Knowledge discovery in databases: Techniken und Anwendungen
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | German |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2000
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | VIII, 281 S. Ill., graph. Darst. |
| ISBN: | 3540673288 |
Internformat
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| 100 | 1 | |a Ester, Martin |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Knowledge discovery in databases |b Techniken und Anwendungen |c Martin Ester ; Jörg Sander |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2000 | |
| 300 | |a VIII, 281 S. |b Ill., graph. Darst. | ||
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Datensatz im Suchindex
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| adam_text | Inhaltsverzeichnis
Einleitung 1
1.1 Grundbegriffe des Knowledge Discovery in Databases...............................1
1.2 Typische KDD- Anwendungen......................................................................6
1.3 Inhalt und Aufbau dieses Buches................................................................10
1.4 Literatur.......................................................................................................12
Grundlagen 15
2.1 Datenbanksysteme.......................................................................................15
2.2 Statistik........................................................................................................29
2.3 Literatur.......................................................................................................44
Clustering
3.1 Einleitung....................................................................................................45
3.2 Partitionierende Verfahren..........................................................................51
3.3 Hierarchische Verfahren.............................................................................76
3.4 Datenbanktechniken zur Leistungssteigerung.............................................85
3.5 Besondere Anforderungen und Verfahren..................................................97
3.6 Zusammenfassung.....................................................................................103
3.7 Literatur.....................................................................................................103
Klassifikation 107
4.1 Einleitung..................................................................................................108
4.2 Bayes-Klassifikatoren...............................................................................111
4.3 Nächste-Nachbarn-Klassifikatoren...........................................................119
4.4 Entscheidungsbaum-Klassifikatoren.........................................................126
4.5 Skalierung für große Datenbanken...........................................................138
4.6 Zusammenfassung....................................................................................156
4.7 Literatur....................................................................................................157
Assoziationsregeln 159
5.1 Einleitung..................................................................................................159
5.2 Einfache Assoziationsregeln: Der Apriori-Algorithmus..........................160
5.3 Hierarchische Assoziationsregem bezüglich Item-Taxonomien.............. 169
5.4 Quantitative Assoziationsregeln...............................................................178
5.5 Zusammenfassung....................................................................................186
5.6 Literatur....................................................................................................187
Generalisierung 189
6.1 Einleitung..................................................................................................190
6.2 Data
6.3 Effiziente Anfragebearbeitung in Data
6.4 Attributorientierte Induktion.....................................................................206
6.5 Inkrementelle attributorientierte Induktion...............................................215
6.6 Zusammenfassung....................................................................................219
6.7 Literatur....................................................................................................220
Besondere Datentypen und Anwendungen 223
7.1 Temporal Data Mining..............................................................................223
7.2
7.3 Text-und Web-Mining.............................................................................245
7.4 Literatur....................................................................................................261
Andere Paradigmen 263
8.1 Induktive Logik-Programmierung............................................................263
8.2 Genetische Algorithmen...........................................................................265
8.3 Neuronale Netze.......................................................................................266
8.4 Selbstorganisierende Karten (Kohonen
8.5 Literatur....................................................................................................273
Index 275
|
| any_adam_object | 1 |
| author | Ester, Martin Sander, Jörg |
| author_facet | Ester, Martin Sander, Jörg |
| author_role | aut aut |
| author_sort | Ester, Martin |
| author_variant | m e me j s js |
| building | Verbundindex |
| bvnumber | BV013289971 |
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| callnumber-subject | QA - Mathematics |
| classification_rvk | ST 270 ST 302 ST 515 ST 530 |
| classification_tum | DAT 669f WIR 640f |
| ctrlnum | (OCoLC)47756014 (DE-599)BVBBV013289971 |
| discipline | Informatik Wirtschaftswissenschaften |
| format | Book |
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| illustrated | Illustrated |
| indexdate | 2025-02-20T06:37:05Z |
| institution | BVB |
| isbn | 3540673288 |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009061405 |
| oclc_num | 47756014 |
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| physical | VIII, 281 S. Ill., graph. Darst. |
| publishDate | 2000 |
| publishDateSearch | 2000 |
| publishDateSort | 2000 |
| publisher | Springer |
| record_format | marc |
| spellingShingle | Ester, Martin Sander, Jörg Knowledge discovery in databases Techniken und Anwendungen Data mining Maschinelles Lernen (DE-588)4193754-5 gnd Datenbanksystem (DE-588)4113276-2 gnd Wissenserwerb (DE-588)4241169-5 gnd Wissensextraktion (DE-588)4546354-2 gnd Datenbank (DE-588)4011119-2 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4113276-2 (DE-588)4241169-5 (DE-588)4546354-2 (DE-588)4011119-2 |
| title | Knowledge discovery in databases Techniken und Anwendungen |
| title_auth | Knowledge discovery in databases Techniken und Anwendungen |
| title_exact_search | Knowledge discovery in databases Techniken und Anwendungen |
| title_full | Knowledge discovery in databases Techniken und Anwendungen Martin Ester ; Jörg Sander |
| title_fullStr | Knowledge discovery in databases Techniken und Anwendungen Martin Ester ; Jörg Sander |
| title_full_unstemmed | Knowledge discovery in databases Techniken und Anwendungen Martin Ester ; Jörg Sander |
| title_short | Knowledge discovery in databases |
| title_sort | knowledge discovery in databases techniken und anwendungen |
| title_sub | Techniken und Anwendungen |
| topic | Data mining Maschinelles Lernen (DE-588)4193754-5 gnd Datenbanksystem (DE-588)4113276-2 gnd Wissenserwerb (DE-588)4241169-5 gnd Wissensextraktion (DE-588)4546354-2 gnd Datenbank (DE-588)4011119-2 gnd |
| topic_facet | Data mining Maschinelles Lernen Datenbanksystem Wissenserwerb Wissensextraktion Datenbank |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009061405&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT estermartin knowledgediscoveryindatabasestechnikenundanwendungen AT sanderjorg knowledgediscoveryindatabasestechnikenundanwendungen |
Inhaltsverzeichnis
THWS Würzburg Teilbibliothek SHL, Raum I.2.11
| Signatur: |
1340 ST 515 E79st |
|---|---|
| Exemplar 1 | ausleihbar Verfügbar Bestellen |