Data Analytics in Produktion und Logistik:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | German |
Veröffentlicht: |
Würzburg
Vogel Communications Group
2019
|
Ausgabe: | 1. Auflage |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis Inhaltsverzeichnis |
Beschreibung: | Literaturverzeichnis Seite 197-201 |
Beschreibung: | 205 Seiten Illustrationen, Diagramme 25 cm |
ISBN: | 9783834334190 3834334197 |
Internformat
MARC
LEADER | 00000nam a22000008c 4500 | ||
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003 | DE-604 | ||
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084 | |a DAT 620f |2 stub | ||
084 | |a 620 |2 sdnb | ||
100 | 1 | |a Kröckel, Johannes |e Verfasser |0 (DE-588)104619562X |4 aut | |
245 | 1 | 0 | |a Data Analytics in Produktion und Logistik |c Dr. Johannes Kröckel |
250 | |a 1. Auflage | ||
264 | 1 | |a Würzburg |b Vogel Communications Group |c 2019 | |
300 | |a 205 Seiten |b Illustrationen, Diagramme |c 25 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
500 | |a Literaturverzeichnis Seite 197-201 | ||
650 | 0 | 7 | |a Informationsmanagement |0 (DE-588)4114012-6 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Logistik |0 (DE-588)4036210-3 |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 Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Produktion |0 (DE-588)4047347-8 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Wirtschaftsinformatik |0 (DE-588)4112736-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Data Scientist |0 (DE-588)1168760348 |2 gnd |9 rswk-swf |
653 | |a Big Data | ||
653 | |a Business Analyst | ||
653 | |a Business-Verständnis | ||
653 | |a Data Engineer | ||
653 | |a Data Scientist | ||
653 | |a Datenanalyst | ||
653 | |a Datenaufbereitung | ||
653 | |a Datenverständnis | ||
653 | |a Datenvorverarbeitung | ||
653 | |a Deskriptive Analysen | ||
653 | |a Evaluation | ||
653 | |a Hadoop-Ökosystem | ||
653 | |a Kovarianz Korrelation | ||
653 | |a Logistische Regression | ||
653 | |a Machine -Learning | ||
653 | |a Modellentwicklung | ||
653 | |a Modellierung | ||
653 | |a NoSQL-Datenbanksysteme | ||
653 | |a One-Class Support Vector Machine | ||
653 | |a Operationalisierung | ||
653 | |a Pivot-Tabellen | ||
653 | |a Process Mining | ||
653 | |a Quartile Whiskers Boxplots | ||
653 | |a Random Forest | ||
653 | |a Relationale Datenbanksysteme | ||
653 | |a Software-Entwickler | ||
653 | |a Software-Entwickler Systemadministrator Business-Verständnis Use-Case-Verständnis | ||
653 | |a Streuungsdiagramme | ||
653 | |a Streuungsmatrizen | ||
653 | |a Supervised Learning Regressionen | ||
653 | |a Support Vector Machine | ||
653 | |a Systemadministrator | ||
653 | |a Unsupervised Learning | ||
653 | |a Use-Case-Verständnis | ||
653 | |a Visuelle Analysen | ||
653 | |a Workflow-basierte Tools | ||
653 | |a k-Means k-Medoids | ||
653 | |a k-Nearest Neighbor | ||
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Datensatz im Suchindex
DE-BY-862_location | 2000 |
---|---|
DE-BY-FWS_call_number | 2000/ST 530 K93 |
DE-BY-FWS_katkey | 729133 |
DE-BY-FWS_media_number | 083000508865 |
_version_ | 1806527633348886528 |
adam_text |
VORWORT
.
5
1
EINFUEHRUNG
.
11
2
ROLLEN
UND
TEAMSTRUKTUR
.
15
2.1
ROLLEN
.
15
2.1.1
DATENANALYST
/
DATA
SCIENTIST
.
16
2.1.2
DATA
ENGINEER
/
DATA
ARCHITECT
.
18
2.1.3
BUSINESS
ANALYST
/
FACHBEREICH
.
19
2.1.4
SOFTWARE-ENTWICKLER
/
SYSTEMADMINISTRATOR
.
19
2.2
TEAMAUFBAU
.
21
2.2.1
TEAMSTRUKTUR
.
21
2.2.2
HIRING
.
22
3
VORGEHEN
.
25
3.1
ARTEN
VON
PROJEKTEN
.
25
3.2
PROJEKTVORBEREITUNG
.
27
3.3
VORGEHENSMODELL
.
35
3.3.1
BUSINESS-/USE-CASE-VERSTAENDNIS
.
36
3.3.2
DATENVERSTAENDNIS
.
39
3.3.3
DATENAUFBEREITUNG
.
44
3.3.4
MODELLIERUNG
.
46
3.3.5
EVALUATION
.
48
3.3.6
OPERATIONALISIERUNG
.
48
4
DATEN
.
57
4.1
VOLUME
(MENGE)
.
57
4.2
VELOCITY
(GESCHWINDIGKEIT)
.
58
4.3
VARIETY
(VIELFAELTIGKEIT)
.
59
4.4
VERACITY
(GLAUBWUERDIGKEIT)
.
62
4.5
VALUE
(WERT)
.
63
5
HANDWERKSZEUG
.
65
5.1
METHODEN
.
65
5.1.1
BEGRIFFLICHSTEN
.
65
5.1.2
DESKRIPTIVE
ANALYSEN
.
69
5.1.2.1
HAEUFIGKEITSVERTEILUNGEN
UND
HISTOGRAMME
.
69
5.1.2.2
LAGE-
UND
STREUUNGSMASSE
.
69
5.1.2.3
QUARTILE,
WHISKERS
UND
BOXPLOTS
.
72
5.1.2.4
STREUUNGSDIAGRAMME
UND
-MATRIZEN
.
74
5.1.2.5
KOVARIANZ
UND
KORRELATION
.
74
5.1.3
DATENVORVERARBEITUNG
.
76
5.1.3.1
AGGREGATION
UND
PIVOT-TABELLEN
.
76
5.1.3.2
TRANSFORMATION
VON
ZEICHENKETTEN
.
77
5.1.3.3
NORMALISIERUNG
.
79
5.1.3.4
IMPUTATION
-
AUFFUELLEN
FEHLENDER
DATEN
.
79
5.1.3.5
SELEKTION
UND
REDUKTION
VON
ATTRIBUTEN
.
80
5.1.4
ZEITREIHEN
.
83
5.1.5
SUPERVISED
LEARNING
.
88
5.1.5.1
REGRESSIONEN
.
89
5.1.5.2
LOGISTISCHE
REGRESSION
.
93
5.1.5.3
SUPPORT
VECTOR
MACHINE
.
95
5.1.5.4
K-NEAREST
NEIGHBOR
.
97
5.1.5.5
NAIVE
BAYES
.
98
5.1.5.6
ENTSCHEIDUNGSBAEUME
.
99
5.1.5.7
RANDOM
FOREST
.
102
5.1.6
UNSUPERVISED
LEARNING
.
103
5.1.6.1
K-MEANS
/
K-MEDOIDS
.
103
5.1.6.2
ONE-CLASS
SUPPORT
VECTOR
MACHINE
.
104
5.1.6.3
AUSREISSERERKENNUNG
.
105
5.1.7
EXKURS
DEEP
LEARNING
.
108
5.1.8
METHODENUEBERBLICK
.
113
5.1.9
EVALUATION
UND
OPTIMIERUNG
VON
MODELLEN
.
113
5.1.9.1
QUALITAETSKENNZAHLEN
.
114
5.1.9.2
VALIDIERUNG
DER
QUALITAET
.
119
5.1.9.3
OPTIMIERUNGSMOEGLICHKEITEN
.
122
5.2
TECHNOLOGIEN
UND
TOOLS
.
125
5.2.1
SPEICHERTECHNOLOGIEN
.
126
5.2.1.1
RELATIONALE
DATENBANKSYSTEME
.
126
5.2.1.2
NOSQL-DATENBANKSYSTEME
.
130
5.2.1.3
HADOOP-OEKOSYSTEM
.
133
5.2.2
ETL
.
135
5.2.3
ANALYTICS
.
136
5.2.3.1
VISUELLE
/
WORKFLOW-BASIERTE
TOOLS
.
137
5.2.3.2
PROGRAMMIERSPRACHEN
.
138
5.2.3.3
NOTEBOOKS
.
140
5.2.4
VISUALISIERUNG
.
143
6
USE
CASES
.145
6.1
PROZESSE
.145
6.1.1
BESCHREIBUNG
.
145
6.1.2
HERANGEHENSWEISE
.
147
6.1.3
DESKRIPTIVE
ANALYSEN
.
149
6.1.4
PROCESS
MINING
.
154
6.2
BERICHTE
.
157
6.2.1
BESCHREIBUNG
.
157
6.2.2
HERANGEHENSWEISE
.
158
6.2.3
VORBEREITUNG
.
159
6.2.4
MODELLENTWICKLUNG
.
164
6.3
WARTUNG
.167
6.3.1
BESCHREIBUNG
.
167
6.3.2
HERANGEHENSWEISE
.
170
6.3.3
MODELLENTWICKLUNG
.
171
6.4
TRANSPORTE
.
176
6.4.1
BESCHREIBUNG
.
176
6.4.2
VORBEREITUNG
.
177
6.4.3
VISUELLE
ANALYSEN
.
179
ANWENDERSTORIES
VON
KOERBER
DIGITAL:
PER
CO-INNOVATION
AUF
DER
ERFOLGSSPUR
.
187
ABKUERZUNGEN
.195
QUELLENVERZEICHNIS
.
197
STICHWORTVERZEICHNIS
.
203 |
any_adam_object | 1 |
author | Kröckel, Johannes |
author_GND | (DE-588)104619562X |
author_facet | Kröckel, Johannes |
author_role | aut |
author_sort | Kröckel, Johannes |
author_variant | j k jk |
building | Verbundindex |
bvnumber | BV045551527 |
classification_rvk | ST 530 QP 530 QP 345 |
classification_tum | WIR 780f WIR 750f DAT 620f |
ctrlnum | (OCoLC)1104928999 (DE-599)DNB1174009888 |
discipline | Maschinenbau / Maschinenwesen Informatik Arbeitswissenschaften Wirtschaftswissenschaften |
edition | 1. Auflage |
format | Book |
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id | DE-604.BV045551527 |
illustrated | Illustrated |
indexdate | 2024-08-05T08:23:25Z |
institution | BVB |
institution_GND | (DE-588)106543412X |
isbn | 9783834334190 3834334197 |
language | German |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030935492 |
oclc_num | 1104928999 |
open_access_boolean | |
owner | DE-M347 DE-1102 DE-1050 DE-92 DE-91G DE-BY-TUM DE-Aug4 DE-858 DE-210 DE-1043 DE-898 DE-BY-UBR DE-12 DE-1051 DE-860 DE-20 DE-859 DE-N2 DE-573 DE-862 DE-BY-FWS |
owner_facet | DE-M347 DE-1102 DE-1050 DE-92 DE-91G DE-BY-TUM DE-Aug4 DE-858 DE-210 DE-1043 DE-898 DE-BY-UBR DE-12 DE-1051 DE-860 DE-20 DE-859 DE-N2 DE-573 DE-862 DE-BY-FWS |
physical | 205 Seiten Illustrationen, Diagramme 25 cm |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Vogel Communications Group |
record_format | marc |
spellingShingle | Kröckel, Johannes Data Analytics in Produktion und Logistik Informationsmanagement (DE-588)4114012-6 gnd Logistik (DE-588)4036210-3 gnd Data Mining (DE-588)4428654-5 gnd Datenanalyse (DE-588)4123037-1 gnd Produktion (DE-588)4047347-8 gnd Wirtschaftsinformatik (DE-588)4112736-5 gnd Data Scientist (DE-588)1168760348 gnd |
subject_GND | (DE-588)4114012-6 (DE-588)4036210-3 (DE-588)4428654-5 (DE-588)4123037-1 (DE-588)4047347-8 (DE-588)4112736-5 (DE-588)1168760348 |
title | Data Analytics in Produktion und Logistik |
title_auth | Data Analytics in Produktion und Logistik |
title_exact_search | Data Analytics in Produktion und Logistik |
title_full | Data Analytics in Produktion und Logistik Dr. Johannes Kröckel |
title_fullStr | Data Analytics in Produktion und Logistik Dr. Johannes Kröckel |
title_full_unstemmed | Data Analytics in Produktion und Logistik Dr. Johannes Kröckel |
title_short | Data Analytics in Produktion und Logistik |
title_sort | data analytics in produktion und logistik |
topic | Informationsmanagement (DE-588)4114012-6 gnd Logistik (DE-588)4036210-3 gnd Data Mining (DE-588)4428654-5 gnd Datenanalyse (DE-588)4123037-1 gnd Produktion (DE-588)4047347-8 gnd Wirtschaftsinformatik (DE-588)4112736-5 gnd Data Scientist (DE-588)1168760348 gnd |
topic_facet | Informationsmanagement Logistik Data Mining Datenanalyse Produktion Wirtschaftsinformatik Data Scientist |
url | http://d-nb.info/1174009888/04 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030935492&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT krockeljohannes dataanalyticsinproduktionundlogistik AT vogelbusinessmedia dataanalyticsinproduktionundlogistik |
Inhaltsverzeichnis
Inhaltsverzeichnis
Inhaltsverzeichnis
THWS Schweinfurt Zentralbibliothek Lesesaal
Signatur: |
2000 ST 530 K93 |
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Exemplar 1 | ausleihbar Verfügbar Bestellen |