Grade Models and Methods for Data Analysis: With Applications for the Analysis of Data Populations
This book provides a new grade methodology for intelligent data analysis. It introduces a specific infrastructure of concepts needed to describe data analysis models and methods. This monograph is the only book presently available covering both the theory and application of grade data analysis and t...
Saved in:
| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2004
|
| Series: | Studies in Fuzziness and Soft Computing
151 |
| Subjects: | |
| Online Access: | FHI01 BTU01 Volltext |
| Summary: | This book provides a new grade methodology for intelligent data analysis. It introduces a specific infrastructure of concepts needed to describe data analysis models and methods. This monograph is the only book presently available covering both the theory and application of grade data analysis and therefore aiming both at researchers, students, as well as applied practitioners. The text is richly illustrated through examples and case studies and includes a short introduction to software implementing grade methods, which can be downloaded from the editors |
| Physical Description: | 1 Online-Ressource (X, 477 p) |
| ISBN: | 9783540399285 |
| DOI: | 10.1007/978-3-540-39928-5 |
Staff View
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV045149169 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 180827s2004 |||| o||u| ||||||eng d | ||
| 020 | |a 9783540399285 |9 978-3-540-39928-5 | ||
| 024 | 7 | |a 10.1007/978-3-540-39928-5 |2 doi | |
| 035 | |a (ZDB-2-ENG)978-3-540-39928-5 | ||
| 035 | |a (OCoLC)1050922242 | ||
| 035 | |a (DE-599)BVBBV045149169 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-573 |a DE-634 | ||
| 082 | 0 | |a 519 |2 23 | |
| 245 | 1 | 0 | |a Grade Models and Methods for Data Analysis |b With Applications for the Analysis of Data Populations |c edited by Teresa Kowalczyk, Elżbieta Pleszczyńska, Frederick Ruland |
| 264 | 1 | |a Berlin, Heidelberg |b Springer Berlin Heidelberg |c 2004 | |
| 300 | |a 1 Online-Ressource (X, 477 p) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Studies in Fuzziness and Soft Computing |v 151 | |
| 520 | |a This book provides a new grade methodology for intelligent data analysis. It introduces a specific infrastructure of concepts needed to describe data analysis models and methods. This monograph is the only book presently available covering both the theory and application of grade data analysis and therefore aiming both at researchers, students, as well as applied practitioners. The text is richly illustrated through examples and case studies and includes a short introduction to software implementing grade methods, which can be downloaded from the editors | ||
| 650 | 4 | |a Engineering | |
| 650 | 4 | |a Appl.Mathematics/Computational Methods of Engineering | |
| 650 | 4 | |a Artificial Intelligence (incl. Robotics) | |
| 650 | 4 | |a Statistical Theory and Methods | |
| 650 | 4 | |a Engineering | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Statistics | |
| 650 | 4 | |a Applied mathematics | |
| 650 | 4 | |a Engineering mathematics | |
| 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 | |8 1\p |5 DE-604 | |
| 700 | 1 | |a Kowalczyk, Teresa |4 edt | |
| 700 | 1 | |a Pleszczyńska, Elżbieta |4 edt | |
| 700 | 1 | |a Ruland, Frederick |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9783642535611 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-540-39928-5 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-2-ENG | ||
| 940 | 1 | |q ZDB-2-ENG_2000/2004 | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030538868 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 966 | e | |u https://doi.org/10.1007/978-3-540-39928-5 |l FHI01 |p ZDB-2-ENG |q ZDB-2-ENG_2000/2004 |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-540-39928-5 |l BTU01 |p ZDB-2-ENG |q ZDB-2-ENG_Archiv |x Verlag |3 Volltext | |
Record in the Search Index
| _version_ | 1804178820455989248 |
|---|---|
| any_adam_object | |
| author2 | Kowalczyk, Teresa Pleszczyńska, Elżbieta Ruland, Frederick |
| author2_role | edt edt edt |
| author2_variant | t k tk e p ep f r fr |
| author_facet | Kowalczyk, Teresa Pleszczyńska, Elżbieta Ruland, Frederick |
| building | Verbundindex |
| bvnumber | BV045149169 |
| collection | ZDB-2-ENG |
| ctrlnum | (ZDB-2-ENG)978-3-540-39928-5 (OCoLC)1050922242 (DE-599)BVBBV045149169 |
| dewey-full | 519 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519 |
| dewey-search | 519 |
| dewey-sort | 3519 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-540-39928-5 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02770nmm a2200565zcb4500</leader><controlfield tag="001">BV045149169</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">180827s2004 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783540399285</subfield><subfield code="9">978-3-540-39928-5</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-540-39928-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-ENG)978-3-540-39928-5</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1050922242</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045149169</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-573</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Grade Models and Methods for Data Analysis</subfield><subfield code="b">With Applications for the Analysis of Data Populations</subfield><subfield code="c">edited by Teresa Kowalczyk, Elżbieta Pleszczyńska, Frederick Ruland</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin, Heidelberg</subfield><subfield code="b">Springer Berlin Heidelberg</subfield><subfield code="c">2004</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (X, 477 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="490" ind1="0" ind2=" "><subfield code="a">Studies in Fuzziness and Soft Computing</subfield><subfield code="v">151</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This book provides a new grade methodology for intelligent data analysis. It introduces a specific infrastructure of concepts needed to describe data analysis models and methods. This monograph is the only book presently available covering both the theory and application of grade data analysis and therefore aiming both at researchers, students, as well as applied practitioners. The text is richly illustrated through examples and case studies and includes a short introduction to software implementing grade methods, which can be downloaded from the editors</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Appl.Mathematics/Computational Methods of Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence (incl. Robotics)</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">Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Applied mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering mathematics</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="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kowalczyk, Teresa</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pleszczyńska, Elżbieta</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ruland, Frederick</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">9783642535611</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-3-540-39928-5</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-2-ENG</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-ENG_2000/2004</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030538868</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="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-540-39928-5</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="q">ZDB-2-ENG_2000/2004</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-540-39928-5</subfield><subfield code="l">BTU01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="q">ZDB-2-ENG_Archiv</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV045149169 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:03Z |
| institution | BVB |
| isbn | 9783540399285 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538868 |
| oclc_num | 1050922242 |
| open_access_boolean | |
| owner | DE-573 DE-634 |
| owner_facet | DE-573 DE-634 |
| physical | 1 Online-Ressource (X, 477 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 2004 |
| publishDateSearch | 2004 |
| publishDateSort | 2004 |
| publisher | Springer Berlin Heidelberg |
| record_format | marc |
| series2 | Studies in Fuzziness and Soft Computing |
| spelling | Grade Models and Methods for Data Analysis With Applications for the Analysis of Data Populations edited by Teresa Kowalczyk, Elżbieta Pleszczyńska, Frederick Ruland Berlin, Heidelberg Springer Berlin Heidelberg 2004 1 Online-Ressource (X, 477 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 151 This book provides a new grade methodology for intelligent data analysis. It introduces a specific infrastructure of concepts needed to describe data analysis models and methods. This monograph is the only book presently available covering both the theory and application of grade data analysis and therefore aiming both at researchers, students, as well as applied practitioners. The text is richly illustrated through examples and case studies and includes a short introduction to software implementing grade methods, which can be downloaded from the editors Engineering Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Statistical Theory and Methods Artificial intelligence Statistics Applied mathematics Engineering mathematics Datenanalyse (DE-588)4123037-1 gnd rswk-swf Datenanalyse (DE-588)4123037-1 s 1\p DE-604 Kowalczyk, Teresa edt Pleszczyńska, Elżbieta edt Ruland, Frederick edt Erscheint auch als Druck-Ausgabe 9783642535611 https://doi.org/10.1007/978-3-540-39928-5 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Grade Models and Methods for Data Analysis With Applications for the Analysis of Data Populations Engineering Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Statistical Theory and Methods Artificial intelligence Statistics Applied mathematics Engineering mathematics Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)4123037-1 |
| title | Grade Models and Methods for Data Analysis With Applications for the Analysis of Data Populations |
| title_auth | Grade Models and Methods for Data Analysis With Applications for the Analysis of Data Populations |
| title_exact_search | Grade Models and Methods for Data Analysis With Applications for the Analysis of Data Populations |
| title_full | Grade Models and Methods for Data Analysis With Applications for the Analysis of Data Populations edited by Teresa Kowalczyk, Elżbieta Pleszczyńska, Frederick Ruland |
| title_fullStr | Grade Models and Methods for Data Analysis With Applications for the Analysis of Data Populations edited by Teresa Kowalczyk, Elżbieta Pleszczyńska, Frederick Ruland |
| title_full_unstemmed | Grade Models and Methods for Data Analysis With Applications for the Analysis of Data Populations edited by Teresa Kowalczyk, Elżbieta Pleszczyńska, Frederick Ruland |
| title_short | Grade Models and Methods for Data Analysis |
| title_sort | grade models and methods for data analysis with applications for the analysis of data populations |
| title_sub | With Applications for the Analysis of Data Populations |
| topic | Engineering Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Statistical Theory and Methods Artificial intelligence Statistics Applied mathematics Engineering mathematics Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Engineering Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Statistical Theory and Methods Artificial intelligence Statistics Applied mathematics Engineering mathematics Datenanalyse |
| url | https://doi.org/10.1007/978-3-540-39928-5 |
| work_keys_str_mv | AT kowalczykteresa grademodelsandmethodsfordataanalysiswithapplicationsfortheanalysisofdatapopulations AT pleszczynskaelzbieta grademodelsandmethodsfordataanalysiswithapplicationsfortheanalysisofdatapopulations AT rulandfrederick grademodelsandmethodsfordataanalysiswithapplicationsfortheanalysisofdatapopulations |