Predictive analytics and protection of massive data:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Aachen
Apprimus Verlag
2015
|
| Ausgabe: | 1. Auflage |
| Schriftenreihe: | Ergebnisse aus der Informatik
5 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Inhaltsverzeichnis |
| Beschreibung: | iv, 286, XXVI Seiten Illustrationen, Diagramme 21 cm |
| ISBN: | 9783863593568 |
Internformat
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Datensatz im Suchindex
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| adam_text | CONTENTS
ABSTRACT / ZUSAMMENFASSUNG 1
1 INTRODUCTION 5
1.1 PREDICTIVE ANALYTICS ON MASSIVE DATA 7
1.2 DATA PROTECTION AND PRIVACY 10
1.3 CONTRIBUTIONS AND STRUCTURE OF THESIS 10
2 PRELIMINARIES 15
2.1 WAVELET THEORY 15
2.2 INTRODUCTION TO MARKOV CHAINS 19
2.3 INTRODUCTION TO HIDDEN MARKOV MODEL 20
2.4 INTRODUCTION TO CONDITIONAL RANDOM FIELDS 23
2.5 PRIVACY PRESERVING DATA MINING 25
I PREDICTIVE ANALYTICS ON SPARSE DATA 31
3 CHECK-IN PREDICTION WITH POISSON PROCESS AND LIPSCHITZ EX
PONENT 33
3.1 MOTIVATION 34
3.2 HISTORICAL MOBILITY STATISTICS AND MODELING 39
3.3 SOCIAL INFLUENCE DETECTION AND QUANTIFICATION USING WAVELETS 46
3.4 CHECK-IN PREDICTION WITH CRF 51
3.5 EXPERIMENTS 53
3.6 CONCLUSIONS 58
4 EXPLORING GAUSSIAN KERNEL CLUSTERS FOR CHECK-IN PREDICTION 59
HTTP://D-NB.INFO/1078172587
II CONTENTS
4.1 MOTIVATION 60
4.2 MODELING USING GAUSSIAN KERNEL CLUSTERS 63
4.3 USER PREFERENCE INFERENCE USING WAVELETS 66
4.4 GEO-SOCIAL AND LOCATION INFLUENCE ESTIMATION 70
4.5 CHECK-IN PREDICTION USING CRF 74
4.6 EXPERIMENTS 76
4.7 CONCLUSIONS 82
II PREDICTIVE ANALYTICS ON DENSE DATA 83
5 TRAJECTORY MODELING AND PREDICTION USING TMC-PATTERN 85
5.1 MOTIVATION 86
5.2 TRAJECTORY MODELING 88
5.3 TRAJECTORY MINING 94
5.4 EXPERIMENTS 97
5.5 CONCLUSIONS 102
6 LOCATION PREDICTION USING FREQUENT NEIGHBORS AND MARKOV
MODEL 103
6.1 MOTIVATION 104
6.2 TRAJECTORY PREDICTION 106
6.3 EXPERIMENTS 116
6.4 CONCLUSIONS 120
III PREDICTIVE ANALYTICS ON SENSOR DATA 121
7 ACTIVITY RECOGNITION FROM ACCELEROMETER SENSORS WITH HMM 123
7.1 MOTIVATION 124
7.2 PROBLEM FORMULATION 127
7.3 FEATURE EXTRACTION AND QUANTIZATION 128
7.4 PREDICTIVE MODEL FOR ACTIVITY RECOGNITION 131
7.5 EXPERIMENTS 132
7.6 CONCLUSIONS 136
CONTENTS III
8 NEAR-OPTIMAL ACTIVITY PREDICTION BY MODULUS MAXIMA CLUS
TERING 137
8.1 MOTIVATION 138
8.2 PROBLEM STATEMENT 139
8.3 FEATURE SELECTION AND CODEBOOK DESIGN 140
8.4 ACTIVITY RECOGNITION USING CRF 145
8.5 EXPERIMENTS 146
8.6 CONCLUSIONS 152
9 PARKINSON S DISEASE GAIT PREDICTION FROM SENSOR TIMESERIES 153
9.1 MOTIVATION 154
9.2 DATA ACQUISITION AND PROBLEM DEFINITION 156
9.3 MOVEMENT TIME SERIES ANALYSIS 157
9.4 FOG PREDICTIVE MODEL 160
9.5 EXPERIMENTS 162
9.6 CONCLUSIONS 168
IV PRIVACY PRESERVING DATA MINING 169
10 STRUCTURAL ANONYMIZATION OF MASSIVE NETWORKS 171
10.1 MOTIVATION 171
10.2 PRELIMINARIES AND PROBLEM DEFINITION 175
10.3 (A;,
5)-CORE ANONYMITY 183
10.4 EXPERIMENTS 193
10.5 CONCLUSIONS 200
11 DIFFERENTIAL PRIVATE DBSCAN USING BINOMIAL DISTRIBUTION 201
11.1 MOTIVATION 202
11.2 PRELIMINARIES 205
11.3 PRIVATE CLUSTERING 206
11.4 SYNTHETIC DATA GENERATION 220
11.5 EXPERIMENTS 225
11.6 CONCLUSIONS 229
IV CONTENTS
12 LOCATION PRIVACY OF MOVING OBJECTS USING DIFFERENTIAL PRI
VACY 231
12.1 MOTIVATIONS 232
12.2 DATA PROCESSING AND PROBLEM FORMULATION 235
12.3 LOCATION PRIVACY THROUGH LAPLACE NOISE 238
12.4 LOCATION OBFUSCATION 242
12.5 LOCATION DATA UTILITY 248
12.6 EXPERIMENTS 251
12.7 CONCLUSIONS 256
13 PRIVATE MAP MATCHING ON ROAD NETWORKS 257
13.1 MOTIVATIONS 258
13.2 HMM MAP MATCHING 260
13.3 PRIVACY AND MAP MATCHING FUSION 269
13.4 EXPERIMENTS 273
13.5 CONCLUSION 277
V CONCLUSION AND OUTLOOK 279
14 CONCLUSIONS AND FUTURE WORKS 281
14.1 SUMMARY 281
14.2 FUTURE WORKS 283
14.3 CONCLUSIONS 285
VI APPENDICES I
BIBLIOGRAPHY III
STATEMENT OF ORIGINALITY XXHI
LIST OF PUBLICATIONS XXV
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| dewey-full | 006.312 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| dewey-search | 006.312 |
| dewey-sort | 16.312 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 1. Auflage |
| format | Thesis Book |
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| indexdate | 2024-07-10T07:32:54Z |
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| spelling | Assam, Roland Amba Verfasser (DE-588)1078296502 aut Predictive analytics and protection of massive data vorgelegt von Diplom-Ingenieur Roland Amba Assam 1. Auflage Aachen Apprimus Verlag 2015 iv, 286, XXVI Seiten Illustrationen, Diagramme 21 cm txt rdacontent n rdamedia nc rdacarrier Ergebnisse aus der Informatik 5 Dissertation RWTH Aachen University 2015 Privatsphäre (DE-588)4123980-5 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Wissensextraktion (DE-588)4546354-2 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Prädiktionsanalyse (DE-588)4265579-1 gnd rswk-swf Datenschutz (DE-588)4011134-9 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Data Mining (DE-588)4428654-5 s Prädiktionsanalyse (DE-588)4265579-1 s Privatsphäre (DE-588)4123980-5 s Datenschutz (DE-588)4011134-9 s Wissensextraktion (DE-588)4546354-2 s Big Data (DE-588)4802620-7 s DE-604 Ergebnisse aus der Informatik 5 (DE-604)BV041550009 5 B:DE-101 application/pdf http://d-nb.info/1078172587/04 Inhaltsverzeichnis DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029113906&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Assam, Roland Amba Predictive analytics and protection of massive data Ergebnisse aus der Informatik Privatsphäre (DE-588)4123980-5 gnd Big Data (DE-588)4802620-7 gnd Wissensextraktion (DE-588)4546354-2 gnd Data Mining (DE-588)4428654-5 gnd Prädiktionsanalyse (DE-588)4265579-1 gnd Datenschutz (DE-588)4011134-9 gnd |
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| title | Predictive analytics and protection of massive data |
| title_auth | Predictive analytics and protection of massive data |
| title_exact_search | Predictive analytics and protection of massive data |
| title_full | Predictive analytics and protection of massive data vorgelegt von Diplom-Ingenieur Roland Amba Assam |
| title_fullStr | Predictive analytics and protection of massive data vorgelegt von Diplom-Ingenieur Roland Amba Assam |
| title_full_unstemmed | Predictive analytics and protection of massive data vorgelegt von Diplom-Ingenieur Roland Amba Assam |
| title_short | Predictive analytics and protection of massive data |
| title_sort | predictive analytics and protection of massive data |
| topic | Privatsphäre (DE-588)4123980-5 gnd Big Data (DE-588)4802620-7 gnd Wissensextraktion (DE-588)4546354-2 gnd Data Mining (DE-588)4428654-5 gnd Prädiktionsanalyse (DE-588)4265579-1 gnd Datenschutz (DE-588)4011134-9 gnd |
| topic_facet | Privatsphäre Big Data Wissensextraktion Data Mining Prädiktionsanalyse Datenschutz Hochschulschrift |
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| volume_link | (DE-604)BV041550009 |
| work_keys_str_mv | AT assamrolandamba predictiveanalyticsandprotectionofmassivedata |
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