 |a DE-573 | ||
084 | |a ST 130 |0 (DE-625)143588: |2 rvk | ||
084 | |a ST 530 |0 (DE-625)143679: |2 rvk | ||
100 | 1 | |a Koutra, Danai |e Verfasser |4 aut | |
245 | 1 | 0 | |a Individual and collective graph mining |b principles, algorithms, and applications |c Danai Koutra (University of Michigan, Ann Arbor), Christos Faloutsos (Carnegie Mellon University) |
264 | 1 | |a [San Rafael, California] |b Morgan & Claypool Publishers |c [2018] | |
264 | 4 | |c © 2018 | |
300 | |a 1 Online-Ressource (xi, 194 Seiten) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 1 | |a Synthesis lectures on data mining and knowledge discovery |v #14 | |
650 | 0 | 7 | |a Data Mining |0 (DE-588)4428654-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Graph |0 (DE-588)4021842-9 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Graphentheorie |0 (DE-588)4113782-6 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Datenverarbeitung |0 (DE-588)4011152-0 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Data Mining |0 (DE-588)4428654-5 |D s |
689 | 0 | 1 | |a Graphentheorie |0 (DE-588)4113782-6 |D s |
689 | 0 | 2 | |a Datenverarbeitung |0 (DE-588)4011152-0 |D s |
689 | 0 | |8 1\p |5 DE-604 | |
689 | 1 | 0 | |a Graph |0 (DE-588)4021842-9 |D s |
689 | 1 | 1 | |a Data Mining |0 (DE-588)4428654-5 |D s |
689 | 1 | |8 2\p |5 DE-604 | |
700 | 1 | |a Faloutsos, Christos |e Verfasser |4 aut | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Paperback |z 978-1-68173-039-4 |
830 | 0 | |a Synthesis lectures on data mining and knowledge discovery |v #14 |w (DE-604)BV044754814 |9 14 | |
856 | 4 | 0 | |u https://doi.org/10.2200/S00796ED1V01Y201708DMK014 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
912 | |a ZDB-105-MCB |a ZDB-105-MC10 | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-030152188 | ||
883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
966 | e | |u https://doi.org/10.2200/S00796ED1V01Y201708DMK014 |l UER01 |p ZDB-105-MCB |q UER_Einzelkauf |x Verlag |3 Volltext | |
966 | e | |u http://ieeexplore.ieee.org/servlet/opac?bknumber=8094360 |l FHI01 |p ZDB-105-MCS |x Aggregator |3 Volltext |
Datensatz im Suchindex
_version_ | 1804178274106998784 |
---|---|
any_adam_object | |
author | Koutra, Danai Faloutsos, Christos |
author_facet | Koutra, Danai Faloutsos, Christos |
author_role | aut aut |
author_sort | Koutra, Danai |
author_variant | d k dk c f cf |
building | Verbundindex |
bvnumber | BV044756677 |
classification_rvk | ST 130 ST 530 |
collection | ZDB-105-MCB ZDB-105-MC10 |
ctrlnum | (OCoLC)1024128841 (DE-599)BSZ495820628 |
discipline | Informatik |
doi_str_mv | 10.2200/S00796ED1V01Y201708DMK014 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02514nmm a2200553 cb4500</leader><controlfield tag="001">BV044756677</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">180212s2018 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781681730400</subfield><subfield code="c">ebook</subfield><subfield code="9">978-1-68173-040-0</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.2200/S00796ED1V01Y201708DMK014</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1024128841</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BSZ495820628</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-29</subfield><subfield code="a">DE-573</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 130</subfield><subfield code="0">(DE-625)143588:</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="100" ind1="1" ind2=" "><subfield code="a">Koutra, Danai</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Individual and collective graph mining</subfield><subfield code="b">principles, algorithms, and applications</subfield><subfield code="c">Danai Koutra (University of Michigan, Ann Arbor), Christos Faloutsos (Carnegie Mellon University)</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[San Rafael, California]</subfield><subfield code="b">Morgan & Claypool Publishers</subfield><subfield code="c">[2018]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xi, 194 Seiten)</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="490" ind1="1" ind2=" "><subfield code="a">Synthesis lectures on data mining and knowledge discovery</subfield><subfield code="v">#14</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">Graph</subfield><subfield code="0">(DE-588)4021842-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Graphentheorie</subfield><subfield code="0">(DE-588)4113782-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenverarbeitung</subfield><subfield code="0">(DE-588)4011152-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><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="1"><subfield code="a">Graphentheorie</subfield><subfield code="0">(DE-588)4113782-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Datenverarbeitung</subfield><subfield code="0">(DE-588)4011152-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Graph</subfield><subfield code="0">(DE-588)4021842-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Data Mining</subfield><subfield code="0">(DE-588)4428654-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Faloutsos, Christos</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Paperback</subfield><subfield code="z">978-1-68173-039-4</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Synthesis lectures on data mining and knowledge discovery</subfield><subfield code="v">#14</subfield><subfield code="w">(DE-604)BV044754814</subfield><subfield code="9">14</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.2200/S00796ED1V01Y201708DMK014</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-105-MCB</subfield><subfield code="a">ZDB-105-MC10</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030152188</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.2200/S00796ED1V01Y201708DMK014</subfield><subfield code="l">UER01</subfield><subfield code="p">ZDB-105-MCB</subfield><subfield code="q">UER_Einzelkauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://ieeexplore.ieee.org/servlet/opac?bknumber=8094360</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-105-MCS</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV044756677 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:01:21Z |
institution | BVB |
isbn | 9781681730400 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030152188 |
oclc_num | 1024128841 |
open_access_boolean | |
owner | DE-29 DE-573 |
owner_facet | DE-29 DE-573 |
physical | 1 Online-Ressource (xi, 194 Seiten) |
psigel | ZDB-105-MCB ZDB-105-MC10 ZDB-105-MCB UER_Einzelkauf ZDB-105-MCS |
publishDate | 2018 |
publishDateSearch | 2018 |
publishDateSort | 2018 |
publisher | Morgan & Claypool Publishers |
record_format | marc |
series | Synthesis lectures on data mining and knowledge discovery |
series2 | Synthesis lectures on data mining and knowledge discovery |
spelling | Koutra, Danai Verfasser aut Individual and collective graph mining principles, algorithms, and applications Danai Koutra (University of Michigan, Ann Arbor), Christos Faloutsos (Carnegie Mellon University) [San Rafael, California] Morgan & Claypool Publishers [2018] © 2018 1 Online-Ressource (xi, 194 Seiten) txt rdacontent c rdamedia cr rdacarrier Synthesis lectures on data mining and knowledge discovery #14 Data Mining (DE-588)4428654-5 gnd rswk-swf Graph (DE-588)4021842-9 gnd rswk-swf Graphentheorie (DE-588)4113782-6 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Data Mining (DE-588)4428654-5 s Graphentheorie (DE-588)4113782-6 s Datenverarbeitung (DE-588)4011152-0 s 1\p DE-604 Graph (DE-588)4021842-9 s 2\p DE-604 Faloutsos, Christos Verfasser aut Erscheint auch als Druck-Ausgabe, Paperback 978-1-68173-039-4 Synthesis lectures on data mining and knowledge discovery #14 (DE-604)BV044754814 14 https://doi.org/10.2200/S00796ED1V01Y201708DMK014 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Koutra, Danai Faloutsos, Christos Individual and collective graph mining principles, algorithms, and applications Synthesis lectures on data mining and knowledge discovery Data Mining (DE-588)4428654-5 gnd Graph (DE-588)4021842-9 gnd Graphentheorie (DE-588)4113782-6 gnd Datenverarbeitung (DE-588)4011152-0 gnd |
subject_GND | (DE-588)4428654-5 (DE-588)4021842-9 (DE-588)4113782-6 (DE-588)4011152-0 |
title | Individual and collective graph mining principles, algorithms, and applications |
title_auth | Individual and collective graph mining principles, algorithms, and applications |
title_exact_search | Individual and collective graph mining principles, algorithms, and applications |
title_full | Individual and collective graph mining principles, algorithms, and applications Danai Koutra (University of Michigan, Ann Arbor), Christos Faloutsos (Carnegie Mellon University) |
title_fullStr | Individual and collective graph mining principles, algorithms, and applications Danai Koutra (University of Michigan, Ann Arbor), Christos Faloutsos (Carnegie Mellon University) |
title_full_unstemmed | Individual and collective graph mining principles, algorithms, and applications Danai Koutra (University of Michigan, Ann Arbor), Christos Faloutsos (Carnegie Mellon University) |
title_short | Individual and collective graph mining |
title_sort | individual and collective graph mining principles algorithms and applications |
title_sub | principles, algorithms, and applications |
topic | Data Mining (DE-588)4428654-5 gnd Graph (DE-588)4021842-9 gnd Graphentheorie (DE-588)4113782-6 gnd Datenverarbeitung (DE-588)4011152-0 gnd |
topic_facet | Data Mining Graph Graphentheorie Datenverarbeitung |
url | https://doi.org/10.2200/S00796ED1V01Y201708DMK014 |
volume_link | (DE-604)BV044754814 |
work_keys_str_mv | AT koutradanai individualandcollectivegraphminingprinciplesalgorithmsandapplications AT faloutsoschristos individualandcollectivegraphminingprinciplesalgorithmsandapplications |