Knowledge transfer-based recommendations to enable self-service business intelligence:
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| 1. Verfasser: | |
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| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Düren
Shaker Verlag
2019
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| Schriftenreihe: | Oldenburger Schriften zur Wirtschaftsinformatik
Band 27 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Inhaltsverzeichnis |
| Beschreibung: | XII, 187 Seiten Illustrationen 21 cm, 269 g |
| ISBN: | 9783844069563 |
Internformat
MARC
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| 003 | DE-604 | ||
| 005 | 20200525 | ||
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| 084 | |a 004 |2 sdnb | ||
| 100 | 1 | |a Sulaiman, Safwan |e Verfasser |0 (DE-588)1197814159 |4 aut | |
| 245 | 1 | 0 | |a Knowledge transfer-based recommendations to enable self-service business intelligence |c Safwan Sulaiman |
| 264 | 1 | |a Düren |b Shaker Verlag |c 2019 | |
| 300 | |a XII, 187 Seiten |b Illustrationen |c 21 cm, 269 g | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Oldenburger Schriften zur Wirtschaftsinformatik |v Band 27 | |
| 502 | |b Dissertation |c Carl-von-Ossietzky-Universität Oldenburg |d 2019 | ||
| 650 | 0 | 7 | |a Business Intelligence |0 (DE-588)4588307-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Wissensmanagement |0 (DE-588)4561842-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Betriebliches Informationssystem |0 (DE-588)4069386-7 |2 gnd |9 rswk-swf |
| 653 | |a Business Intelligence | ||
| 653 | |a Knowledge Transfer Model | ||
| 653 | |a Recommender Systems | ||
| 653 | |a Self-Service BI | ||
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 689 | 0 | 0 | |a Betriebliches Informationssystem |0 (DE-588)4069386-7 |D s |
| 689 | 0 | 1 | |a Wissensmanagement |0 (DE-588)4561842-2 |D s |
| 689 | 0 | 2 | |a Business Intelligence |0 (DE-588)4588307-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 710 | 2 | |a Shaker Verlag |0 (DE-588)1064118135 |4 pbl | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |a Sulaiman, Safwan |t Knowledge Transfer-based Recommendations to Enable Self-Service Business Intelligence |b 1. Auflage |d Düren : Shaker, 2019 |h Online-Ressource, 203 Seiten, 14 Illustrationen |
| 856 | 4 | 2 | |m B:DE-101 |q application/pdf |u https://d-nb.info/1194486002/04 |3 Inhaltsverzeichnis |
| 856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032121447&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032121447 | ||
Datensatz im Suchindex
| _version_ | 1804181444434591744 |
|---|---|
| adam_text | TABLE
OF
CONTENTS
ABSTRACT
....................................................................................................................................
I
ZUSAMMENFASSUNG
.................................................................................................................
II
TABLE
OF
CONTENTS
................................................................................................................
IV
LIST
OF
ABBREVIATIONS
AND
ACRONYMS
..............................................................................
VIII
LIST
OF
FIGURES
........................................................................................................................
X
LIST
OF
TABLES
......................................................................................................................
XII
1
INTRODUCTION
........................................................................................................................
1
1.1
MOTIVATION
...................................................................................................................
4
1.2
PROBLEM
DEFINITION
....................................................................................................
6
1.3
MAIN
RESEARCH
GOAL
AND
OBJECTIVES
.........................................................................
8
1.4
THESIS
STRUCTURE
........................................................................................................
10
2
THEORETICAL
FOUNDATION
AND
RELATED
WORK
....................................................................
12
2.1
MAIN
APPROACHES
OF
BUSINESS
INTELLIGENCE
............................................................
12
2.1.1
BUSINESS
INTELLIGENCE
DEFINITIONS
..................................................................
12
2.1.2
ARCHITECTURE
OF
BUSINESS
INTELLIGENCE
SYSTEM
..............................................
15
2.1.3
BUSINESS
INTELLIGENCE
TOOLS
...........................................................................
17
2.1.4
DIMENSIONAL
MODEL
........................................................................................
19
2.1.5
TYPICAL
OLAP
OPERATIONS
.............................................................................
22
2.1.6
SELF
SERVICE
BUSINESS
INTELLIGENCE
...............................................................
24
2.1.7
USERS
OF
BUSINESS
INTELLIGENCE
SYSTEMS
.......................................................
26
2.2
DATA
MINING
.............................................................................................................
27
2.2.1
DATA
MINING
TECHNIQUES
...............................................................................
27
2.2.2
DATA
MINING
PROCESS
.....................................................................................
29
2.2.2.1
DATA
COLLECTION
..................................................................................
29
2.2.2.2
FEATURE
EXTRACTION
AND
DATA
CLEANING
.............................................
30
2.2.2.3
ANALYTICAL
PROCESSING
AND
ALGORITHMS
.............................................
30
2.2.3
FREQUENT
PATTERN
MINING
................................................................................
30
2.2.3.1
SEQUENTIAL
PATTERN
MINING
................................................................
32
2.3
KNOWLEDGE
MANAGEMENT
.........................................................................................
34
2.3.1
TACIT
KNOWLEDGE
VS
EXPLICIT
KNOWLEDGE
.....................................................
34
2.3.2
THE
MODES
OF
KNOWLEDGE
CONVERSION
.........................................................
35
2.3.3
KNOWLEDGE
TRANSFER
MODEL
..........................................................................
36
2.4
RECOMMENDER
SYSTEMS
............................................................................................
37
2.4.1
GOALS
OF
RECOMMENDER
SYSTEMS
...................................................................
37
2.4.2
TYPES
OF
RECOMMENDER
SYSTEMS
..................................................................
38
2.5
RELATED
WORK
...........................................................................................................
40
2.5.1
KNOWLEDGE-BASED
BUSINESS
INTELLIGENCE
FOR
BUSINESS
USER
INFORMATION
SELF
SERVICE
............................................................................................................
40
IV
TABLE
OF
CONTENTS
2.5.2
DISTRIBUTION
OF
BUSINESS
INTELLIGENCE
KNOWLEDGE
........................................40
2.5.3
RECOMMENDER
SYSTEM
*
S
AND
TEL
*
S
RELATED
WORK
......................................
41
2.6
SUMMARY
..................................................................................................................
43
3
RESEARCH
METHODOLOGY
..................................................................................................
44
3.1
INTRODUCTION
.............................................................................................................
44
3.2
DESIGN
SCIENCE
RESEARCH
IN
INFORMATION
SYSTEMS
...............................................
45
3.3
GUIDELINES
FOR
DESIGN
SCIENCE
IN
INFORMATION
SYSTEMS
RESEARCH
......................
48
3.4
MEMORANDUM
ON
DESIGN-ORIENTED
INFORMATION
SYSTEMS
RESEARCH
....................
50
3.5
SUMMARY
..................................................................................................................
52
4
SYSTEM
REQUIREMENTS
AND
CONCEPTION
OF
THE
NEW
SSBI
ARCHITECTURE
......................
53
4.1
BASIC
IDEA
AND
KNOWLEDGE
FLOW
...........................................................................
53
4.2
SYSTEM
REQUIREMENTS
.............................................................................................
55
4.2.1
GENERAL
REQUIREMENTS
OF
THE
MAIN
CONCEPT
...............................................
55
4.2.2
REQUIREMENTS
OF
THE
EXTRACTION
OF
PUS
*
KNOWLEDGE
..................................
55
4.2.3
REQUIREMENTS
FOR
APPLYING
OR
TRANSFERRING
OF
KNOWLEDGE
TO
BUS
..........
56
4.3
ANALYSIS
OF
AVAILABLE
BI
SYSTEMS
AND
THE
SYSTEM
CHOICE
FOR
THIS
RESEARCH
....
56
4.3.1
SELECTION
MODEL
OF
BI
SYSTEMS
....................................................................
57
4.3.2
EVALUATION
OF
BI
SYSTEMS
.............................................................................
59
4.4
CONCEPTION
OF
THE
NEW
SSBI
ARCHITECTURE
............................................................
62
4.4.1
TRACING
MODULE
.............................................................................................
64
4.4.2
ANALYSIS
MODULE
...........................................................................................
65
4.4.3
KNOWLEDGE
REPOSITORY
DATABASE
.................................................................
66
4.4.4
RECOMMENDER
SYSTEM
..................................................................................
66
4.5
KNOWLEDGE
TRANSFER
MODEL
WORKFLOWS
................................................................
67
4.5.1
POWER
USER
KNOWLEDGE
EXTRACTION
..............................................................
67
4.5.2
ANALYSIS
PATH
RECOMMENDATION
FOR BUSINESS
USERS
...................................
68
4.6
SUMMARY
..................................................................................................................
69
5
KNOWLEDGE
TRANSFER
BASED
SELF-SERVICE
BUSINESS
INTELLIGENCE
..................................
70
5.1
TRACING
MODULE
......................................................................................................
70
5.1.1
TYPES
OF
USER
INTERACTION
DATA
....................................................................
71
5.1.2
DATA
COLLECTION
IN
HUMAN-WEB
INTERACTIONS
DOMAIN
................................
71
5.1.2.1
SERVER-SIDE
DATA
COLLECTION
.............................................................
72
5.1.2.2
CLIENT-SIDE
DATA
COLLECTION
..............................................................
73
5.1.3
ANALYSIS
PHASE
...............................................................................................
73
5.1.3.1
ANALYSIS
OF
LOGGING
MECHANISMS
...................................................
74
5.1.3.2
ANALYSIS
OF
USER
INTERFACES
..............................................................
75
5.1.4
CONCEPTION
OF
THE
TRACING
MODULE
..............................................................
80
5.1.4.1
USER
INTERACTIONS
CATALOG
.................................................................
81
5.1.4.2
REQUIREMENT
DEFINITION
....................................................................
82
5.1.4.3
TRACING
MODULE
ARCHITECTURE
...........................................................
83
5.2
ANALYSIS
MODULE
AND
SEQUENTIAL
PATTERN
ALGORITHM
............................................
87
V
TABLE
OF
CONTENTS
5.2.1
PROBLEM
FORMULATION
OF
ANALYSIS
MODULE
...................................................
88
5.2.2
PHASES
OF
THE
ANALYSIS
MODULE
.....................................................................
91
5.2.3
FACTORS
CATALOG
OF
ANALYSIS
MODULE
............................................................
93
5.2.3.1
PREPARATION
OF
THE
INPUT
DATA
(PHASE
1)
..........................................
94
5.23.2
CONFIGURATION
OF
THE
ALGORITHM
(PHASE
2)
.......................................
95
5.2.3.3
ALGORITHM
EXECUTION
(PHASE
3)
.......................................................
97
5.2.3.4
POST-PREPARATION
OF
THE
RESULTING
PATTERNS
(PHASE
4)
.....................
98
5.23.5
STORAGE
OF
ANALYSIS
PATHS
(PHASE
5)
.................................................
99
5.2.4
REQUIREMENTS
OF
THE
ANALYSIS
MODULE
.......................................................
100
5.2.5
DESIGN
AND
CONCEPTION
OF
THE
ANALYSIS
MODULE
........................................
102
5.2.5.1
MODEL-VIEW-CONTROLLER
DESIGN
PATTERN
.........................................
102
5.2.5.2
ANALYSIS
MODULE
ARCHITECTURE
..........................................................
103
5.3
KNOWLEDGE
REPOSITORY
..........................................................................................
105
5.3.1
KNOWLEDGE
REPOSITORY
REPRESENTATION
SCHEMA
........................................
105
5.3.2
DOMAIN
KNOWLEDGE
......................................................................................
107
5.4
RECOMMENDER
SYSTEM
...........................................................................................
107
5.4.1
REQUIREMENT
DEFINITION
................................................................................
108
5.4.2
RECOMMENDER
SYSTEM
ARCHITECTURE
............................................................
109
5.4.2.1
PRESENTATION
LAYER
...........................................................................
110
5.4.2.2
APPLICATION
LAYER
............................................................................
ILL
5.4.23
DATA
LAYER
........................................................................................
115
5.5
SUMMARY
.................................................................................................................
116
6
PROTOTYPICAL
IMPLEMENTATION
AND
EVALUATION
.............................................................
117
6.1
IMPLEMENTATION
ASPECTS
OF
THE
PROTOTYPE
.............................................................
117
6.1.1
TRACING
MODULE
(BI-TRACER)
........................................................................
117
6.1.1.1
IMPLEMENTATION
AND
TECHNOLOGIES
.................................................
118
6.1.1.2
MAPPING
OF
INTERACTIONS
CATALOG
....................................................
119
6.1.13
PROTOTYPE
OF
BI
TRACER
.....................................................................
119
6.1.2
ANALYSIS
MODULE
..........................................................................................
120
6.1.2.1
COMPONENT
INTERACTIONS
OF
THE
ANALYSIS
MODULE
..........................
121
6.1.2.2
PARSING
THE
TRACE
FILES
...................................................................
122
6.1.2.3
PROCESS
FLOW
OF
THE
ANALYSIS
MODULE
PROTOTYPE
..........................
123
6.1.3
KNOWLEDGE
REPOSITORY
...............................................................................
124
6.1.3.1
STORING
THE
ANALYSIS
PATHS
WITH
THEIR
METADATA
IN
THE
KNOWLEDGE
REPOSITORY
.........................................................................................
124
6.1.4
RECOMMENDER
SYSTEM
..................................................................................
126
6.1.5
DATASETS
USED
FOR
BUILDING
BUSINESS
SCENARIOS
.........................................
128
6.2
EVALUATION
...............................................................................................................
130
6.2.1
FUNCTIONAL
EVALUATION
..................................................................................
131
6.2.2
USE
CASE
EVALUATION
.....................................................................................
135
6.2.2.1
INDUSTRY
PARTNERS
FOR
THE
EVALUATION
OF
THIS
RESEARCH
...................
136
6.2.2.2
FEEDBACK
AND
DISCUSSION
OF
THE
EXPERT
INTERVIEWS
.......................
140
6.2.23
IMPLICATIONS
FOR
THE
PARTNER
COMPANIES
.........................................
142
VI
TABLE
OF
CONTENTS
6.2.2.4
SSBI
APPLICATION
GUIDANCE
...........................................................
145
6.2.3
ARGUMENTATIVE
EVALUATION
...........................................................................
153
6.2.4
UTILIZATION
OF
KNOWLEDGE-BASED
RECOMMENDATIONS
IN
SMART
CITIES
APPLICATIONS
.................................................................................................
153
6.2.4.1
PROBLEM
DEFINITION
..........................................................................
154
6.2.4.2
SMART
CITIES
.....................................................................................
156
6.2.4.3
ARCHITECTURE
FOR
ENABLING
AND
ADOPTING
OF
SMART
CITY
APPLICATIONS
157
6.2.4.4
DISCUSSION
........................................................................................
160
6.3
SUMMARY
................................................................................................................
161
7
CONCLUSION
AND
OUTLOOK
.............................................................................................
162
7.1
SUMMARY
OF
THE
RESEARCH
.....................................................................................
162
7.2
OUTLOOK
..................................................................................................................
163
REFERENCES
..........................................................................................................................
165
PUBLICATIONS
........................................................................................................................
181
APPENDIX
............................................................................................................................
182
A.
EXCERPT
OF
USER
INTERACTIONS
CATALOG
.....................................................................
182
B.
QUESTIONNAIRE-BASED
EXPERT
INTERVIEW
...................................................................
184
VII
|
| adam_txt |
TABLE
OF
CONTENTS
ABSTRACT
.
I
ZUSAMMENFASSUNG
.
II
TABLE
OF
CONTENTS
.
IV
LIST
OF
ABBREVIATIONS
AND
ACRONYMS
.
VIII
LIST
OF
FIGURES
.
X
LIST
OF
TABLES
.
XII
1
INTRODUCTION
.
1
1.1
MOTIVATION
.
4
1.2
PROBLEM
DEFINITION
.
6
1.3
MAIN
RESEARCH
GOAL
AND
OBJECTIVES
.
8
1.4
THESIS
STRUCTURE
.
10
2
THEORETICAL
FOUNDATION
AND
RELATED
WORK
.
12
2.1
MAIN
APPROACHES
OF
BUSINESS
INTELLIGENCE
.
12
2.1.1
BUSINESS
INTELLIGENCE
DEFINITIONS
.
12
2.1.2
ARCHITECTURE
OF
BUSINESS
INTELLIGENCE
SYSTEM
.
15
2.1.3
BUSINESS
INTELLIGENCE
TOOLS
.
17
2.1.4
DIMENSIONAL
MODEL
.
19
2.1.5
TYPICAL
OLAP
OPERATIONS
.
22
2.1.6
SELF
SERVICE
BUSINESS
INTELLIGENCE
.
24
2.1.7
USERS
OF
BUSINESS
INTELLIGENCE
SYSTEMS
.
26
2.2
DATA
MINING
.
27
2.2.1
DATA
MINING
TECHNIQUES
.
27
2.2.2
DATA
MINING
PROCESS
.
29
2.2.2.1
DATA
COLLECTION
.
29
2.2.2.2
FEATURE
EXTRACTION
AND
DATA
CLEANING
.
30
2.2.2.3
ANALYTICAL
PROCESSING
AND
ALGORITHMS
.
30
2.2.3
FREQUENT
PATTERN
MINING
.
30
2.2.3.1
SEQUENTIAL
PATTERN
MINING
.
32
2.3
KNOWLEDGE
MANAGEMENT
.
34
2.3.1
TACIT
KNOWLEDGE
VS
EXPLICIT
KNOWLEDGE
.
34
2.3.2
THE
MODES
OF
KNOWLEDGE
CONVERSION
.
35
2.3.3
KNOWLEDGE
TRANSFER
MODEL
.
36
2.4
RECOMMENDER
SYSTEMS
.
37
2.4.1
GOALS
OF
RECOMMENDER
SYSTEMS
.
37
2.4.2
TYPES
OF
RECOMMENDER
SYSTEMS
.
38
2.5
RELATED
WORK
.
40
2.5.1
KNOWLEDGE-BASED
BUSINESS
INTELLIGENCE
FOR
BUSINESS
USER
INFORMATION
SELF
SERVICE
.
40
IV
TABLE
OF
CONTENTS
2.5.2
DISTRIBUTION
OF
BUSINESS
INTELLIGENCE
KNOWLEDGE
.40
2.5.3
RECOMMENDER
SYSTEM
*
S
AND
TEL
*
S
RELATED
WORK
.
41
2.6
SUMMARY
.
43
3
RESEARCH
METHODOLOGY
.
44
3.1
INTRODUCTION
.
44
3.2
DESIGN
SCIENCE
RESEARCH
IN
INFORMATION
SYSTEMS
.
45
3.3
GUIDELINES
FOR
DESIGN
SCIENCE
IN
INFORMATION
SYSTEMS
RESEARCH
.
48
3.4
MEMORANDUM
ON
DESIGN-ORIENTED
INFORMATION
SYSTEMS
RESEARCH
.
50
3.5
SUMMARY
.
52
4
SYSTEM
REQUIREMENTS
AND
CONCEPTION
OF
THE
NEW
SSBI
ARCHITECTURE
.
53
4.1
BASIC
IDEA
AND
KNOWLEDGE
FLOW
.
53
4.2
SYSTEM
REQUIREMENTS
.
55
4.2.1
GENERAL
REQUIREMENTS
OF
THE
MAIN
CONCEPT
.
55
4.2.2
REQUIREMENTS
OF
THE
EXTRACTION
OF
PUS
*
KNOWLEDGE
.
55
4.2.3
REQUIREMENTS
FOR
APPLYING
OR
TRANSFERRING
OF
KNOWLEDGE
TO
BUS
.
56
4.3
ANALYSIS
OF
AVAILABLE
BI
SYSTEMS
AND
THE
SYSTEM
CHOICE
FOR
THIS
RESEARCH
.
56
4.3.1
SELECTION
MODEL
OF
BI
SYSTEMS
.
57
4.3.2
EVALUATION
OF
BI
SYSTEMS
.
59
4.4
CONCEPTION
OF
THE
NEW
SSBI
ARCHITECTURE
.
62
4.4.1
TRACING
MODULE
.
64
4.4.2
ANALYSIS
MODULE
.
65
4.4.3
KNOWLEDGE
REPOSITORY
DATABASE
.
66
4.4.4
RECOMMENDER
SYSTEM
.
66
4.5
KNOWLEDGE
TRANSFER
MODEL
WORKFLOWS
.
67
4.5.1
POWER
USER
KNOWLEDGE
EXTRACTION
.
67
4.5.2
ANALYSIS
PATH
RECOMMENDATION
FOR BUSINESS
USERS
.
68
4.6
SUMMARY
.
69
5
KNOWLEDGE
TRANSFER
BASED
SELF-SERVICE
BUSINESS
INTELLIGENCE
.
70
5.1
TRACING
MODULE
.
70
5.1.1
TYPES
OF
USER
INTERACTION
DATA
.
71
5.1.2
DATA
COLLECTION
IN
HUMAN-WEB
INTERACTIONS
DOMAIN
.
71
5.1.2.1
SERVER-SIDE
DATA
COLLECTION
.
72
5.1.2.2
CLIENT-SIDE
DATA
COLLECTION
.
73
5.1.3
ANALYSIS
PHASE
.
73
5.1.3.1
ANALYSIS
OF
LOGGING
MECHANISMS
.
74
5.1.3.2
ANALYSIS
OF
USER
INTERFACES
.
75
5.1.4
CONCEPTION
OF
THE
TRACING
MODULE
.
80
5.1.4.1
USER
INTERACTIONS
CATALOG
.
81
5.1.4.2
REQUIREMENT
DEFINITION
.
82
5.1.4.3
TRACING
MODULE
ARCHITECTURE
.
83
5.2
ANALYSIS
MODULE
AND
SEQUENTIAL
PATTERN
ALGORITHM
.
87
V
TABLE
OF
CONTENTS
5.2.1
PROBLEM
FORMULATION
OF
ANALYSIS
MODULE
.
88
5.2.2
PHASES
OF
THE
ANALYSIS
MODULE
.
91
5.2.3
FACTORS
CATALOG
OF
ANALYSIS
MODULE
.
93
5.2.3.1
PREPARATION
OF
THE
INPUT
DATA
(PHASE
1)
.
94
5.23.2
CONFIGURATION
OF
THE
ALGORITHM
(PHASE
2)
.
95
5.2.3.3
ALGORITHM
EXECUTION
(PHASE
3)
.
97
5.2.3.4
POST-PREPARATION
OF
THE
RESULTING
PATTERNS
(PHASE
4)
.
98
5.23.5
STORAGE
OF
ANALYSIS
PATHS
(PHASE
5)
.
99
5.2.4
REQUIREMENTS
OF
THE
ANALYSIS
MODULE
.
100
5.2.5
DESIGN
AND
CONCEPTION
OF
THE
ANALYSIS
MODULE
.
102
5.2.5.1
MODEL-VIEW-CONTROLLER
DESIGN
PATTERN
.
102
5.2.5.2
ANALYSIS
MODULE
ARCHITECTURE
.
103
5.3
KNOWLEDGE
REPOSITORY
.
105
5.3.1
KNOWLEDGE
REPOSITORY
REPRESENTATION
SCHEMA
.
105
5.3.2
DOMAIN
KNOWLEDGE
.
107
5.4
RECOMMENDER
SYSTEM
.
107
5.4.1
REQUIREMENT
DEFINITION
.
108
5.4.2
RECOMMENDER
SYSTEM
ARCHITECTURE
.
109
5.4.2.1
PRESENTATION
LAYER
.
110
5.4.2.2
APPLICATION
LAYER
.
ILL
5.4.23
DATA
LAYER
.
115
5.5
SUMMARY
.
116
6
PROTOTYPICAL
IMPLEMENTATION
AND
EVALUATION
.
117
6.1
IMPLEMENTATION
ASPECTS
OF
THE
PROTOTYPE
.
117
6.1.1
TRACING
MODULE
(BI-TRACER)
.
117
6.1.1.1
IMPLEMENTATION
AND
TECHNOLOGIES
.
118
6.1.1.2
MAPPING
OF
INTERACTIONS
CATALOG
.
119
6.1.13
PROTOTYPE
OF
BI
TRACER
.
119
6.1.2
ANALYSIS
MODULE
.
120
6.1.2.1
COMPONENT
INTERACTIONS
OF
THE
ANALYSIS
MODULE
.
121
6.1.2.2
PARSING
THE
TRACE
FILES
.
122
6.1.2.3
PROCESS
FLOW
OF
THE
ANALYSIS
MODULE
PROTOTYPE
.
123
6.1.3
KNOWLEDGE
REPOSITORY
.
124
6.1.3.1
STORING
THE
ANALYSIS
PATHS
WITH
THEIR
METADATA
IN
THE
KNOWLEDGE
REPOSITORY
.
124
6.1.4
RECOMMENDER
SYSTEM
.
126
6.1.5
DATASETS
USED
FOR
BUILDING
BUSINESS
SCENARIOS
.
128
6.2
EVALUATION
.
130
6.2.1
FUNCTIONAL
EVALUATION
.
131
6.2.2
USE
CASE
EVALUATION
.
135
6.2.2.1
INDUSTRY
PARTNERS
FOR
THE
EVALUATION
OF
THIS
RESEARCH
.
136
6.2.2.2
FEEDBACK
AND
DISCUSSION
OF
THE
EXPERT
INTERVIEWS
.
140
6.2.23
IMPLICATIONS
FOR
THE
PARTNER
COMPANIES
.
142
VI
TABLE
OF
CONTENTS
6.2.2.4
SSBI
APPLICATION
GUIDANCE
.
145
6.2.3
ARGUMENTATIVE
EVALUATION
.
153
6.2.4
UTILIZATION
OF
KNOWLEDGE-BASED
RECOMMENDATIONS
IN
SMART
CITIES
APPLICATIONS
.
153
6.2.4.1
PROBLEM
DEFINITION
.
154
6.2.4.2
SMART
CITIES
.
156
6.2.4.3
ARCHITECTURE
FOR
ENABLING
AND
ADOPTING
OF
SMART
CITY
APPLICATIONS
157
6.2.4.4
DISCUSSION
.
160
6.3
SUMMARY
.
161
7
CONCLUSION
AND
OUTLOOK
.
162
7.1
SUMMARY
OF
THE
RESEARCH
.
162
7.2
OUTLOOK
.
163
REFERENCES
.
165
PUBLICATIONS
.
181
APPENDIX
.
182
A.
EXCERPT
OF
USER
INTERACTIONS
CATALOG
.
182
B.
QUESTIONNAIRE-BASED
EXPERT
INTERVIEW
.
184
VII |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Sulaiman, Safwan |
| author_GND | (DE-588)1197814159 |
| author_facet | Sulaiman, Safwan |
| author_role | aut |
| author_sort | Sulaiman, Safwan |
| author_variant | s s ss |
| building | Verbundindex |
| bvnumber | BV046711042 |
| ctrlnum | (OCoLC)1164625144 (DE-599)DNB1194486002 |
| dewey-full | 658.4038011 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4038011 |
| dewey-search | 658.4038011 |
| dewey-sort | 3658.4038011 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Informatik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Wirtschaftswissenschaften |
| format | Thesis Book |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV046711042 |
| illustrated | Illustrated |
| index_date | 2024-07-03T14:30:50Z |
| indexdate | 2024-07-10T08:51:45Z |
| institution | BVB |
| institution_GND | (DE-588)1064118135 |
| isbn | 9783844069563 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032121447 |
| oclc_num | 1164625144 |
| open_access_boolean | |
| owner | DE-12 |
| owner_facet | DE-12 |
| physical | XII, 187 Seiten Illustrationen 21 cm, 269 g |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Shaker Verlag |
| record_format | marc |
| series2 | Oldenburger Schriften zur Wirtschaftsinformatik |
| spelling | Sulaiman, Safwan Verfasser (DE-588)1197814159 aut Knowledge transfer-based recommendations to enable self-service business intelligence Safwan Sulaiman Düren Shaker Verlag 2019 XII, 187 Seiten Illustrationen 21 cm, 269 g txt rdacontent n rdamedia nc rdacarrier Oldenburger Schriften zur Wirtschaftsinformatik Band 27 Dissertation Carl-von-Ossietzky-Universität Oldenburg 2019 Business Intelligence (DE-588)4588307-5 gnd rswk-swf Wissensmanagement (DE-588)4561842-2 gnd rswk-swf Betriebliches Informationssystem (DE-588)4069386-7 gnd rswk-swf Business Intelligence Knowledge Transfer Model Recommender Systems Self-Service BI (DE-588)4113937-9 Hochschulschrift gnd-content Betriebliches Informationssystem (DE-588)4069386-7 s Wissensmanagement (DE-588)4561842-2 s Business Intelligence (DE-588)4588307-5 s DE-604 Shaker Verlag (DE-588)1064118135 pbl Erscheint auch als Online-Ausgabe Sulaiman, Safwan Knowledge Transfer-based Recommendations to Enable Self-Service Business Intelligence 1. Auflage Düren : Shaker, 2019 Online-Ressource, 203 Seiten, 14 Illustrationen B:DE-101 application/pdf https://d-nb.info/1194486002/04 Inhaltsverzeichnis DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032121447&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Sulaiman, Safwan Knowledge transfer-based recommendations to enable self-service business intelligence Business Intelligence (DE-588)4588307-5 gnd Wissensmanagement (DE-588)4561842-2 gnd Betriebliches Informationssystem (DE-588)4069386-7 gnd |
| subject_GND | (DE-588)4588307-5 (DE-588)4561842-2 (DE-588)4069386-7 (DE-588)4113937-9 |
| title | Knowledge transfer-based recommendations to enable self-service business intelligence |
| title_auth | Knowledge transfer-based recommendations to enable self-service business intelligence |
| title_exact_search | Knowledge transfer-based recommendations to enable self-service business intelligence |
| title_exact_search_txtP | Knowledge transfer-based recommendations to enable self-service business intelligence |
| title_full | Knowledge transfer-based recommendations to enable self-service business intelligence Safwan Sulaiman |
| title_fullStr | Knowledge transfer-based recommendations to enable self-service business intelligence Safwan Sulaiman |
| title_full_unstemmed | Knowledge transfer-based recommendations to enable self-service business intelligence Safwan Sulaiman |
| title_short | Knowledge transfer-based recommendations to enable self-service business intelligence |
| title_sort | knowledge transfer based recommendations to enable self service business intelligence |
| topic | Business Intelligence (DE-588)4588307-5 gnd Wissensmanagement (DE-588)4561842-2 gnd Betriebliches Informationssystem (DE-588)4069386-7 gnd |
| topic_facet | Business Intelligence Wissensmanagement Betriebliches Informationssystem Hochschulschrift |
| url | https://d-nb.info/1194486002/04 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032121447&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT sulaimansafwan knowledgetransferbasedrecommendationstoenableselfservicebusinessintelligence AT shakerverlag knowledgetransferbasedrecommendationstoenableselfservicebusinessintelligence |
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