Data Mining: Modelle und Algorithmen intelligenter Datenanalyse
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | German |
| Veröffentlicht: |
Wiesbaden
Springer Vieweg
[2015]
|
| Ausgabe: | 2., aktualisierte Auflage |
| Schriftenreihe: | Computational Intelligence
|
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | XII, 145 Seiten Diagramme 240 mm x 168 mm |
| ISBN: | 3834816949 9783834816948 |
Internformat
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Datensatz im Suchindex
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1 Einführung. 1
1.1 Daten. 1
1.2 Data Mining, Data Analytics und Knowledge Discovery. 2
Literatur. 3
2 Daten und Relationen . 5
2.1 Der Iris-Datensatz. 5
2.2 Maßskalen. 6
2.3 Mengen-und Matrixdarstellung. 10
2.4 Relationen. 11
2.5 Unähnlichkeitsmaße. 12
2.6 Ähnlichkeitsmaße. 14
2.7 Sequenzrelationen. 16
2.8 Abtastung und Quantisierung. 18
Literatur. 22
3 Datenvorverarbeitung. 23
3.1 Fehlerarten. 23
3.2 Behandlung fehlerhafter Daten. 26
3.3 Filterung . 27
3.4 Datentransformationen. 32
3.5 Daten Integration. 35
Literatur. 36
4 Datenvisualisierung . 37
4.1 Diagramme. 37
4.2 Hauptkomponentenanalyse. 39
4.3 Mehrdimensionale Skalierung. 43
4.4 Sammon-Abbildung. 47
4.5 Auto-Assoziator. 51
4.6 Histogramme. 51
VN
VIII
Inhaltsverzeichnis
4.7 Spektralanalyse. 54
Literatur. 58
5 Korrelation. 59
5.1 Lineare Korrelation. 59
5.2 Korrelation und Kausalität. 61
5.3 Chi-Quadrat-Test auf Unabhängigkeit. 63
Literatur. 65
6 Regression . 67
6.1 Lineare Regression. 67
6.2 Lineare Regression mit nichtlinearer Substitution . 71
6.3 Robuste Regression . 72
6.4 Neuronale Netze. 72
6.5 Radiale Basisfunktionen . 76
6.6 Kreuzvalidierung . 78
6.7 Merkmalsselektion. 80
Literatur. 82
7 Prognose. 83
7.1 Endliche Zustandsautomaten. 83
7.2 Rekurrente Modelle. 85
7.3 Autoregressive Modelle. 86
Literatur. 87
8 Klassifikation. 89
8.1 Klassifikationskriterien . 89
8.2 Naiver Bayes Klassifikator . 93
8.3 Lineare Diskriminanzanalyse. 96
8.4 Supportvektormaschine. 98
8.5 Nächster-Nachbar- Klassifikator. 100
8.6 Lernende Vektorquantisierung. 101
8.7 Entscheidungsbäume. 102
Literatur. 106 9
9 Clustering. 109
9.1 Clusterpartitionen. 109
9.2 Sequenzielles Clustering. Ill
9.3 Prototypbasiertes Clustering. 114
9.4 Fuzzy-Clustering. 116
9.5 Relationales Clustering . 121
9.6 Clustertendenz. 125
9.7 Clustervalidität. 126
Inhaltsverzeichnis
IX
9.8 Selbstorganisierende Karte . 127
Literatur. 129
Anhang: Optimierungsverfahren. 131
Lösungen der Übungsaufgaben. 135
Sachverzeichnis. 139 |
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| edition | 2., aktualisierte Auflage |
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| illustrated | Not Illustrated |
| indexdate | 2024-08-03T02:38:24Z |
| institution | BVB |
| isbn | 3834816949 9783834816948 |
| language | German |
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| physical | XII, 145 Seiten Diagramme 240 mm x 168 mm |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Springer Vieweg |
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| series2 | Computational Intelligence |
| spelling | Runkler, Thomas A. Verfasser (DE-588)12200566X aut Data Mining Modelle und Algorithmen intelligenter Datenanalyse Thomas A. Runkler 2., aktualisierte Auflage Wiesbaden Springer Vieweg [2015] © 2015 XII, 145 Seiten Diagramme 240 mm x 168 mm txt rdacontent n rdamedia nc rdacarrier Computational Intelligence Data Mining (DE-588)4428654-5 gnd rswk-swf Data Mining (DE-588)4428654-5 s DE-604 text/html http://deposit.dnb.de/cgi-bin/dokserv?id=4056874&prov=M&dok_var=1&dok_ext=htm Inhaltstext Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028219949&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Runkler, Thomas A. Data Mining Modelle und Algorithmen intelligenter Datenanalyse Data Mining (DE-588)4428654-5 gnd |
| subject_GND | (DE-588)4428654-5 |
| title | Data Mining Modelle und Algorithmen intelligenter Datenanalyse |
| title_auth | Data Mining Modelle und Algorithmen intelligenter Datenanalyse |
| title_exact_search | Data Mining Modelle und Algorithmen intelligenter Datenanalyse |
| title_full | Data Mining Modelle und Algorithmen intelligenter Datenanalyse Thomas A. Runkler |
| title_fullStr | Data Mining Modelle und Algorithmen intelligenter Datenanalyse Thomas A. Runkler |
| title_full_unstemmed | Data Mining Modelle und Algorithmen intelligenter Datenanalyse Thomas A. Runkler |
| title_short | Data Mining |
| title_sort | data mining modelle und algorithmen intelligenter datenanalyse |
| title_sub | Modelle und Algorithmen intelligenter Datenanalyse |
| topic | Data Mining (DE-588)4428654-5 gnd |
| topic_facet | Data Mining |
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