Mobility, data mining, and privacy: geographic knowledge discovery ; with 5 tables
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2008
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIV, 410 S. graph. Darst. 235 mm x 155 mm |
| ISBN: | 3540751769 9783540751762 |
Internformat
MARC
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| 020 | |a 3540751769 |c Gb. : ca. EUR 80.20 (freier Pr.), ca. sfr 130.50 (freier Pr.) |9 3-540-75176-9 | ||
| 020 | |a 9783540751762 |c Gb. : ca. EUR 80.20 (freier Pr.), ca. sfr 130.50 (freier Pr.) |9 978-3-540-75176-2 | ||
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| 245 | 1 | 0 | |a Mobility, data mining, and privacy |b geographic knowledge discovery ; with 5 tables |c Fosca Giannotti ; Dino Pedreschi, eds. |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2008 | |
| 300 | |a XIV, 410 S. |b graph. Darst. |c 235 mm x 155 mm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Mobile Computing - Geoinformationssystem - Wissensextraktion - Kontextbezogenes System - Privatsphäre - Aufsatzsammlung | |
| 650 | 4 | |a Mobile Computing - Mobiles Datenbanksystem - Data Mining - Privatsphäre - Aufsatzsammlung | |
| 650 | 4 | |a Mobile Computing - Räumliches Datenbanksystem - Zeitliches Datenbanksystem - Data Mining - Aufsatzsammlung | |
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| 700 | 1 | |a Giannotti, Fosca |4 edt | |
| 700 | 1 | |a Pedreschi, Dino |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-540-75177-9 |
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Datensatz im Suchindex
| _version_ | 1804137361238392832 |
|---|---|
| adam_text | Contents
Mobility,
Data Mining
and Privacy:
A
Vision
of Convergence
.......... 1
F. Giannotti
and D.
Pedreschi
1
Mobility Data
............................................. 2
2
Data Mining
.............................................. 3
3
Mobility Data Mining
...................................... 4
4
Privacy
................................................... 8
5
Purpose of This Book
...................................... 9
References
..................................................... 11
Parti Setting the Stage
1
Basic Concepts of Movement Data
.............................. 15
N.
Andrienko, G. Andrienko,
N.
Pelekis, and S. Spaccapietra
1.1
Introduction
.............................................. 15
1.2
Movement Data and Their Characteristics
..................... 18
1.3
Analytical Questions
....................................... 25
1.4
Conclusion
............................................... 38
References
..................................................... 38
2
Characterising the Next Generation of Mobile Applications
Through a Privacy-Aware Geographic Knowledge Discovery Process
39
M. Wachowicz, A. Ligtenberg,
С
Renso, and S. Giirses
2.1
Introduction
.............................................. 39
2.2
The Privacy-Aware Geographic Knowledge Discovery Process
___ 41
2.3
The Geographic Knowledge Discovery Process
................. 43
2.4
Refraining a GKDD Process Using a Multi-tier Ontological
Perspective
............................................... 47
2.5
The Multi-tier Ontological Framework
........................ 51
2.6
Future Application Domains for a Privacy-Aware GKDD Process
.. 60
2.7
Conclusions
.............................................. 69
References
..................................................... 70
viii Contents
3
Wireless Network Data Sources: Tracking
and Synthesizing Trajectories
.................................. 73
C. Renso, S.
Puntoni, E.
Frentzos,
A. Mazzoni,
В.
Moelans,
N.
Pelekis,
and F.
Pini
3.1
Introduction
.............................................. 73
3.2
Categorization of Positioning Technologies
.................... 74
3.3
Mobile Location Systems
................................... 83
3.4
From Positioning to Tracking: Collecting User Movements
....... 89
3.5
Synthetic Trajectory Generators
.............................. 91
3.6
Conclusions and Open Issues
................................ 98
References
..................................................... 99
4
Privacy Protection: Regulations
and Technologies, Opportunities and Threats
....................101
D. Pedreschi, F. Bonchi, F. Turini, V.S. Verykios, M. Atzori,
B. Malin,
В.
Moelans,
and
Y.
Say
gin
4.1
Introduction
..............................................101
4.2
Privacy Regulations
........................................106
4.3
Privacy-Preserving Data Analysis
............................114
4.4
The Role of the Observatory
.................................116
4.5
Conclusions
..............................................117
References
.....................................................118
Part
Π
Managing Moving Object and Trajectory Data
5
Trajectory Data Models
.......................................123
J.
Macedo,
С.
Vangenot,
W.
Othman,
N.
Pelekis,
E. Frentzos,
В.
Kuijpers, I. Ntoutsi,
S.
Spaccapietra, and Y. Theodoridis
5.1
Introduction
..............................................123
5.2
Basic Concepts: From Raw Data to Trajectory
..................124
5.3
Modelling Approaches for Trajectories
........................129
5.4
Open Issues
...............................................141
References
.....................................................147
6
Trajectory Database Systems
.................................. 151
E. Frentzos,
N.
Pelekis, I. Ntoutsi, and Y. Theodoridis
6.1
Introduction
..............................................151
6.2
Trajectory Database Engines
................................151
6.3
Trajectory Indexing
........................................154
6.4
Trajectory Query Processing and Optimization
.................159
6.5
Dealing with Location Uncertainty
...........................165
6.6
Handling Trajectory Compression
............................170
6.7
Open Issues: Roadmap
.....................................173
6.8
Concluding Remarks
.......................................183
References
.....................................................183
Contents
їх
7
Towards
lïajectory
Data Warehouses
........................... 189
N.
Pelekis,
A. Raffaetà,
M.-L. Damiani, C.
Vangenot, G.
Marketos,
E.
Frentzos, I. Ntoutsi, and Y. Theodoridis
7.1
Introduction
..............................................189
7.2
Preliminaries and Related Work
..............................191
7.3
Requirements for Trajectory Data Warehouses
..................198
7.4
Modelling and Uncertainty Issues
............................206
7.5
Conclusions
..............................................209
References
.....................................................210
8
Privacy and Security in
Spatiotemporal
Data and Trajectories
......213
V.S. Verykios, M.L. Damiani, and A. Gkoulalas-Divanis
8.1
Introduction
..............................................213
8.2
State of the Art
............................................215
8.3
Open Issues, Future Work, and Road Map
...................... 231
8.4
Conclusion
...............................................238
References
.....................................................238
Part III Mining
Spatiotemporal
and Trajectory Data
9
Knowledge Discovery from Geographical Data
...................243
S. Rinzivillo, F. Turini, V. Bogorny, C.
Körner,
В.
Kuijpers, and
M.
May
9.1
Introduction
..............................................243
9.2
Geographic Data Representation and Modelling
................244
9.3
Geographic Information Systems
.............................246
9.4
Spatial Feature Extraction
...................................247
9.5
Spatial Data Mining
........................................253
9.6
Example: Frequency Prediction of Inner-City Traffic
............260
9.7
Roadmap to Knowledge Discovery from
Spatiotemporal Data
.....261
9.8
Summary
.................................................263
References
.....................................................263
10
Spatiotemporal Data
Mining
..................................267
M. Nanni, B. Kuijpers, C.
Körner,
M.
May, and D. Pedreschi
10.1
Introduction
..............................................267
10.2
Challenges for
Spatiotemporal Data
Mining
....................268
10.3
Clustering
................................................270
10.4
Spatiotemporal
Local Patterns
...............................276
10.5
Prediction
................................................284
10.6
The Role of Uncertainty in
Spatiotemporal Data
Mining
.........289
10.7
Conclusion
...............................................289
References
.....................................................292
χ
Contents
11
Privacy in
Spatiotemporal Data
Mining
.........................297
F. Bonchi, Y. Saygin, V.S. Verykios, M. Atzori, A. Gkoulalas-Divanis,
S.V.
Kaya, and E.
Savaş
11.1
Introduction
..............................................297
11.2
Data Perturbation and Obfuscation
...........................300
11.3
Knowledge Hiding
.........................................304
11.4
Distributed Privacy-Preserving Data Mining
...................312
11.5
Privacy-Aware Knowledge Sharing
...........................320
11.6
Roadmap Toward Privacy-Aware Mining of
Spatiotemporal
Data
.. 325
11.7
Conclusions
..............................................328
References
.....................................................329
12
Querying and Reasoning for
Spatiotemporal Data
Mining
..........335
G.
Manco,
M.
Baglioni,
F.
Giannotti,
В.
Kuijpers,
A. Raffaetà,
and
С.
Renso
12.1
Introduction
..............................................335
12.2
Elements of a Data Mining Query Language
...................337
12.3
DMQL Approaches in the Literature
..........................342
12.4
Querying
Spatiotemporal Data
...............................358
12.5
Discussion
................................................369
12.6
Conclusions
..............................................370
References
.....................................................371
13
Visual Analytics Methods for Movement Data
....................375
G. Andrienko,
N.
Andrienko, I. Kopanakis, A. Ligtenberg,
and S.
Wróbel
13.1
Introduction
..............................................375
13.2
State of the Art
............................................376
13.3
Patterns in Movement Data
..................................383
13.4
Helping Users to Detect Patterns: A Roadmap
..................388
13.5
Visualization of Patterns
....................................401
13.6
Conclusion
...............................................407
References
.....................................................408
|
| adam_txt |
Contents
Mobility,
Data Mining
and Privacy:
A
Vision
of Convergence
. 1
F. Giannotti
and D.
Pedreschi
1
Mobility Data
. 2
2
Data Mining
. 3
3
Mobility Data Mining
. 4
4
Privacy
. 8
5
Purpose of This Book
. 9
References
. 11
Parti Setting the Stage
1
Basic Concepts of Movement Data
. 15
N.
Andrienko, G. Andrienko,
N.
Pelekis, and S. Spaccapietra
1.1
Introduction
. 15
1.2
Movement Data and Their Characteristics
. 18
1.3
Analytical Questions
. 25
1.4
Conclusion
. 38
References
. 38
2
Characterising the Next Generation of Mobile Applications
Through a Privacy-Aware Geographic Knowledge Discovery Process
39
M. Wachowicz, A. Ligtenberg,
С
Renso, and S. Giirses
2.1
Introduction
. 39
2.2
The Privacy-Aware Geographic Knowledge Discovery Process
_ 41
2.3
The Geographic Knowledge Discovery Process
. 43
2.4
Refraining a GKDD Process Using a Multi-tier Ontological
Perspective
. 47
2.5
The Multi-tier Ontological Framework
. 51
2.6
Future Application Domains for a Privacy-Aware GKDD Process
. 60
2.7
Conclusions
. 69
References
. 70
viii Contents
3
Wireless Network Data Sources: Tracking
and Synthesizing Trajectories
. 73
C. Renso, S.
Puntoni, E.
Frentzos,
A. Mazzoni,
В.
Moelans,
N.
Pelekis,
and F.
Pini
3.1
Introduction
. 73
3.2
Categorization of Positioning Technologies
. 74
3.3
Mobile Location Systems
. 83
3.4
From Positioning to Tracking: Collecting User Movements
. 89
3.5
Synthetic Trajectory Generators
. 91
3.6
Conclusions and Open Issues
. 98
References
. 99
4
Privacy Protection: Regulations
and Technologies, Opportunities and Threats
.101
D. Pedreschi, F. Bonchi, F. Turini, V.S. Verykios, M. Atzori,
B. Malin,
В.
Moelans,
and
Y.
Say
gin
4.1
Introduction
.101
4.2
Privacy Regulations
.106
4.3
Privacy-Preserving Data Analysis
.114
4.4
The Role of the Observatory
.116
4.5
Conclusions
.117
References
.118
Part
Π
Managing Moving Object and Trajectory Data
5
Trajectory Data Models
.123
J.
Macedo,
С.
Vangenot,
W.
Othman,
N.
Pelekis,
E. Frentzos,
В.
Kuijpers, I. Ntoutsi,
S.
Spaccapietra, and Y. Theodoridis
5.1
Introduction
.123
5.2
Basic Concepts: From Raw Data to Trajectory
.124
5.3
Modelling Approaches for Trajectories
.129
5.4
Open Issues
.141
References
.147
6
Trajectory Database Systems
. 151
E. Frentzos,
N.
Pelekis, I. Ntoutsi, and Y. Theodoridis
6.1
Introduction
.151
6.2
Trajectory Database Engines
.151
6.3
Trajectory Indexing
.154
6.4
Trajectory Query Processing and Optimization
.159
6.5
Dealing with Location Uncertainty
.165
6.6
Handling Trajectory Compression
.170
6.7
Open Issues: Roadmap
.173
6.8
Concluding Remarks
.183
References
.183
Contents
їх
7
Towards
lïajectory
Data Warehouses
. 189
N.
Pelekis,
A. Raffaetà,
M.-L. Damiani, C.
Vangenot, G.
Marketos,
E.
Frentzos, I. Ntoutsi, and Y. Theodoridis
7.1
Introduction
.189
7.2
Preliminaries and Related Work
.191
7.3
Requirements for Trajectory Data Warehouses
.198
7.4
Modelling and Uncertainty Issues
.206
7.5
Conclusions
.209
References
.210
8
Privacy and Security in
Spatiotemporal
Data and Trajectories
.213
V.S. Verykios, M.L. Damiani, and A. Gkoulalas-Divanis
8.1
Introduction
.213
8.2
State of the Art
.215
8.3
Open Issues, Future Work, and Road Map
. 231
8.4
Conclusion
.238
References
.238
Part III Mining
Spatiotemporal
and Trajectory Data
9
Knowledge Discovery from Geographical Data
.243
S. Rinzivillo, F. Turini, V. Bogorny, C.
Körner,
В.
Kuijpers, and
M.
May
9.1
Introduction
.243
9.2
Geographic Data Representation and Modelling
.244
9.3
Geographic Information Systems
.246
9.4
Spatial Feature Extraction
.247
9.5
Spatial Data Mining
.253
9.6
Example: Frequency Prediction of Inner-City Traffic
.260
9.7
Roadmap to Knowledge Discovery from
Spatiotemporal Data
.261
9.8
Summary
.263
References
.263
10
Spatiotemporal Data
Mining
.267
M. Nanni, B. Kuijpers, C.
Körner,
M.
May, and D. Pedreschi
10.1
Introduction
.267
10.2
Challenges for
Spatiotemporal Data
Mining
.268
10.3
Clustering
.270
10.4
Spatiotemporal
Local Patterns
.276
10.5
Prediction
.284
10.6
The Role of Uncertainty in
Spatiotemporal Data
Mining
.289
10.7
Conclusion
.289
References
.292
χ
Contents
11
Privacy in
Spatiotemporal Data
Mining
.297
F. Bonchi, Y. Saygin, V.S. Verykios, M. Atzori, A. Gkoulalas-Divanis,
S.V.
Kaya, and E.
Savaş
11.1
Introduction
.297
11.2
Data Perturbation and Obfuscation
.300
11.3
Knowledge Hiding
.304
11.4
Distributed Privacy-Preserving Data Mining
.312
11.5
Privacy-Aware Knowledge Sharing
.320
11.6
Roadmap Toward Privacy-Aware Mining of
Spatiotemporal
Data
. 325
11.7
Conclusions
.328
References
.329
12
Querying and Reasoning for
Spatiotemporal Data
Mining
.335
G.
Manco,
M.
Baglioni,
F.
Giannotti,
В.
Kuijpers,
A. Raffaetà,
and
С.
Renso
12.1
Introduction
.335
12.2
Elements of a Data Mining Query Language
.337
12.3
DMQL Approaches in the Literature
.342
12.4
Querying
Spatiotemporal Data
.358
12.5
Discussion
.369
12.6
Conclusions
.370
References
.371
13
Visual Analytics Methods for Movement Data
.375
G. Andrienko,
N.
Andrienko, I. Kopanakis, A. Ligtenberg,
and S.
Wróbel
13.1
Introduction
.375
13.2
State of the Art
.376
13.3
Patterns in Movement Data
.383
13.4
Helping Users to Detect Patterns: A Roadmap
.388
13.5
Visualization of Patterns
.401
13.6
Conclusion
.407
References
.408 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author2 | Giannotti, Fosca Pedreschi, Dino |
| author2_role | edt edt |
| author2_variant | f g fg d p dp |
| author_facet | Giannotti, Fosca Pedreschi, Dino |
| building | Verbundindex |
| bvnumber | BV023102193 |
| classification_rvk | QH 500 RB 10104 RB 10717 ST 200 ST 302 |
| ctrlnum | (OCoLC)253911081 (DE-599)DNB985622156 |
| dewey-full | 004 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004 |
| dewey-search | 004 |
| dewey-sort | 14 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Wirtschaftswissenschaften Geographie |
| discipline_str_mv | Informatik Wirtschaftswissenschaften Geographie |
| format | Book |
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| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV023102193 |
| illustrated | Illustrated |
| index_date | 2024-07-02T19:45:07Z |
| indexdate | 2024-07-09T21:11:04Z |
| institution | BVB |
| isbn | 3540751769 9783540751762 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016304905 |
| oclc_num | 253911081 |
| open_access_boolean | |
| owner | DE-29T DE-20 DE-83 DE-11 DE-526 DE-384 |
| owner_facet | DE-29T DE-20 DE-83 DE-11 DE-526 DE-384 |
| physical | XIV, 410 S. graph. Darst. 235 mm x 155 mm |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | Springer |
| record_format | marc |
| spelling | Mobility, data mining, and privacy geographic knowledge discovery ; with 5 tables Fosca Giannotti ; Dino Pedreschi, eds. Berlin [u.a.] Springer 2008 XIV, 410 S. graph. Darst. 235 mm x 155 mm txt rdacontent n rdamedia nc rdacarrier Mobile Computing - Geoinformationssystem - Wissensextraktion - Kontextbezogenes System - Privatsphäre - Aufsatzsammlung Mobile Computing - Mobiles Datenbanksystem - Data Mining - Privatsphäre - Aufsatzsammlung Mobile Computing - Räumliches Datenbanksystem - Zeitliches Datenbanksystem - Data Mining - Aufsatzsammlung Zeitliches Datenbanksystem (DE-588)4407818-3 gnd rswk-swf Kontextbezogenes System (DE-588)4739720-2 gnd rswk-swf Geoinformationssystem (DE-588)4261642-6 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Wissensextraktion (DE-588)4546354-2 gnd rswk-swf Räumliches Datenbanksystem (DE-588)4232580-8 gnd rswk-swf Mobiles Datenbanksystem (DE-588)4789128-2 gnd rswk-swf Mobile Computing (DE-588)4694120-4 gnd rswk-swf Privatsphäre (DE-588)4123980-5 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Mobile Computing (DE-588)4694120-4 s Mobiles Datenbanksystem (DE-588)4789128-2 s Data Mining (DE-588)4428654-5 s Privatsphäre (DE-588)4123980-5 s DE-604 Geoinformationssystem (DE-588)4261642-6 s Wissensextraktion (DE-588)4546354-2 s Kontextbezogenes System (DE-588)4739720-2 s Räumliches Datenbanksystem (DE-588)4232580-8 s Zeitliches Datenbanksystem (DE-588)4407818-3 s Giannotti, Fosca edt Pedreschi, Dino edt Erscheint auch als Online-Ausgabe 978-3-540-75177-9 Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016304905&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Mobility, data mining, and privacy geographic knowledge discovery ; with 5 tables Mobile Computing - Geoinformationssystem - Wissensextraktion - Kontextbezogenes System - Privatsphäre - Aufsatzsammlung Mobile Computing - Mobiles Datenbanksystem - Data Mining - Privatsphäre - Aufsatzsammlung Mobile Computing - Räumliches Datenbanksystem - Zeitliches Datenbanksystem - Data Mining - Aufsatzsammlung Zeitliches Datenbanksystem (DE-588)4407818-3 gnd Kontextbezogenes System (DE-588)4739720-2 gnd Geoinformationssystem (DE-588)4261642-6 gnd Data Mining (DE-588)4428654-5 gnd Wissensextraktion (DE-588)4546354-2 gnd Räumliches Datenbanksystem (DE-588)4232580-8 gnd Mobiles Datenbanksystem (DE-588)4789128-2 gnd Mobile Computing (DE-588)4694120-4 gnd Privatsphäre (DE-588)4123980-5 gnd |
| subject_GND | (DE-588)4407818-3 (DE-588)4739720-2 (DE-588)4261642-6 (DE-588)4428654-5 (DE-588)4546354-2 (DE-588)4232580-8 (DE-588)4789128-2 (DE-588)4694120-4 (DE-588)4123980-5 (DE-588)4143413-4 |
| title | Mobility, data mining, and privacy geographic knowledge discovery ; with 5 tables |
| title_auth | Mobility, data mining, and privacy geographic knowledge discovery ; with 5 tables |
| title_exact_search | Mobility, data mining, and privacy geographic knowledge discovery ; with 5 tables |
| title_exact_search_txtP | Mobility, data mining, and privacy geographic knowledge discovery ; with 5 tables |
| title_full | Mobility, data mining, and privacy geographic knowledge discovery ; with 5 tables Fosca Giannotti ; Dino Pedreschi, eds. |
| title_fullStr | Mobility, data mining, and privacy geographic knowledge discovery ; with 5 tables Fosca Giannotti ; Dino Pedreschi, eds. |
| title_full_unstemmed | Mobility, data mining, and privacy geographic knowledge discovery ; with 5 tables Fosca Giannotti ; Dino Pedreschi, eds. |
| title_short | Mobility, data mining, and privacy |
| title_sort | mobility data mining and privacy geographic knowledge discovery with 5 tables |
| title_sub | geographic knowledge discovery ; with 5 tables |
| topic | Mobile Computing - Geoinformationssystem - Wissensextraktion - Kontextbezogenes System - Privatsphäre - Aufsatzsammlung Mobile Computing - Mobiles Datenbanksystem - Data Mining - Privatsphäre - Aufsatzsammlung Mobile Computing - Räumliches Datenbanksystem - Zeitliches Datenbanksystem - Data Mining - Aufsatzsammlung Zeitliches Datenbanksystem (DE-588)4407818-3 gnd Kontextbezogenes System (DE-588)4739720-2 gnd Geoinformationssystem (DE-588)4261642-6 gnd Data Mining (DE-588)4428654-5 gnd Wissensextraktion (DE-588)4546354-2 gnd Räumliches Datenbanksystem (DE-588)4232580-8 gnd Mobiles Datenbanksystem (DE-588)4789128-2 gnd Mobile Computing (DE-588)4694120-4 gnd Privatsphäre (DE-588)4123980-5 gnd |
| topic_facet | Mobile Computing - Geoinformationssystem - Wissensextraktion - Kontextbezogenes System - Privatsphäre - Aufsatzsammlung Mobile Computing - Mobiles Datenbanksystem - Data Mining - Privatsphäre - Aufsatzsammlung Mobile Computing - Räumliches Datenbanksystem - Zeitliches Datenbanksystem - Data Mining - Aufsatzsammlung Zeitliches Datenbanksystem Kontextbezogenes System Geoinformationssystem Data Mining Wissensextraktion Räumliches Datenbanksystem Mobiles Datenbanksystem Mobile Computing Privatsphäre Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016304905&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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