Data mining :: concepts and techniques /
" ... Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: dat...
Gespeichert in:
1. Verfasser: | |
---|---|
Weitere Verfasser: | , |
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Amsterdam ; Boston :
Elsevier/Morgan Kaufmann,
©2012.
|
Ausgabe: | 3rd ed. |
Schriftenreihe: | Morgan Kaufmann series in data management systems.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | " ... Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. * Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. *Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data."--Publisher. |
Beschreibung: | 1 online resource (xxxv, 703 pages) : illustrations. |
Bibliographie: | Includes bibliographical references (pages 633-671) and index. |
ISBN: | 9780123814807 0123814804 |
Internformat
MARC
LEADER | 00000cam a2200000 a 4500 | ||
---|---|---|---|
001 | ZDB-4-EBA-ocn742421886 | ||
003 | OCoLC | ||
005 | 20241004212047.0 | ||
006 | m o d | ||
007 | cr mn||||||||| | ||
008 | 110725s2012 ne a ob 001 0 eng d | ||
040 | |a N$T |b eng |e pn |c N$T |d YDXCP |d E7B |d CEF |d OCLCQ |d OSU |d TEFOD |d VPI |d UIU |d OCLCQ |d DEBSZ |d OCLCQ |d VLB |d OCLCA |d IAI |d OCLCA |d ORE |d OCLCF |d NLGGC |d INNDH |d MM9 |d TEFOD |d OCLCQ |d ICA |d MERUC |d AGLDB |d K6U |d SAV |d OCLCQ |d U3W |d COCUF |d D6H |d OCLCQ |d VTS |d INT |d OCLCQ |d COO |d AU@ |d OCLCQ |d STF |d YDX |d C6I |d CNCEN |d ERF |d OCLCO |d OCLCQ |d OCLCO |d OCLCQ |d OCLCL | ||
019 | |a 750150966 |a 809247810 |a 1058078683 |a 1060195088 |a 1104687838 |a 1105794160 |a 1112578274 | ||
020 | |a 9780123814807 |q (electronic bk.) | ||
020 | |a 0123814804 |q (electronic bk.) | ||
020 | |z 9780123814791 | ||
020 | |z 0123814790 | ||
024 | 8 | |a C20090618195 | |
024 | 8 | |a 9780123814791 | |
035 | |a (OCoLC)742421886 |z (OCoLC)750150966 |z (OCoLC)809247810 |z (OCoLC)1058078683 |z (OCoLC)1060195088 |z (OCoLC)1104687838 |z (OCoLC)1105794160 |z (OCoLC)1112578274 | ||
037 | |a 99048DC7-0553-4A88-89D5-4D17A11F2348 |b OverDrive, Inc. |n http://www.overdrive.com | ||
050 | 4 | |a QA76.9.D343 |b H36 2011eb | |
072 | 7 | |a COM |x 021030 |2 bisacsh | |
082 | 7 | |a 006.3/12 |2 22 | |
049 | |a MAIN | ||
100 | 1 | |a Han, Jiawei. | |
245 | 1 | 0 | |a Data mining : |b concepts and techniques / |c Jiawei Han, Micheline Kamber, Jian Pei. |
250 | |a 3rd ed. | ||
260 | |a Amsterdam ; |a Boston : |b Elsevier/Morgan Kaufmann, |c ©2012. | ||
300 | |a 1 online resource (xxxv, 703 pages) : |b illustrations. | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file | ||
490 | 1 | |a The Morgan Kaufmann series in data management systems | |
505 | 0 | |a Introduction -- Getting to know your data -- Data processing -- Data warehousing and online analytical processing -- Data cube technology -- Mining frequent patterns, associations, and correlations : basic concepts and methods -- Advanced pattern mining -- Classification : basic concepts -- Classification : advanced methods -- Cluster analysis : basic concepts and methods -- Advanced cluster analysis -- Outlier detection -- Data mining trends and research frontiers. | |
520 | 3 | |a " ... Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. * Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. *Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data."--Publisher. | |
504 | |a Includes bibliographical references (pages 633-671) and index. | ||
588 | 0 | |a Print version record. | |
542 | |f Copyright: Elsevier Science & Technology |g 2012 | ||
542 | |f Copyright ©: Elsevier Science & Technology |g 2012 | ||
650 | 0 | |a Data mining. |0 http://id.loc.gov/authorities/subjects/sh97002073 | |
650 | 6 | |a Exploration de données (Informatique) | |
650 | 7 | |a COMPUTERS |x Database Management |x Data Mining. |2 bisacsh | |
650 | 7 | |a COMPUTERS |e Database Management |x Data Mining. |2 bisacsh | |
650 | 7 | |a Fouille de données. |2 eclas | |
650 | 7 | |a Data mining |2 fast | |
650 | 7 | |a Data Mining |2 gnd |0 http://d-nb.info/gnd/4428654-5 | |
650 | 7 | |a Data mining. |2 sao | |
700 | 1 | |a Kamber, Micheline. | |
700 | 1 | |a Pei, Jian |c (Computer scientist) |0 http://id.loc.gov/authorities/names/no2011114139 | |
758 | |i has work: |a Data mining (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGc3X7TbHWjqJV69XBXcfq |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
776 | 0 | 8 | |i Print version: |a Han, Jiawei. |t Data mining. |b 3rd ed. |d Amsterdam ; Boston, MA : Morgan Kaufmann, ©2012 |z 9780123814791 |w (OCoLC)752316214 |
830 | 0 | |a Morgan Kaufmann series in data management systems. |0 http://id.loc.gov/authorities/names/n90627178 | |
856 | 4 | 0 | |l FWS01 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=377411 |3 Volltext |
938 | |a ebrary |b EBRY |n ebr10483440 | ||
938 | |a EBSCOhost |b EBSC |n 377411 | ||
938 | |a YBP Library Services |b YANK |n 6973058 | ||
994 | |a 92 |b GEBAY | ||
912 | |a ZDB-4-EBA | ||
049 | |a DE-863 |
Datensatz im Suchindex
DE-BY-FWS_katkey | ZDB-4-EBA-ocn742421886 |
---|---|
_version_ | 1816881765839536128 |
adam_text | |
any_adam_object | |
author | Han, Jiawei |
author2 | Kamber, Micheline Pei, Jian (Computer scientist) |
author2_role | |
author2_variant | m k mk j p jp |
author_GND | http://id.loc.gov/authorities/names/no2011114139 |
author_facet | Han, Jiawei Kamber, Micheline Pei, Jian (Computer scientist) |
author_role | |
author_sort | Han, Jiawei |
author_variant | j h jh |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | Q - Science |
callnumber-label | QA76 |
callnumber-raw | QA76.9.D343 H36 2011eb |
callnumber-search | QA76.9.D343 H36 2011eb |
callnumber-sort | QA 276.9 D343 H36 42011EB |
callnumber-subject | QA - Mathematics |
collection | ZDB-4-EBA |
contents | Introduction -- Getting to know your data -- Data processing -- Data warehousing and online analytical processing -- Data cube technology -- Mining frequent patterns, associations, and correlations : basic concepts and methods -- Advanced pattern mining -- Classification : basic concepts -- Classification : advanced methods -- Cluster analysis : basic concepts and methods -- Advanced cluster analysis -- Outlier detection -- Data mining trends and research frontiers. |
ctrlnum | (OCoLC)742421886 |
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 |
edition | 3rd ed. |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04995cam a2200673 a 4500</leader><controlfield tag="001">ZDB-4-EBA-ocn742421886</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20241004212047.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr mn|||||||||</controlfield><controlfield tag="008">110725s2012 ne a ob 001 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">N$T</subfield><subfield code="b">eng</subfield><subfield code="e">pn</subfield><subfield code="c">N$T</subfield><subfield code="d">YDXCP</subfield><subfield code="d">E7B</subfield><subfield code="d">CEF</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OSU</subfield><subfield code="d">TEFOD</subfield><subfield code="d">VPI</subfield><subfield code="d">UIU</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">DEBSZ</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">VLB</subfield><subfield code="d">OCLCA</subfield><subfield code="d">IAI</subfield><subfield code="d">OCLCA</subfield><subfield code="d">ORE</subfield><subfield code="d">OCLCF</subfield><subfield code="d">NLGGC</subfield><subfield code="d">INNDH</subfield><subfield code="d">MM9</subfield><subfield code="d">TEFOD</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">ICA</subfield><subfield code="d">MERUC</subfield><subfield code="d">AGLDB</subfield><subfield code="d">K6U</subfield><subfield code="d">SAV</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">U3W</subfield><subfield code="d">COCUF</subfield><subfield code="d">D6H</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">VTS</subfield><subfield code="d">INT</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">COO</subfield><subfield code="d">AU@</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">STF</subfield><subfield code="d">YDX</subfield><subfield code="d">C6I</subfield><subfield code="d">CNCEN</subfield><subfield code="d">ERF</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCL</subfield></datafield><datafield tag="019" ind1=" " ind2=" "><subfield code="a">750150966</subfield><subfield code="a">809247810</subfield><subfield code="a">1058078683</subfield><subfield code="a">1060195088</subfield><subfield code="a">1104687838</subfield><subfield code="a">1105794160</subfield><subfield code="a">1112578274</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780123814807</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0123814804</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9780123814791</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">0123814790</subfield></datafield><datafield tag="024" ind1="8" ind2=" "><subfield code="a">C20090618195</subfield></datafield><datafield tag="024" ind1="8" ind2=" "><subfield code="a">9780123814791</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)742421886</subfield><subfield code="z">(OCoLC)750150966</subfield><subfield code="z">(OCoLC)809247810</subfield><subfield code="z">(OCoLC)1058078683</subfield><subfield code="z">(OCoLC)1060195088</subfield><subfield code="z">(OCoLC)1104687838</subfield><subfield code="z">(OCoLC)1105794160</subfield><subfield code="z">(OCoLC)1112578274</subfield></datafield><datafield tag="037" ind1=" " ind2=" "><subfield code="a">99048DC7-0553-4A88-89D5-4D17A11F2348</subfield><subfield code="b">OverDrive, Inc.</subfield><subfield code="n">http://www.overdrive.com</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.9.D343</subfield><subfield code="b">H36 2011eb</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="x">021030</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">006.3/12</subfield><subfield code="2">22</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">MAIN</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Han, Jiawei.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Data mining :</subfield><subfield code="b">concepts and techniques /</subfield><subfield code="c">Jiawei Han, Micheline Kamber, Jian Pei.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">3rd ed.</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Amsterdam ;</subfield><subfield code="a">Boston :</subfield><subfield code="b">Elsevier/Morgan Kaufmann,</subfield><subfield code="c">©2012.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (xxxv, 703 pages) :</subfield><subfield code="b">illustrations.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">text file</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">The Morgan Kaufmann series in data management systems</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Introduction -- Getting to know your data -- Data processing -- Data warehousing and online analytical processing -- Data cube technology -- Mining frequent patterns, associations, and correlations : basic concepts and methods -- Advanced pattern mining -- Classification : basic concepts -- Classification : advanced methods -- Cluster analysis : basic concepts and methods -- Advanced cluster analysis -- Outlier detection -- Data mining trends and research frontiers.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">" ... Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. * Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. *Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data."--Publisher.</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references (pages 633-671) and index.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Print version record.</subfield></datafield><datafield tag="542" ind1=" " ind2=" "><subfield code="f">Copyright: Elsevier Science & Technology</subfield><subfield code="g">2012</subfield></datafield><datafield tag="542" ind1=" " ind2=" "><subfield code="f">Copyright &#169: Elsevier Science & Technology</subfield><subfield code="g">2012</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh97002073</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Exploration de données (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS</subfield><subfield code="x">Database Management</subfield><subfield code="x">Data Mining.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS</subfield><subfield code="e">Database Management</subfield><subfield code="x">Data Mining.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Fouille de données.</subfield><subfield code="2">eclas</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">gnd</subfield><subfield code="0">http://d-nb.info/gnd/4428654-5</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data mining.</subfield><subfield code="2">sao</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kamber, Micheline.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pei, Jian</subfield><subfield code="c">(Computer scientist)</subfield><subfield code="0">http://id.loc.gov/authorities/names/no2011114139</subfield></datafield><datafield tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">Data mining (Text)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PCGc3X7TbHWjqJV69XBXcfq</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Han, Jiawei.</subfield><subfield code="t">Data mining.</subfield><subfield code="b">3rd ed.</subfield><subfield code="d">Amsterdam ; Boston, MA : Morgan Kaufmann, ©2012</subfield><subfield code="z">9780123814791</subfield><subfield code="w">(OCoLC)752316214</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Morgan Kaufmann series in data management systems.</subfield><subfield code="0">http://id.loc.gov/authorities/names/n90627178</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=377411</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">ebrary</subfield><subfield code="b">EBRY</subfield><subfield code="n">ebr10483440</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">377411</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">YBP Library Services</subfield><subfield code="b">YANK</subfield><subfield code="n">6973058</subfield></datafield><datafield tag="994" ind1=" " ind2=" "><subfield code="a">92</subfield><subfield code="b">GEBAY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
id | ZDB-4-EBA-ocn742421886 |
illustrated | Illustrated |
indexdate | 2024-11-27T13:17:55Z |
institution | BVB |
isbn | 9780123814807 0123814804 |
language | English |
oclc_num | 742421886 |
open_access_boolean | |
owner | MAIN DE-863 DE-BY-FWS |
owner_facet | MAIN DE-863 DE-BY-FWS |
physical | 1 online resource (xxxv, 703 pages) : illustrations. |
psigel | ZDB-4-EBA |
publishDate | 2012 |
publishDateSearch | 2012 |
publishDateSort | 2012 |
publisher | Elsevier/Morgan Kaufmann, |
record_format | marc |
series | Morgan Kaufmann series in data management systems. |
series2 | The Morgan Kaufmann series in data management systems |
spelling | Han, Jiawei. Data mining : concepts and techniques / Jiawei Han, Micheline Kamber, Jian Pei. 3rd ed. Amsterdam ; Boston : Elsevier/Morgan Kaufmann, ©2012. 1 online resource (xxxv, 703 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file The Morgan Kaufmann series in data management systems Introduction -- Getting to know your data -- Data processing -- Data warehousing and online analytical processing -- Data cube technology -- Mining frequent patterns, associations, and correlations : basic concepts and methods -- Advanced pattern mining -- Classification : basic concepts -- Classification : advanced methods -- Cluster analysis : basic concepts and methods -- Advanced cluster analysis -- Outlier detection -- Data mining trends and research frontiers. " ... Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. * Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. *Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data."--Publisher. Includes bibliographical references (pages 633-671) and index. Print version record. Copyright: Elsevier Science & Technology 2012 Copyright ©: Elsevier Science & Technology 2012 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Exploration de données (Informatique) COMPUTERS Database Management Data Mining. bisacsh Fouille de données. eclas Data mining fast Data Mining gnd http://d-nb.info/gnd/4428654-5 Data mining. sao Kamber, Micheline. Pei, Jian (Computer scientist) http://id.loc.gov/authorities/names/no2011114139 has work: Data mining (Text) https://id.oclc.org/worldcat/entity/E39PCGc3X7TbHWjqJV69XBXcfq https://id.oclc.org/worldcat/ontology/hasWork Print version: Han, Jiawei. Data mining. 3rd ed. Amsterdam ; Boston, MA : Morgan Kaufmann, ©2012 9780123814791 (OCoLC)752316214 Morgan Kaufmann series in data management systems. http://id.loc.gov/authorities/names/n90627178 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=377411 Volltext |
spellingShingle | Han, Jiawei Data mining : concepts and techniques / Morgan Kaufmann series in data management systems. Introduction -- Getting to know your data -- Data processing -- Data warehousing and online analytical processing -- Data cube technology -- Mining frequent patterns, associations, and correlations : basic concepts and methods -- Advanced pattern mining -- Classification : basic concepts -- Classification : advanced methods -- Cluster analysis : basic concepts and methods -- Advanced cluster analysis -- Outlier detection -- Data mining trends and research frontiers. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Exploration de données (Informatique) COMPUTERS Database Management Data Mining. bisacsh Fouille de données. eclas Data mining fast Data Mining gnd http://d-nb.info/gnd/4428654-5 Data mining. sao |
subject_GND | http://id.loc.gov/authorities/subjects/sh97002073 http://d-nb.info/gnd/4428654-5 |
title | Data mining : concepts and techniques / |
title_auth | Data mining : concepts and techniques / |
title_exact_search | Data mining : concepts and techniques / |
title_full | Data mining : concepts and techniques / Jiawei Han, Micheline Kamber, Jian Pei. |
title_fullStr | Data mining : concepts and techniques / Jiawei Han, Micheline Kamber, Jian Pei. |
title_full_unstemmed | Data mining : concepts and techniques / Jiawei Han, Micheline Kamber, Jian Pei. |
title_short | Data mining : |
title_sort | data mining concepts and techniques |
title_sub | concepts and techniques / |
topic | Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Exploration de données (Informatique) COMPUTERS Database Management Data Mining. bisacsh Fouille de données. eclas Data mining fast Data Mining gnd http://d-nb.info/gnd/4428654-5 Data mining. sao |
topic_facet | Data mining. Exploration de données (Informatique) COMPUTERS Database Management Data Mining. Fouille de données. Data mining Data Mining |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=377411 |
work_keys_str_mv | AT hanjiawei dataminingconceptsandtechniques AT kambermicheline dataminingconceptsandtechniques AT peijian dataminingconceptsandtechniques |