Discovering knowledge in data: an introduction to data mining
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hoboken, N.J.
Wiley-Interscience
©2005
|
Schlagworte: | |
Online-Zugang: | FAW01 FAW02 Volltext |
Beschreibung: | Includes bibliographical references and index An introduction to data mining -- Data preprocessing -- Exploratory data analysis -- Statistical approaches to estimation and prediction -- k-nearest neighbor algorithm -- Decision trees -- Neural networks -- Hierarchical and k-means clustering -- Kohonen networks -- Association rules -- Model evaluation techniques Annotation Learn Data Mining by doing data miningData mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets. Employing a "white box" methodology and with real-world case studies, this step-by-step guide walks readers through the various algorithms and statistical structures that underlie the software and presents examples of their operation on actual large data sets. Principal topics include:* Data preprocessing and classification* Exploratory analysis* Decision trees* Neural and Kohonen networks* Hierarchical and k-means clustering* Association rules* Model evaluation techniquesComplete with scores of screenshots and diagrams to encourage graphical learning, Discovering Knowledge in Data: An Introduction to Data Mining gives students in Business, Computer Science, and Statistics as well as professionals in the field the power to turn any data warehouse into actionable knowledge. An Instructor's Manual presenting detailed solutions to all the problems in the book is available online |
Beschreibung: | 1 Online-Ressource (xv, 222 pages) |
ISBN: | 0471687537 0471687545 9780471687535 9780471687542 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV043160885 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | cr|uuu---uuuuu | ||
008 | 151126s2005 |||| o||u| ||||||eng d | ||
020 | |a 0471687537 |c electronic bk. |9 0-471-68753-7 | ||
020 | |a 0471687545 |9 0-471-68754-5 | ||
020 | |a 9780471687535 |c electronic bk. |9 978-0-471-68753-5 | ||
020 | |a 9780471687542 |9 978-0-471-68754-2 | ||
035 | |a (OCoLC)57683277 | ||
035 | |a (DE-599)BVBBV043160885 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
049 | |a DE-1046 |a DE-1047 | ||
082 | 0 | |a 006.3/12 |2 22 | |
084 | |a QH 500 |0 (DE-625)141607: |2 rvk | ||
084 | |a ST 530 |0 (DE-625)143679: |2 rvk | ||
100 | 1 | |a Larose, Daniel T. |e Verfasser |4 aut | |
245 | 1 | 0 | |a Discovering knowledge in data |b an introduction to data mining |c Daniel T. Larose |
264 | 1 | |a Hoboken, N.J. |b Wiley-Interscience |c ©2005 | |
300 | |a 1 Online-Ressource (xv, 222 pages) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
500 | |a Includes bibliographical references and index | ||
500 | |a An introduction to data mining -- Data preprocessing -- Exploratory data analysis -- Statistical approaches to estimation and prediction -- k-nearest neighbor algorithm -- Decision trees -- Neural networks -- Hierarchical and k-means clustering -- Kohonen networks -- Association rules -- Model evaluation techniques | ||
500 | |a Annotation Learn Data Mining by doing data miningData mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets. Employing a "white box" methodology and with real-world case studies, this step-by-step guide walks readers through the various algorithms and statistical structures that underlie the software and presents examples of their operation on actual large data sets. Principal topics include:* Data preprocessing and classification* Exploratory analysis* Decision trees* Neural and Kohonen networks* Hierarchical and k-means clustering* Association rules* Model evaluation techniquesComplete with scores of screenshots and diagrams to encourage graphical learning, Discovering Knowledge in Data: An Introduction to Data Mining gives students in Business, Computer Science, and Statistics as well as professionals in the field the power to turn any data warehouse into actionable knowledge. An Instructor's Manual presenting detailed solutions to all the problems in the book is available online | ||
650 | 4 | |a Exploration de données (Informatique) | |
650 | 7 | |a COMPUTERS / Database Management / Data Mining |2 bisacsh | |
650 | 7 | |a Data mining |2 cct | |
650 | 7 | |a Data mining |2 fast | |
650 | 7 | |a Data mining |2 gtt | |
650 | 4 | |a Data mining | |
650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Data Mining |0 (DE-588)4428654-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Informationsspeicherung |0 (DE-588)4332067-3 |2 gnd |9 rswk-swf |
655 | 7 | |8 1\p |0 (DE-588)4151278-9 |a Einführung |2 gnd-content | |
689 | 0 | 0 | |a Data Mining |0 (DE-588)4428654-5 |D s |
689 | 0 | 1 | |a Informationsspeicherung |0 (DE-588)4332067-3 |D s |
689 | 0 | 2 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
689 | 0 | |8 2\p |5 DE-604 | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 0-471-66657-2 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 978-0-471-66657-8 |
856 | 4 | 0 | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=127312 |x Aggregator |3 Volltext |
912 | |a ZDB-4-EBA | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-028585076 | ||
883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
966 | e | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=127312 |l FAW01 |p ZDB-4-EBA |q FAW_PDA_EBA |x Aggregator |3 Volltext | |
966 | e | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=127312 |l FAW02 |p ZDB-4-EBA |q FAW_PDA_EBA |x Aggregator |3 Volltext |
Datensatz im Suchindex
_version_ | 1804175631058993152 |
---|---|
any_adam_object | |
author | Larose, Daniel T. |
author_facet | Larose, Daniel T. |
author_role | aut |
author_sort | Larose, Daniel T. |
author_variant | d t l dt dtl |
building | Verbundindex |
bvnumber | BV043160885 |
classification_rvk | QH 500 ST 530 |
collection | ZDB-4-EBA |
ctrlnum | (OCoLC)57683277 (DE-599)BVBBV043160885 |
dewey-full | 006.3/12 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3/12 |
dewey-search | 006.3/12 |
dewey-sort | 16.3 212 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik Wirtschaftswissenschaften |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04341nmm a2200625zc 4500</leader><controlfield tag="001">BV043160885</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">151126s2005 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0471687537</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">0-471-68753-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0471687545</subfield><subfield code="9">0-471-68754-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780471687535</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-0-471-68753-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780471687542</subfield><subfield code="9">978-0-471-68754-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)57683277</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043160885</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-1046</subfield><subfield code="a">DE-1047</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3/12</subfield><subfield code="2">22</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">QH 500</subfield><subfield code="0">(DE-625)141607:</subfield><subfield code="2">rvk</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">Larose, Daniel T.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Discovering knowledge in data</subfield><subfield code="b">an introduction to data mining</subfield><subfield code="c">Daniel T. Larose</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hoboken, N.J.</subfield><subfield code="b">Wiley-Interscience</subfield><subfield code="c">©2005</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xv, 222 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="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">An introduction to data mining -- Data preprocessing -- Exploratory data analysis -- Statistical approaches to estimation and prediction -- k-nearest neighbor algorithm -- Decision trees -- Neural networks -- Hierarchical and k-means clustering -- Kohonen networks -- Association rules -- Model evaluation techniques</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Annotation Learn Data Mining by doing data miningData mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets. Employing a "white box" methodology and with real-world case studies, this step-by-step guide walks readers through the various algorithms and statistical structures that underlie the software and presents examples of their operation on actual large data sets. Principal topics include:* Data preprocessing and classification* Exploratory analysis* Decision trees* Neural and Kohonen networks* Hierarchical and k-means clustering* Association rules* Model evaluation techniquesComplete with scores of screenshots and diagrams to encourage graphical learning, Discovering Knowledge in Data: An Introduction to Data Mining gives students in Business, Computer Science, and Statistics as well as professionals in the field the power to turn any data warehouse into actionable knowledge. An Instructor's Manual presenting detailed solutions to all the problems in the book is available online</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Exploration de données (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Database Management / Data Mining</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data mining</subfield><subfield code="2">cct</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">Data mining</subfield><subfield code="2">gtt</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="650" ind1="0" ind2="7"><subfield code="a">Data Mining</subfield><subfield code="0">(DE-588)4428654-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Informationsspeicherung</subfield><subfield code="0">(DE-588)4332067-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="8">1\p</subfield><subfield code="0">(DE-588)4151278-9</subfield><subfield code="a">Einführung</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Data Mining</subfield><subfield code="0">(DE-588)4428654-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Informationsspeicherung</subfield><subfield code="0">(DE-588)4332067-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><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">2\p</subfield><subfield code="5">DE-604</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">0-471-66657-2</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">978-0-471-66657-8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=127312</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-028585076</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="883" ind1="1" ind2=" "><subfield code="8">2\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">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=127312</subfield><subfield code="l">FAW01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FAW_PDA_EBA</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=127312</subfield><subfield code="l">FAW02</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FAW_PDA_EBA</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
genre | 1\p (DE-588)4151278-9 Einführung gnd-content |
genre_facet | Einführung |
id | DE-604.BV043160885 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T07:19:21Z |
institution | BVB |
isbn | 0471687537 0471687545 9780471687535 9780471687542 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028585076 |
oclc_num | 57683277 |
open_access_boolean | |
owner | DE-1046 DE-1047 |
owner_facet | DE-1046 DE-1047 |
physical | 1 Online-Ressource (xv, 222 pages) |
psigel | ZDB-4-EBA ZDB-4-EBA FAW_PDA_EBA |
publishDate | 2005 |
publishDateSearch | 2005 |
publishDateSort | 2005 |
publisher | Wiley-Interscience |
record_format | marc |
spelling | Larose, Daniel T. Verfasser aut Discovering knowledge in data an introduction to data mining Daniel T. Larose Hoboken, N.J. Wiley-Interscience ©2005 1 Online-Ressource (xv, 222 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index An introduction to data mining -- Data preprocessing -- Exploratory data analysis -- Statistical approaches to estimation and prediction -- k-nearest neighbor algorithm -- Decision trees -- Neural networks -- Hierarchical and k-means clustering -- Kohonen networks -- Association rules -- Model evaluation techniques Annotation Learn Data Mining by doing data miningData mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets. Employing a "white box" methodology and with real-world case studies, this step-by-step guide walks readers through the various algorithms and statistical structures that underlie the software and presents examples of their operation on actual large data sets. Principal topics include:* Data preprocessing and classification* Exploratory analysis* Decision trees* Neural and Kohonen networks* Hierarchical and k-means clustering* Association rules* Model evaluation techniquesComplete with scores of screenshots and diagrams to encourage graphical learning, Discovering Knowledge in Data: An Introduction to Data Mining gives students in Business, Computer Science, and Statistics as well as professionals in the field the power to turn any data warehouse into actionable knowledge. An Instructor's Manual presenting detailed solutions to all the problems in the book is available online Exploration de données (Informatique) COMPUTERS / Database Management / Data Mining bisacsh Data mining cct Data mining fast Data mining gtt Data mining Datenanalyse (DE-588)4123037-1 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Informationsspeicherung (DE-588)4332067-3 gnd rswk-swf 1\p (DE-588)4151278-9 Einführung gnd-content Data Mining (DE-588)4428654-5 s Informationsspeicherung (DE-588)4332067-3 s Datenanalyse (DE-588)4123037-1 s 2\p DE-604 Erscheint auch als Druck-Ausgabe, Hardcover 0-471-66657-2 Erscheint auch als Druck-Ausgabe, Hardcover 978-0-471-66657-8 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=127312 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Larose, Daniel T. Discovering knowledge in data an introduction to data mining Exploration de données (Informatique) COMPUTERS / Database Management / Data Mining bisacsh Data mining cct Data mining fast Data mining gtt Data mining Datenanalyse (DE-588)4123037-1 gnd Data Mining (DE-588)4428654-5 gnd Informationsspeicherung (DE-588)4332067-3 gnd |
subject_GND | (DE-588)4123037-1 (DE-588)4428654-5 (DE-588)4332067-3 (DE-588)4151278-9 |
title | Discovering knowledge in data an introduction to data mining |
title_auth | Discovering knowledge in data an introduction to data mining |
title_exact_search | Discovering knowledge in data an introduction to data mining |
title_full | Discovering knowledge in data an introduction to data mining Daniel T. Larose |
title_fullStr | Discovering knowledge in data an introduction to data mining Daniel T. Larose |
title_full_unstemmed | Discovering knowledge in data an introduction to data mining Daniel T. Larose |
title_short | Discovering knowledge in data |
title_sort | discovering knowledge in data an introduction to data mining |
title_sub | an introduction to data mining |
topic | Exploration de données (Informatique) COMPUTERS / Database Management / Data Mining bisacsh Data mining cct Data mining fast Data mining gtt Data mining Datenanalyse (DE-588)4123037-1 gnd Data Mining (DE-588)4428654-5 gnd Informationsspeicherung (DE-588)4332067-3 gnd |
topic_facet | Exploration de données (Informatique) COMPUTERS / Database Management / Data Mining Data mining Datenanalyse Data Mining Informationsspeicherung Einführung |
url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=127312 |
work_keys_str_mv | AT larosedanielt discoveringknowledgeindataanintroductiontodatamining |