Knowledge discovery with support vector machines:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, N.J.
Wiley
© 2009
|
| Schriftenreihe: | Wiley series on methods and applications in data mining
|
| Schlagworte: | |
| Online-Zugang: | FRO01 UBG01 UBM01 Volltext |
| Beschreibung: | Includes bibliographical references (pages 231-235) and index An easy-to-follow introduction to support vector machines. This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover:. Knowledge discovery environments;. Describing data mathematically;. Linear decision surfaces and functions;. Perceptron learning;. Maximum margin classifiers;. Support vector machines;. Elements of statistical learning theory;. Multi-class classification;. Regression with supporsupport vector machines;. Novelty detection. Complemented with hands-on exercises, algorithm descriptions, and data sets, Knowledge Discovery with Support Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial on support vector machines for professionals who are pursuing research in machine learning and related areas |
| Beschreibung: | 1 Online-Ressource (xv, 246 pages) |
| ISBN: | 9780470503041 0470503041 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV043390433 | ||
| 003 | DE-604 | ||
| 005 | 20180205 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 160222s2009 |||| o||u| ||||||eng d | ||
| 020 | |a 9780470503041 |c electronic bk. |9 978-0-470-50304-1 | ||
| 020 | |a 0470503041 |c electronic bk. |9 0-470-50304-1 | ||
| 024 | 7 | |a 10.1002/9780470503065 |2 doi | |
| 035 | |a (ZDB-35-WIC)ocn476311758 | ||
| 035 | |a (OCoLC)476311758 | ||
| 035 | |a (DE-599)BVBBV043390433 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-861 |a DE-19 | ||
| 082 | 0 | |a 005.1 |2 22 | |
| 082 | 0 | |a 003.5 |2 22 | |
| 084 | |a ST 530 |0 (DE-625)143679: |2 rvk | ||
| 100 | 1 | |a Hamel, Lutz |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Knowledge discovery with support vector machines |c Lutz Hamel |
| 264 | 1 | |a Hoboken, N.J. |b Wiley |c © 2009 | |
| 300 | |a 1 Online-Ressource (xv, 246 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Wiley series on methods and applications in data mining | |
| 500 | |a Includes bibliographical references (pages 231-235) and index | ||
| 500 | |a An easy-to-follow introduction to support vector machines. This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover:. Knowledge discovery environments;. Describing data mathematically;. Linear decision surfaces and functions;. Perceptron learning;. Maximum margin classifiers;. Support vector machines;. Elements of statistical learning theory;. Multi-class classification;. Regression with supporsupport vector machines;. Novelty detection. Complemented with hands-on exercises, algorithm descriptions, and data sets, Knowledge Discovery with Support Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial on support vector machines for professionals who are pursuing research in machine learning and related areas | ||
| 650 | 7 | |a COMPUTERS / Cybernetics |2 bisacsh | |
| 650 | 7 | |a COMPUTERS / Programming / Open Source |2 bisacsh | |
| 650 | 7 | |a COMPUTERS / Software Development & Engineering / Tools |2 bisacsh | |
| 650 | 7 | |a COMPUTERS / Software Development & Engineering / General |2 bisacsh | |
| 650 | 7 | |a Computer algorithms |2 fast | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Support vector machines |2 fast | |
| 650 | 4 | |a Support vector machines | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a Computer algorithms | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 0-470-37192-7 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 978-0-470-37192-3 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 978-0-470-50306-5 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 0-470-50306-8 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 978-0-470-37192-3 |
| 856 | 4 | 0 | |u https://onlinelibrary.wiley.com/doi/book/10.1002/9780470503065 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-35-WIC | ||
| 940 | 1 | |q UBG_PDA_WIC | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-028809017 | ||
| 966 | e | |u https://onlinelibrary.wiley.com/doi/book/10.1002/9780470503065 |l FRO01 |p ZDB-35-WIC |q FRO_PDA_WIC |x Verlag |3 Volltext | |
| 966 | e | |u https://onlinelibrary.wiley.com/doi/book/10.1002/9780470503065 |l UBG01 |p ZDB-35-WIC |q UBG_PDA_WIC |x Verlag |3 Volltext | |
| 966 | e | |u https://onlinelibrary.wiley.com/doi/book/10.1002/9780470503065 |l UBM01 |p ZDB-35-WIC |q UBM_PDA_WIC_Kauf |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804175964622553088 |
|---|---|
| any_adam_object | |
| author | Hamel, Lutz |
| author_facet | Hamel, Lutz |
| author_role | aut |
| author_sort | Hamel, Lutz |
| author_variant | l h lh |
| building | Verbundindex |
| bvnumber | BV043390433 |
| classification_rvk | ST 530 |
| collection | ZDB-35-WIC |
| ctrlnum | (ZDB-35-WIC)ocn476311758 (OCoLC)476311758 (DE-599)BVBBV043390433 |
| dewey-full | 005.1 003.5 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security 003 - Systems |
| dewey-raw | 005.1 003.5 |
| dewey-search | 005.1 003.5 |
| dewey-sort | 15.1 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03693nmm a2200637zc 4500</leader><controlfield tag="001">BV043390433</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20180205 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">160222s2009 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780470503041</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-0-470-50304-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0470503041</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">0-470-50304-1</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1002/9780470503065</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-35-WIC)ocn476311758</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)476311758</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043390433</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-861</subfield><subfield code="a">DE-19</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.1</subfield><subfield code="2">22</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">003.5</subfield><subfield code="2">22</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">Hamel, Lutz</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Knowledge discovery with support vector machines</subfield><subfield code="c">Lutz Hamel</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hoboken, N.J.</subfield><subfield code="b">Wiley</subfield><subfield code="c">© 2009</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xv, 246 pages)</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="0" ind2=" "><subfield code="a">Wiley series on methods and applications in data mining</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references (pages 231-235) and index</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">An easy-to-follow introduction to support vector machines. This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover:. Knowledge discovery environments;. Describing data mathematically;. Linear decision surfaces and functions;. Perceptron learning;. Maximum margin classifiers;. Support vector machines;. Elements of statistical learning theory;. Multi-class classification;. Regression with supporsupport vector machines;. Novelty detection. Complemented with hands-on exercises, algorithm descriptions, and data sets, Knowledge Discovery with Support Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial on support vector machines for professionals who are pursuing research in machine learning and related areas</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Cybernetics</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Programming / Open Source</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Software Development & Engineering / Tools</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Software Development & Engineering / General</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Computer algorithms</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data mining</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Machine learning</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Support vector machines</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Support vector machines</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer algorithms</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Hardcover</subfield><subfield code="z">0-470-37192-7</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Hardcover</subfield><subfield code="z">978-0-470-37192-3</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Hardcover</subfield><subfield code="z">978-0-470-50306-5</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Hardcover</subfield><subfield code="z">0-470-50306-8</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Hardcover</subfield><subfield code="z">978-0-470-37192-3</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://onlinelibrary.wiley.com/doi/book/10.1002/9780470503065</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-35-WIC</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">UBG_PDA_WIC</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-028809017</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://onlinelibrary.wiley.com/doi/book/10.1002/9780470503065</subfield><subfield code="l">FRO01</subfield><subfield code="p">ZDB-35-WIC</subfield><subfield code="q">FRO_PDA_WIC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://onlinelibrary.wiley.com/doi/book/10.1002/9780470503065</subfield><subfield code="l">UBG01</subfield><subfield code="p">ZDB-35-WIC</subfield><subfield code="q">UBG_PDA_WIC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://onlinelibrary.wiley.com/doi/book/10.1002/9780470503065</subfield><subfield code="l">UBM01</subfield><subfield code="p">ZDB-35-WIC</subfield><subfield code="q">UBM_PDA_WIC_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV043390433 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:24:39Z |
| institution | BVB |
| isbn | 9780470503041 0470503041 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028809017 |
| oclc_num | 476311758 |
| open_access_boolean | |
| owner | DE-861 DE-19 DE-BY-UBM |
| owner_facet | DE-861 DE-19 DE-BY-UBM |
| physical | 1 Online-Ressource (xv, 246 pages) |
| psigel | ZDB-35-WIC UBG_PDA_WIC ZDB-35-WIC FRO_PDA_WIC ZDB-35-WIC UBG_PDA_WIC ZDB-35-WIC UBM_PDA_WIC_Kauf |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Wiley |
| record_format | marc |
| series2 | Wiley series on methods and applications in data mining |
| spelling | Hamel, Lutz Verfasser aut Knowledge discovery with support vector machines Lutz Hamel Hoboken, N.J. Wiley © 2009 1 Online-Ressource (xv, 246 pages) txt rdacontent c rdamedia cr rdacarrier Wiley series on methods and applications in data mining Includes bibliographical references (pages 231-235) and index An easy-to-follow introduction to support vector machines. This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover:. Knowledge discovery environments;. Describing data mathematically;. Linear decision surfaces and functions;. Perceptron learning;. Maximum margin classifiers;. Support vector machines;. Elements of statistical learning theory;. Multi-class classification;. Regression with supporsupport vector machines;. Novelty detection. Complemented with hands-on exercises, algorithm descriptions, and data sets, Knowledge Discovery with Support Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial on support vector machines for professionals who are pursuing research in machine learning and related areas COMPUTERS / Cybernetics bisacsh COMPUTERS / Programming / Open Source bisacsh COMPUTERS / Software Development & Engineering / Tools bisacsh COMPUTERS / Software Development & Engineering / General bisacsh Computer algorithms fast Data mining fast Machine learning fast Support vector machines fast Support vector machines Data mining Machine learning Computer algorithms Erscheint auch als Druck-Ausgabe, Hardcover 0-470-37192-7 Erscheint auch als Druck-Ausgabe, Hardcover 978-0-470-37192-3 Erscheint auch als Druck-Ausgabe, Hardcover 978-0-470-50306-5 Erscheint auch als Druck-Ausgabe, Hardcover 0-470-50306-8 https://onlinelibrary.wiley.com/doi/book/10.1002/9780470503065 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Hamel, Lutz Knowledge discovery with support vector machines COMPUTERS / Cybernetics bisacsh COMPUTERS / Programming / Open Source bisacsh COMPUTERS / Software Development & Engineering / Tools bisacsh COMPUTERS / Software Development & Engineering / General bisacsh Computer algorithms fast Data mining fast Machine learning fast Support vector machines fast Support vector machines Data mining Machine learning Computer algorithms |
| title | Knowledge discovery with support vector machines |
| title_auth | Knowledge discovery with support vector machines |
| title_exact_search | Knowledge discovery with support vector machines |
| title_full | Knowledge discovery with support vector machines Lutz Hamel |
| title_fullStr | Knowledge discovery with support vector machines Lutz Hamel |
| title_full_unstemmed | Knowledge discovery with support vector machines Lutz Hamel |
| title_short | Knowledge discovery with support vector machines |
| title_sort | knowledge discovery with support vector machines |
| topic | COMPUTERS / Cybernetics bisacsh COMPUTERS / Programming / Open Source bisacsh COMPUTERS / Software Development & Engineering / Tools bisacsh COMPUTERS / Software Development & Engineering / General bisacsh Computer algorithms fast Data mining fast Machine learning fast Support vector machines fast Support vector machines Data mining Machine learning Computer algorithms |
| topic_facet | COMPUTERS / Cybernetics COMPUTERS / Programming / Open Source COMPUTERS / Software Development & Engineering / Tools COMPUTERS / Software Development & Engineering / General Computer algorithms Data mining Machine learning Support vector machines |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9780470503065 |
| work_keys_str_mv | AT hamellutz knowledgediscoverywithsupportvectormachines |