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| 001 | BV044848240 | ||
| 003 | DE-604 | ||
| 005 | 20220531 | ||
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| 008 | 180305s2012 |||| o||u| ||||||eng d | ||
| 020 | |a 9781118347010 |c Online |9 978-1-118-34701-0 | ||
| 035 | |a (ZDB-38-ESG)ebr10575598 | ||
| 035 | |a (OCoLC)779740472 | ||
| 035 | |a (DE-599)BVBBV044848240 | ||
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| 041 | 0 | |a eng | |
| 082 | 0 | |a 511/.5 |2 23 | |
| 245 | 1 | 0 | |a Statistical and machine learning approaches for network analysis |c edited by Matthias Dehmer, Subhash C. Basak |
| 264 | 1 | |a Hoboken, N.J. |b Wiley |c 2012 | |
| 300 | |a xii, 331 p. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 505 | 8 | |a Includes bibliographical references and index | |
| 505 | 8 | |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"-- | |
| 650 | 4 | |a Research |x Statistical methods | |
| 650 | 4 | |a Machine theory | |
| 650 | 4 | |a Communication |x Network analysis |x Graphic methods | |
| 650 | 4 | |a Information science |x Statistical methods | |
| 655 | 7 | |0 (DE-588)4006804-3 |a Biografie |2 gnd-content | |
| 700 | 1 | |a Dehmer, Matthias |d 1968- |e Sonstige |0 (DE-588)129565245 |4 oth | |
| 700 | 1 | |a Basak, Subhash C. |d 1945- |e Sonstige |0 (DE-588)1140494007 |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 978-0-470-19515-4 |
| 856 | 4 | 2 | |m SWB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030243101&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Buchcover |
| 912 | |a ZDB-38-ESG | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030243101 | ||
Datensatz im Suchindex
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| bvnumber | BV044848240 |
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| contents | Includes bibliographical references and index "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"-- |
| ctrlnum | (ZDB-38-ESG)ebr10575598 (OCoLC)779740472 (DE-599)BVBBV044848240 |
| 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 |
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| genre | (DE-588)4006804-3 Biografie gnd-content |
| genre_facet | Biografie |
| id | DE-604.BV044848240 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:02:46Z |
| institution | BVB |
| isbn | 9781118347010 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030243101 |
| oclc_num | 779740472 |
| open_access_boolean | |
| physical | xii, 331 p. |
| psigel | ZDB-38-ESG |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Wiley |
| record_format | marc |
| spelling | Statistical and machine learning approaches for network analysis edited by Matthias Dehmer, Subhash C. Basak Hoboken, N.J. Wiley 2012 xii, 331 p. txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index "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"-- Research Statistical methods Machine theory Communication Network analysis Graphic methods Information science Statistical methods (DE-588)4006804-3 Biografie gnd-content Dehmer, Matthias 1968- Sonstige (DE-588)129565245 oth Basak, Subhash C. 1945- Sonstige (DE-588)1140494007 oth Erscheint auch als Druck-Ausgabe, Hardcover 978-0-470-19515-4 SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030243101&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Buchcover |
| spellingShingle | Statistical and machine learning approaches for network analysis Includes bibliographical references and index "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"-- Research Statistical methods Machine theory Communication Network analysis Graphic methods Information science Statistical methods |
| subject_GND | (DE-588)4006804-3 |
| 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 edited by Matthias Dehmer, Subhash C. Basak |
| title_fullStr | Statistical and machine learning approaches for network analysis edited by Matthias Dehmer, Subhash C. Basak |
| title_full_unstemmed | Statistical and machine learning approaches for network analysis edited by 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 |
| topic_facet | Research Statistical methods Machine theory Communication Network analysis Graphic methods Information science Statistical methods Biografie |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030243101&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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