Fundamentals of business intelligence:
Gespeichert in:
Hauptverfasser: | , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Berlin [u.a.]
Springer
2015
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Schriftenreihe: | Data-centric systems and applications
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Schlagworte: | |
Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
Beschreibung: | XVIII, 348 S. graph. Darst. |
ISBN: | 9783662465301 9783662509401 3662465302 |
Internformat
MARC
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Datensatz im Suchindex
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adam_text |
CONTENTS
1 INTRODUCTION 1
1.1 DEFINITION OF BUSINESS INTELLIGENCE 1
1.2 PUTTING BUSINESS INTELLIGENCE INTO CONTEXT 4
1.2.1 BUSINESS INTELLIGENCE SCENARIOS 4
1.2.2 PERSPECTIVES IN BUSINESS INTELLIGENCE 6
1.2.3 BUSINESS INTELLIGENCE VIEWS ON BUSINESS PROCESSES 8
1.2.4 GOALS OF BUSINESS INTELLIGENCE 11
1.2.5 SUMMARY: PUTTING BUSINESS INTELLIGENCE IN CONTEXT 13
1.3 BUSINESS INTELLIGENCE: TASKS AND ANALYSIS FORMATS 14
1.3.1 DATA TASK 14
1.3.2 BUSINESS AND DATA UNDERSTANDING TASK 15
1.3.3 MODELING TASK 17
1.3.4 ANALYSIS TASK 19
1.3.5 EVALUATION AND REPORTING TASK 20
1.3.6 ANALYSIS FORMATS 20
1.3.7 SUMMARY: TASKS AND ANALYSIS FORMATS 24
1.4 USE CASES 24
1.4.1 APPLICATION IN PATIENT TREATMENT 25
1.4.2 APPLICATION IN HIGHER EDUCATION 28
1.4.3 APPLICATION IN LOGISTICS 29
1.4.4 APPLICATION IN CUSTOMER RELATIONSHIP MANAGEMENT 30
1.5 STRUCTURE AND OUTLINE OF THE BOOK 31
1.6 RECOMMENDED READING (SELECTION) 32
REFERENCES 32
2 MODELING IN BUSINESS INTELLIGENCE 35
2.1 MODELS AND MODELING IN BUSINESS INTELLIGENCE 35
2.1.1 THE REPRESENTATION FUNCTION OF MODELS 36
2.1.2 MODEL PRESENTATION 39
2.1.3 MODEL BUILDING 41
XIII
HTTP://D-NB.INFO/106647317X
XIV CONTENTS
2.1.4 MODEL ASSESSMENT AND QUALITY OF MODELS 44
2.1.5 MODELS AND PATTERNS 45
2.1.6 SUMMARY: MODELS AND MODELING IN BUSINESS
INTELLIGENCE 46
2.2 LOGICAL AND ALGEBRAIC STRUCTURES 46
2.2.1 LOGICAL STRUCTURES 46
2.2.2 MODELING USING LOGICAL STRUCTURES 48
2.2.3 SUMMARY: LOGICAL STRUCTURES 51
2.3 GRAPH STRUCTURES 51
2.3.1 MODEL STRUCTURE 51
2.3.2 MODELING WITH GRAPH STRUCTURES 54
2.3.3 SUMMARY: GRAPH STRUCTURES 57
2.4 ANALYTICAL STRUCTURES 58
2.4.1 CALCULUS 58
2.4.2 PROBABILISTIC STRUCTURES 61
2.4.3 STATISTICAL STRUCTURES 67
2.4.4 MODELING METHODS USING ANALYTICAL STRUCTURES 70
2.4.5 SUMMARY: ANALYTICAL STRUCTURES 73
2.5 MODELS AND DATA 74
2.5.1 DATA GENERATION 74
2.5.2 THE ROLE OF TIME 76
2.5.3 DATA QUALITY 78
2.5.4 SUMMARY: MODELS AND DATA 82
2.6 CONCLUSION AND LESSONS LEARNED 82
2.7 RECOMMENDED READING (SELECTION) 83
REFERENCES 83
3 DATA PROVISIONING 87
3.1 INTRODUCTION AND GOALS 87
3.2 DATA COLLECTION AND DESCRIPTION 88
3.3 DATA EXTRACTION 90
3.3.1 EXTRACTION-TRANSFORMATION-LOAD (ETL) PROCESS 90
3.3.2 BIG DATA 93
3.3.3 SUMMARY ON DATA EXTRACTION 98
3.4 FROM TRANSACTIONAL DATA TOWARDS ANALYTICAL DATA 98
3.4.1 TABLE FORMATS AND ONLINE ANALYTICAL PROCESSING (OLAP). 100
3.4.2 LOG FORMATS 104
3.4.3 SUMMARY: FROM TRANSACTIONAL TOWARDS
ANALYTICAL DATA 108
3.5 SCHEMA AND DATA INTEGRATION 108
3.5.1 SCHEMA INTEGRATION 108
3.5.2 DATA INTEGRATION AND DATA QUALITY 112
3.5.3 LINKED DATA AND DATA MASHUPS 113
3.5.4 SUMMARY: SCHEMA AND DATA INTEGRATION 114
3.6 CONCLUSION AND LESSONS LEARNED 115
CONTENTS XV
3.7 RECOMMENDED READING 115
REFERENCES 115
4 DATA DESCRIPTION AND VISUALIZATION 119
4.1 INTRODUCTION 119
4.2 DESCRIPTION AND VISUALIZATION OF BUSINESS PROCESSES 120
4.2.1 PROCESS MODELING AND LAYOUT 121
4.2.2 THE BPM TOOLS'PERSPECTIVE 122
4.2.3 PROCESS RUNTIME VISUALIZATION 123
4.2.4 VISUALIZATION OF FURTHER ASPECTS 123
4.2.5 CHALLENGES IN VISUALIZING PROCESS-RELATED INFORMATION 126
4.2.6 SUMMARY: DESCRIPTION AND VISUALIZATION
OF BUSINESS PROCESSES 127
4.3 DESCRIPTION AND VISUALIZATION OF DATA IN THE CUSTOMER
PERSPECTIVE 127
4.3.1 PRINCIPLES FOR DESCRIPTION AND VISUALIZATION
OF COLLECTIONS OF PROCESS INSTANCES 127
4.3.2 INTERACTIVE AND DYNAMIC VISUALIZATION 131
4.3.3 SUMMARY: VISUALIZATION OF PROCESS INSTANCES 133
4.4 BASIC VISUALIZATION TECHNIQUES 133
4.4.1 DESCRIPTION AND VISUALIZATION OF QUALITATIVE
INFORMATION 134
4.4.2 DESCRIPTION AND VISUALIZATION OF QUANTITATIVE VARIABLES 137
4.4.3 DESCRIPTION AND VISUALIZATION OF RELATIONSHIPS 140
4.4.4 DESCRIPTION AND VISUALIZATION OF TEMPORAL DATA 143
4.4.5 INTERACTIVE AND DYNAMIC VISUALIZATION 145
4.4.6 SUMMARY: BASIC VISUALIZATION TECHNIQUES 146
4.5 REPORTING 147
4.5.1 DESCRIPTION AND VISUALIZATION OF METADATA 147
4.5.2 HIGH-LEVEL REPORTING 149
4.5.3 INFOGRAPHICS 151
4.5.4 SUMMARY: REPORTING 152
4.6 RECOMMENDED READING 153
REFERENCES 153
5 DATA MINING FOR CROSS-SECTIONAL DATA 155
5.1 INTRODUCTION TO SUPERVISED LEARNING 155
5.2 REGRESSION MODELS 159
5.2.1 MODEL FORMULATION AND TERMINOLOGY 159
5.2.2 LINEAR REGRESSION 161
5.2.3 NEURAL NETWORKS 166
5.2.4 KERNEL ESTIMATES 169
5.2.5 SMOOTHING SPLINES 171
5.2.6 SUMMARY: REGRESSION MODELS 172
XVI CONTENTS
5.3 CLASSIFICATION MODELS 173
5.3.1 MODEL FORMULATION AND TERMINOLOGY 173
5.3.2 CLASSIFICATION BASED ON PROBABILISTIC STRUCTURES 177
5.3.3 METHODS USING TREES 182
5.3.4 K-NEAREST-NEIGHBOR CLASSIFICATION 185
5.3.5 SUPPORT VECTOR MACHINES 186
5.3.6 COMBINATION METHODS 190
5.3.7 APPLICATION OF CLASSIFICATION METHODS 191
5.3.8 SUMMARY: CLASSIFICATION MODELS 192
5.4 UNSUPERVISED LEARNING 193
5.4.1 INTRODUCTION AND TERMINOLOGY 193
5.4.2 HIERARCHICAL CLUSTERING 195
5.4.3 PARTITIONING METHODS 199
5.4.4 MODEL-BASED CLUSTERING 201
5.4.5 SUMMARY: UNSUPERVISED LEARNING 203
5.5 CONCLUSION AND LESSONS LEARNED 204
5.6 RECOMMENDED READING 204
REFERENCES 205
6 DATA MINING FOR TEMPORAL DATA 207
6.1 TERMINOLOGY AND APPROACHES TOWARDS TEMPORAL DATA MINING 207
6.2 CLASSIFICATION AND CLUSTERING OF TIME SEQUENCES 212
6.2.1 SEGMENTATION AND CLASSIFICATION USING TIME
WARPING 214
6.2.2 SEGMENTATION AND CLASSIFICATION USING RESPONSE
FEATURES 217
6.2.3 SUMMARY: CLASSIFICATION AND CLUSTERING OF TIME
SEQUENCES 220
6.3 TIME-TO-EVENT ANALYSIS 220
6.4 ANALYSIS OF MARKOV CHAINS 224
6.4.1 STRUCTURAL ANALYSIS OF MARKOV CHAINS 226
6.4.2 CLUSTER ANALYSIS FOR MARKOV CHAINS 230
6.4.3 GENERALIZATION OF THE BASIC MODEL 231
6.4.4 SUMMARY: ANALYSIS OF MARKOV CHAINS 233
6.5 ASSOCIATION ANALYSIS 233
6.6 SEQUENCE MINING 237
6.7 EPISODE MINING 240
6.8 CONCLUSION AND LESSONS LEARNED 242
6.9 RECOMMENDED READING 243
REFERENCES 244
7 PROCESS ANALYSIS 245
7.1 INTRODUCTION AND TERMINOLOGY 245
7.2 BUSINESS PROCESS ANALYSIS AND SIMULATION 247
7.2.1 STATIC ANALYSIS 248
7.2.2 DYNAMIC ANALYSIS AND SIMULATION 248
CONTENTS XVII
7.2.3 OPTIMIZATION 251
7.2.4 SUMMARY: PROCESS ANALYSIS AND SIMULATION 252
7.3 PROCESS PERFORMANCE MANAGEMENT AND WAREHOUSING 252
7.3.1 PERFORMANCE MANAGEMENT 252
7.3.2 PROCESS WAREHOUSING 253
7.3.3 SUMMARY: PROCESS PERFORMANCE MANAGEMENT
AND WAREHOUSING 255
7.4 PROCESS MINING 255
7.4.1 PROCESS DISCOVERY 256
7.4.2 CHANGE MINING 263
7.4.3 CONFORMANCE CHECKING 266
7.4.4 SUMMAIY: PROCESS MINING 267
7.5 BUSINESS PROCESS COMPLIANCE 268
7.5.1 COMPLIANCE ALONG THE PROCESS LIFE CYCLE 268
7.5.2 SUMMARY: COMPLIANCE CHECKING 270
7.6 EVALUATION AND ASSESSMENT 270
7.6.1 PROCESS MINING 270
7.6.2 COMPLIANCE CHECKING 271
7.7 CONCLUSION AND LESSONS LEARNED 271
7.8 RECOMMENDED READING 272
REFERENCES 272
8 ANALYSIS OF MULTIPLE BUSINESS PERSPECTIVES 275
8.1 INTRODUCTION AND TERMINOLOGY 275
8.2 SOCIAL NETWORK ANALYSIS AND ORGANIZATIONAL MINING 277
8.2.1 SOCIAL NETWORK ANALYSIS 277
8.2.2 ORGANIZATIONAL ASPECT IN BUSINESS PROCESSES 282
8.2.3 ORGANIZATIONAL MINING TECHNIQUES FOR BUSINESS
PROCESSES 284
8.2.4 SUMMARY: SOCIAL NETWORK ANALYSIS
AND ORGANIZATIONAL MINING 290
8.3 DECISION POINT ANALYSIS 290
8.4 TEXT MINING 294
8.4.1 INTRODUCTION AND TERMINOLOGY 294
8.4.2 DATA PREPARATION AND MODELING 296
8.4.3 DESCRIPTIVE ANALYSIS FOR THE DOCUMENT TERM MATRIX 301
8.4.4 ANALYSIS TECHNIQUES FOR A CORPUS 303
8.4.5 FURTHER ASPECTS OF TEXT MINING 307
8.4.6 SUMMARY: TEXT MINING 313
8.5 CONCLUSION AND LESSONS LEARNED 313
8.6 RECOMMENDED READING 315
REFERENCES 315
9 SUMMARY 319
XVIII CONTENTS
A SURVEY ON BUSINESS INTELLIGENCE TOOLS 329
A. 1 DATA MODELING AND ETL SUPPORT 329
A.2 BIG DATA 330
A.3 VISUALIZATION, VISUAL MINING, AND REPORTING 334
A.4 DATA MINING 337
A.5 PROCESS MINING 338
A.6 TEXT MINING 339
REFERENCES 340
INDEX 343 |
any_adam_object | 1 |
author | Grossmann, Wilfried Rinderle-Ma, Stefanie 1976- |
author_GND | (DE-588)170283852 (DE-588)1029079021 |
author_facet | Grossmann, Wilfried Rinderle-Ma, Stefanie 1976- |
author_role | aut aut |
author_sort | Grossmann, Wilfried |
author_variant | w g wg s r m srm |
building | Verbundindex |
bvnumber | BV042382035 |
classification_rvk | QH 500 ST 530 |
classification_tum | WIR 570f |
ctrlnum | (OCoLC)903394772 (DE-599)DNB106647317X |
dewey-full | 658.4720285 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
dewey-raw | 658.4720285 |
dewey-search | 658.4720285 |
dewey-sort | 3658.4720285 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Informatik Wirtschaftswissenschaften |
format | Book |
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id | DE-604.BV042382035 |
illustrated | Illustrated |
indexdate | 2024-08-03T02:11:52Z |
institution | BVB |
isbn | 9783662465301 9783662509401 3662465302 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027818096 |
oclc_num | 903394772 |
open_access_boolean | |
owner | DE-945 DE-1050 DE-355 DE-BY-UBR DE-91 DE-BY-TUM DE-706 DE-91G DE-BY-TUM |
owner_facet | DE-945 DE-1050 DE-355 DE-BY-UBR DE-91 DE-BY-TUM DE-706 DE-91G DE-BY-TUM |
physical | XVIII, 348 S. graph. Darst. |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | Springer |
record_format | marc |
series2 | Data-centric systems and applications |
spelling | Grossmann, Wilfried Verfasser (DE-588)170283852 aut Fundamentals of business intelligence Wilfried Grossmann ; Stefanie Rinderle-Ma Berlin [u.a.] Springer 2015 XVIII, 348 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Data-centric systems and applications Business Intelligence (DE-588)4588307-5 gnd rswk-swf Wissensmanagement (DE-588)4561842-2 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Managementinformationssystem (DE-588)4074518-1 gnd rswk-swf Informatik (DE-588)4026894-9 gnd rswk-swf Informationssystem (DE-588)4072806-7 gnd rswk-swf Prozessmanagement (DE-588)4353072-2 gnd rswk-swf Entscheidungsunterstützungssystem (DE-588)4191815-0 gnd rswk-swf Business Intelligence (DE-588)4588307-5 s Wissensmanagement (DE-588)4561842-2 s Prozessmanagement (DE-588)4353072-2 s Data Mining (DE-588)4428654-5 s Entscheidungsunterstützungssystem (DE-588)4191815-0 s DE-604 Informatik (DE-588)4026894-9 s Informationssystem (DE-588)4072806-7 s Managementinformationssystem (DE-588)4074518-1 s 1\p DE-604 Rinderle-Ma, Stefanie 1976- Verfasser (DE-588)1029079021 aut X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=5147605&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027818096&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Grossmann, Wilfried Rinderle-Ma, Stefanie 1976- Fundamentals of business intelligence Business Intelligence (DE-588)4588307-5 gnd Wissensmanagement (DE-588)4561842-2 gnd Data Mining (DE-588)4428654-5 gnd Managementinformationssystem (DE-588)4074518-1 gnd Informatik (DE-588)4026894-9 gnd Informationssystem (DE-588)4072806-7 gnd Prozessmanagement (DE-588)4353072-2 gnd Entscheidungsunterstützungssystem (DE-588)4191815-0 gnd |
subject_GND | (DE-588)4588307-5 (DE-588)4561842-2 (DE-588)4428654-5 (DE-588)4074518-1 (DE-588)4026894-9 (DE-588)4072806-7 (DE-588)4353072-2 (DE-588)4191815-0 |
title | Fundamentals of business intelligence |
title_auth | Fundamentals of business intelligence |
title_exact_search | Fundamentals of business intelligence |
title_full | Fundamentals of business intelligence Wilfried Grossmann ; Stefanie Rinderle-Ma |
title_fullStr | Fundamentals of business intelligence Wilfried Grossmann ; Stefanie Rinderle-Ma |
title_full_unstemmed | Fundamentals of business intelligence Wilfried Grossmann ; Stefanie Rinderle-Ma |
title_short | Fundamentals of business intelligence |
title_sort | fundamentals of business intelligence |
topic | Business Intelligence (DE-588)4588307-5 gnd Wissensmanagement (DE-588)4561842-2 gnd Data Mining (DE-588)4428654-5 gnd Managementinformationssystem (DE-588)4074518-1 gnd Informatik (DE-588)4026894-9 gnd Informationssystem (DE-588)4072806-7 gnd Prozessmanagement (DE-588)4353072-2 gnd Entscheidungsunterstützungssystem (DE-588)4191815-0 gnd |
topic_facet | Business Intelligence Wissensmanagement Data Mining Managementinformationssystem Informatik Informationssystem Prozessmanagement Entscheidungsunterstützungssystem |
url | http://deposit.dnb.de/cgi-bin/dokserv?id=5147605&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027818096&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT grossmannwilfried fundamentalsofbusinessintelligence AT rinderlemastefanie fundamentalsofbusinessintelligence |