Intelligent Data Analysis: An Introduction
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis (IDA) methods. The 12 coherently written chapters by leading experts provide complete coverage of the core issues. The previous edition was completely revised and a new chapter on kernel methods an...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2003
|
| Ausgabe: | 2nd ed. 2003 |
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | This monograph is a detailed introductory presentation of the key classes of intelligent data analysis (IDA) methods. The 12 coherently written chapters by leading experts provide complete coverage of the core issues. The previous edition was completely revised and a new chapter on kernel methods and support vector machines and a chapter on visualization techniques were added. The revised chapters from the original edition cover classical statistics issues, ranging from the basic concepts of probability through general notions of inference to advanced multivariate and time-series methods, and provide a detailed discussion of the increasingly important Bayesian approaches. The remaining chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions to the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a higher-level overview of the IDA processes, illustrating the breadth of application of the presented ideas. The second edition features an extensive index, which makes this volume also useful as a quick reference on the key techniques in intelligent data analysis |
| Beschreibung: | 1 Online-Ressource (XI, 515 p) |
| ISBN: | 9783540486251 |
| DOI: | 10.1007/978-3-540-48625-1 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV047064643 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 201216s2003 |||| o||u| ||||||eng d | ||
| 020 | |a 9783540486251 |9 978-3-540-48625-1 | ||
| 024 | 7 | |a 10.1007/978-3-540-48625-1 |2 doi | |
| 035 | |a (ZDB-2-SCS)978-3-540-48625-1 | ||
| 035 | |a (OCoLC)1227478570 | ||
| 035 | |a (DE-599)BVBBV047064643 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-706 | ||
| 082 | 0 | |a 006.4 |2 23 | |
| 084 | |a QH 234 |0 (DE-625)141549: |2 rvk | ||
| 084 | |a SK 830 |0 (DE-625)143259: |2 rvk | ||
| 084 | |a ST 515 |0 (DE-625)143677: |2 rvk | ||
| 245 | 1 | 0 | |a Intelligent Data Analysis |b An Introduction |c edited by Michael R. Berthold, David J Hand |
| 250 | |a 2nd ed. 2003 | ||
| 264 | 1 | |a Berlin, Heidelberg |b Springer Berlin Heidelberg |c 2003 | |
| 300 | |a 1 Online-Ressource (XI, 515 p) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 520 | |a This monograph is a detailed introductory presentation of the key classes of intelligent data analysis (IDA) methods. The 12 coherently written chapters by leading experts provide complete coverage of the core issues. The previous edition was completely revised and a new chapter on kernel methods and support vector machines and a chapter on visualization techniques were added. The revised chapters from the original edition cover classical statistics issues, ranging from the basic concepts of probability through general notions of inference to advanced multivariate and time-series methods, and provide a detailed discussion of the increasingly important Bayesian approaches. The remaining chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions to the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a higher-level overview of the IDA processes, illustrating the breadth of application of the presented ideas. The second edition features an extensive index, which makes this volume also useful as a quick reference on the key techniques in intelligent data analysis | ||
| 650 | 4 | |a Pattern Recognition | |
| 650 | 4 | |a Statistical Theory and Methods | |
| 650 | 4 | |a Information Storage and Retrieval | |
| 650 | 4 | |a Artificial Intelligence | |
| 650 | 4 | |a Probability and Statistics in Computer Science | |
| 650 | 4 | |a Data Mining and Knowledge Discovery | |
| 650 | 4 | |a Pattern recognition | |
| 650 | 4 | |a Statistics | |
| 650 | 4 | |a Information storage and retrieval | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Mathematical statistics | |
| 650 | 4 | |a Data mining | |
| 650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Berthold, Michael R. |4 edt | |
| 700 | 1 | |a Hand, David J. |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9783642077074 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9783540430605 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9783662307786 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9783662578834 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-540-48625-1 |x Verlag |z URL des Eerstveröffentlichers |3 Volltext |
| 912 | |a ZDB-2-SCS | ||
| 940 | 1 | |q ZDB-2-SCS_2000/2004 | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032471755 | ||
| 966 | e | |u https://doi.org/10.1007/978-3-540-48625-1 |l UBY01 |p ZDB-2-SCS |q ZDB-2-SCS_2000/2004 |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804182062950776832 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author2 | Berthold, Michael R. Hand, David J. |
| author2_role | edt edt |
| author2_variant | m r b mr mrb d j h dj djh |
| author_facet | Berthold, Michael R. Hand, David J. |
| building | Verbundindex |
| bvnumber | BV047064643 |
| classification_rvk | QH 234 SK 830 ST 515 |
| collection | ZDB-2-SCS |
| ctrlnum | (ZDB-2-SCS)978-3-540-48625-1 (OCoLC)1227478570 (DE-599)BVBBV047064643 |
| dewey-full | 006.4 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.4 |
| dewey-search | 006.4 |
| dewey-sort | 16.4 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Mathematik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Mathematik Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-3-540-48625-1 |
| edition | 2nd ed. 2003 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03509nmm a2200637zc 4500</leader><controlfield tag="001">BV047064643</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">201216s2003 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783540486251</subfield><subfield code="9">978-3-540-48625-1</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-540-48625-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-SCS)978-3-540-48625-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1227478570</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047064643</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-706</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.4</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">QH 234</subfield><subfield code="0">(DE-625)141549:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SK 830</subfield><subfield code="0">(DE-625)143259:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 515</subfield><subfield code="0">(DE-625)143677:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Intelligent Data Analysis</subfield><subfield code="b">An Introduction</subfield><subfield code="c">edited by Michael R. Berthold, David J Hand</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">2nd ed. 2003</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin, Heidelberg</subfield><subfield code="b">Springer Berlin Heidelberg</subfield><subfield code="c">2003</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XI, 515 p)</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="520" ind1=" " ind2=" "><subfield code="a">This monograph is a detailed introductory presentation of the key classes of intelligent data analysis (IDA) methods. The 12 coherently written chapters by leading experts provide complete coverage of the core issues. The previous edition was completely revised and a new chapter on kernel methods and support vector machines and a chapter on visualization techniques were added. The revised chapters from the original edition cover classical statistics issues, ranging from the basic concepts of probability through general notions of inference to advanced multivariate and time-series methods, and provide a detailed discussion of the increasingly important Bayesian approaches. The remaining chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions to the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a higher-level overview of the IDA processes, illustrating the breadth of application of the presented ideas. The second edition features an extensive index, which makes this volume also useful as a quick reference on the key techniques in intelligent data analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pattern Recognition</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical Theory and Methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Information Storage and Retrieval</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Probability and Statistics in Computer Science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data Mining and Knowledge Discovery</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pattern recognition</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics </subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Information storage and retrieval</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical statistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Berthold, Michael R.</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hand, David J.</subfield><subfield code="4">edt</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">9783642077074</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">9783540430605</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">9783662307786</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">9783662578834</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-3-540-48625-1</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Eerstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-SCS</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-SCS_2000/2004</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032471755</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-540-48625-1</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="q">ZDB-2-SCS_2000/2004</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV047064643 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:23Z |
| indexdate | 2024-07-10T09:01:35Z |
| institution | BVB |
| isbn | 9783540486251 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032471755 |
| oclc_num | 1227478570 |
| open_access_boolean | |
| owner | DE-706 |
| owner_facet | DE-706 |
| physical | 1 Online-Ressource (XI, 515 p) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2000/2004 ZDB-2-SCS ZDB-2-SCS_2000/2004 |
| publishDate | 2003 |
| publishDateSearch | 2003 |
| publishDateSort | 2003 |
| publisher | Springer Berlin Heidelberg |
| record_format | marc |
| spelling | Intelligent Data Analysis An Introduction edited by Michael R. Berthold, David J Hand 2nd ed. 2003 Berlin, Heidelberg Springer Berlin Heidelberg 2003 1 Online-Ressource (XI, 515 p) txt rdacontent c rdamedia cr rdacarrier This monograph is a detailed introductory presentation of the key classes of intelligent data analysis (IDA) methods. The 12 coherently written chapters by leading experts provide complete coverage of the core issues. The previous edition was completely revised and a new chapter on kernel methods and support vector machines and a chapter on visualization techniques were added. The revised chapters from the original edition cover classical statistics issues, ranging from the basic concepts of probability through general notions of inference to advanced multivariate and time-series methods, and provide a detailed discussion of the increasingly important Bayesian approaches. The remaining chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions to the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a higher-level overview of the IDA processes, illustrating the breadth of application of the presented ideas. The second edition features an extensive index, which makes this volume also useful as a quick reference on the key techniques in intelligent data analysis Pattern Recognition Statistical Theory and Methods Information Storage and Retrieval Artificial Intelligence Probability and Statistics in Computer Science Data Mining and Knowledge Discovery Pattern recognition Statistics Information storage and retrieval Artificial intelligence Mathematical statistics Data mining Datenanalyse (DE-588)4123037-1 gnd rswk-swf Datenanalyse (DE-588)4123037-1 s DE-604 Berthold, Michael R. edt Hand, David J. edt Erscheint auch als Druck-Ausgabe 9783642077074 Erscheint auch als Druck-Ausgabe 9783540430605 Erscheint auch als Druck-Ausgabe 9783662307786 Erscheint auch als Druck-Ausgabe 9783662578834 https://doi.org/10.1007/978-3-540-48625-1 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Intelligent Data Analysis An Introduction Pattern Recognition Statistical Theory and Methods Information Storage and Retrieval Artificial Intelligence Probability and Statistics in Computer Science Data Mining and Knowledge Discovery Pattern recognition Statistics Information storage and retrieval Artificial intelligence Mathematical statistics Data mining Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)4123037-1 |
| title | Intelligent Data Analysis An Introduction |
| title_auth | Intelligent Data Analysis An Introduction |
| title_exact_search | Intelligent Data Analysis An Introduction |
| title_exact_search_txtP | Intelligent Data Analysis An Introduction |
| title_full | Intelligent Data Analysis An Introduction edited by Michael R. Berthold, David J Hand |
| title_fullStr | Intelligent Data Analysis An Introduction edited by Michael R. Berthold, David J Hand |
| title_full_unstemmed | Intelligent Data Analysis An Introduction edited by Michael R. Berthold, David J Hand |
| title_short | Intelligent Data Analysis |
| title_sort | intelligent data analysis an introduction |
| title_sub | An Introduction |
| topic | Pattern Recognition Statistical Theory and Methods Information Storage and Retrieval Artificial Intelligence Probability and Statistics in Computer Science Data Mining and Knowledge Discovery Pattern recognition Statistics Information storage and retrieval Artificial intelligence Mathematical statistics Data mining Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Pattern Recognition Statistical Theory and Methods Information Storage and Retrieval Artificial Intelligence Probability and Statistics in Computer Science Data Mining and Knowledge Discovery Pattern recognition Statistics Information storage and retrieval Artificial intelligence Mathematical statistics Data mining Datenanalyse |
| url | https://doi.org/10.1007/978-3-540-48625-1 |
| work_keys_str_mv | AT bertholdmichaelr intelligentdataanalysisanintroduction AT handdavidj intelligentdataanalysisanintroduction |