Statistical and machine learning approaches for network analysis:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, N.J.
Wiley
2012
|
| Schriftenreihe: | Wiley series in computational statistics
707 |
| Schlagworte: | |
| Online-Zugang: | FRO01 UBG01 URL des Erstveröffentlichers Buchcover |
| Beschreibung: | "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"-- Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781118346983 111834698X 9781118347010 1118347013 9781118347027 1118347021 9781118346990 1118346998 0470195150 1280872713 9781280872716 |
Internformat
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| 100 | 1 | |a Dehmer, Matthias |d 1968- |e Verfasser |0 (DE-588)129565245 |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 | |
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| 500 | |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"-- | ||
| 500 | |a Includes bibliographical references and index | ||
| 650 | 7 | |a MATHEMATICS / Probability & Statistics / General |2 bisacsh | |
| 650 | 4 | |a Research / Statistical methods | |
| 650 | 4 | |a Machine theory | |
| 650 | 4 | |a Communication / Network analysis / Graphic methods | |
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| 650 | 4 | |a Research / Statistical methods | |
| 650 | 4 | |a Machine theory | |
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| 650 | 4 | |a Information science / Statistical methods | |
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| 655 | 7 | |0 (DE-588)4006804-3 |a Biografie |2 gnd-content | |
| 700 | 1 | |a Basak, Subhash C. |d 1945- |e Sonstige |0 (DE-588)1140494007 |4 oth | |
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Datensatz im Suchindex
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|---|---|
| any_adam_object | 1 |
| author | Dehmer, Matthias 1968- |
| author_GND | (DE-588)129565245 (DE-588)1140494007 |
| author_facet | Dehmer, Matthias 1968- |
| author_role | aut |
| author_sort | Dehmer, Matthias 1968- |
| author_variant | m d md |
| building | Verbundindex |
| bvnumber | BV043394344 |
| collection | ZDB-35-WIC |
| ctrlnum | (ZDB-35-WIC)ocn779740472 (OCoLC)779740472 (DE-599)BVBBV043394344 |
| 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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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:24:47Z |
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| isbn | 9781118346983 111834698X 9781118347010 1118347013 9781118347027 1118347021 9781118346990 1118346998 0470195150 1280872713 9781280872716 |
| language | English |
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| publisher | Wiley |
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| spelling | Dehmer, Matthias 1968- Verfasser (DE-588)129565245 aut Statistical and machine learning approaches for network analysis Matthias Dehmer, Subhash C. Basak Hoboken, N.J. Wiley 2012 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Wiley series in computational statistics 707 "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"-- Includes bibliographical references and index MATHEMATICS / Probability & Statistics / General bisacsh Research / Statistical methods Machine theory Communication / Network analysis / Graphic methods Information science / Statistical methods Electronic books (DE-588)4006804-3 Biografie gnd-content Basak, Subhash C. 1945- Sonstige (DE-588)1140494007 oth Erscheint auch als Druck-Ausgabe, Hardcover 978-0-470-19515-4 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118346990 Verlag URL des Erstveröffentlichers Volltext SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028812927&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Buchcover |
| spellingShingle | Dehmer, Matthias 1968- Statistical and machine learning approaches for network analysis MATHEMATICS / Probability & Statistics / General bisacsh 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 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 | MATHEMATICS / Probability & Statistics / General bisacsh Research / Statistical methods Machine theory Communication / Network analysis / Graphic methods Information science / Statistical methods |
| topic_facet | MATHEMATICS / Probability & Statistics / General Research / Statistical methods Machine theory Communication / Network analysis / Graphic methods Information science / Statistical methods Biografie |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781118346990 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028812927&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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