Learning from data streams: processing techniques in sensor networks
Gespeichert in:
| Weitere beteiligte Personen: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2007
|
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016080202&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | X, 244 S. Ill., graph. Darst. 235 mm x 155 mm |
| ISBN: | 9783540736783 3540736786 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
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| 245 | 1 | 0 | |a Learning from data streams |b processing techniques in sensor networks |c Hrsg. Joao Gama ... |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2007 | |
| 300 | |a X, 244 S. |b Ill., graph. Darst. |c 235 mm x 155 mm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 7 | |a Inteligência artificial |2 larpcal | |
| 650 | 7 | |a Mineração de dados |2 larpcal | |
| 650 | 7 | |a Sistemas híbridos |2 larpcal | |
| 650 | 4 | |a Algorithms | |
| 650 | 4 | |a Coding theory | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Sensor networks | |
| 650 | 0 | 7 | |a Data Mining |0 (DE-588)4428654-5 |2 gnd |9 rswk-swf |
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| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-016080202 | |
Datensatz im Suchindex
| _version_ | 1819265835561123840 |
|---|---|
| adam_text | Contents
1
Introduction
João Gama,
Mohamed Medhat
Gaber................................
I
1.1
Preamble
.................................................... 1
1.2
Book Overview
............................................... 2
1.3
Roadmap
.................................................... 3
1.4
Final Remarks
................................................ 4
References
......................................................... 4
Part I Overview
2
Sensor Networks: An Overview
João
Barros......................................................
9
2.1
Sensing and Communicating
.................................... 9
2.2
Current Sensor Network Technology
............................. 11
2.3
Communication Aspects
....................................... 13
2.4
Distributed Compression and In-Network Computation
............. 17
2.5
Summary and Concluding Remarks
.............................. 22
References
......................................................... 22
3
Data Stream Processing
João GAMA, Pedro Pereira
RODRIGUES
................................ 25
3.1
Introduction
.................................................. 25
3.2
Data Stream Models
........................................... 26
3.3
Basic Streaming Methods
...................................... 28
3.4
Basic Streaming Algorithms
.................................... 33
3.5
Emerging Challenges and Future Issues
........................... 37
References
......................................................... 38
4
Data Stream Processing in Sensor Networks
Mohamed
Medhat Gaber
............................................ 41
4.1
Introduction
.................................................. 41
4.2
Classification of Data Stream Processing in Sensor Networks
........ 42
4.3
Research Issues and Challenges
................................. 44
4.4
Summary
.................................................... 45
References
......................................................... 46
VIU
Part II Data Stream Management Techniques in Sensor Networks
5
Data Stream Management Systems and Architectures
M.A.
Hämmad,
T.M.
Ghanem,
WG.
Aref, A.K. Elmagarmid,
M.F. Mokbel
...................................................... 51
5.1
Introduction
.................................................. 51
5.2
Nile System Design
........................................... 53
5.3
The Correctness Measure
....................................... 57
5.4
The Progressive Evaluation of Sliding-Window Queries
............. 58
5.5
Extensions
................................................... 63
5.6
A Scalable Data Stream Management System
...................... 67
5.7
Related Work
................................................ 69
5.8
Summary
.................................................... 70
References
......................................................... 70
6
Querying of Sensor Data
Niki Trigoni,
Alexandre
Guitton,
Antonios
Skordylis
................ 73
6.1
Introduction
.................................................. 73
6.2
Types
of Queries
.............................................. 74
6.3
Query Dissemination
.......................................... 76
6.4
Result Collection
............................................. 79
6.5
Data-Centric Storage
.......................................... 83
6.6
Concluding Remarks
.......................................... 84
References
......................................................... 84
7
Aggregation and Summarization in Sensor Networks
Nisheeth Shrivastava, Chiranjeeb BURAGOHAIN
...................... 87
7.1
Introduction
.................................................. 87
7.2
Preliminaries and Related Work
................................. 90
7.3
Complex Queries in Sensor Networks
............................ 93
7.4
Aggregation in Lossy Networks
.................................100
7.5
Conclusion and Future Directions
................................103
References
.........................................................103
8
Sensory Data Monitoring
Rachel Cardell-Oliver
...........................................107
8.1
Specifying Sensory Data Monitoring Goals
.......................109
8.2
Identifying Significant Data: In-network processing
................113
8.3
Accuracy: Identifying Sensing Errors
............................116
8.4
Summary
....................................................119
References
.........................................................120
IX
Part III Mining Sensor Network Data Streams
9
Clustering Techniques in Sensor Networks
Pedro
Pereira RODRIGUES, João GAMA
................................125
9.1
A Ubiquitous Streaming Setting
.................................125
9.2
The Core of Clustering Procedures
...............................126
9.3
Clustering Streaming Examples
.................................129
9.4
Clustering Multiple Data Streams
................................132
9.5
Open Issues on Clustering Sensor Data Streams
....................139
References
.........................................................140
10
Predictive Learning in Sensor Networks
João GAMA,
Rasmus Ulslev Pedersen
................................143
10.1
Introduction
..................................................143
10.2
General Issues
................................................144
10.3
Centralized Approaches
........................................151
10.4
Distributed Solutions
..........................................160
10.5
Emerging Challenges and Future Issues
...........................162
References
.........................................................163
11
Tensor Analysis on Multi-aspect Streams
Jimeng SUN, Spiros Papadimitriou, Philip S. Yu
......................165
11.1
Introduction
..................................................165
11.2
Background
..................................................169
11.3
Problem Formulation
..........................................172
11.4
Window-Based Tensor Analysis
.................................173
11.5
Performance Evaluation
........................................179
11.6
Application and Case Study
....................................180
11.7
Related Work
................................................182
11.8
Conclusion
..................................................183
References
.........................................................183
Part IV Applications
12
Knowledge Discovery from Sensor Data for Security Applications
Auroop R. Ganguly, OlufemiA. Omitaomu, Randy M. Walker
.........187
12.1
Introduction
..................................................187
12.2
Security Challenges
...........................................188
12.3
Disparate Data Exploitation
.....................................189
12.4
Case Study: Weigh Station Sensors
..............................192
12.5
Closing Remarks
.............................................201
References
.........................................................203
13 Knowledge Discovery
from
Sensor Data
For Scientific
Applications
Auroop
R.
Ganguly, OlufemiA. Omitaomu, Yi Fang, Shiraj Khan,
Budhendra L. Bhaduri.............................................205
13.1
Introduction
..................................................206
13.2
A Broader
Knowledge Discovery Framework......................207
13.3
Weather, Climate,
and Associated
Natural Hazards
.................210
13.4
Significance and Challenges of Knowledge Discovery from Sensor
Data for Natural Hazards
.......................................214
13.5
Knowledge Discovery Approaches for Weather, Climate and
Associated Natural Hazards
.....................................217
13.6
The Utilization of Knowledge Discovery Insights for Hazards
Mitigation
...................................................222
13.7
Closing Remarks
.............................................224
References
.........................................................226
14
TinyOS Education with LEGO MINDSTORMS NXT
Rasmus Ulslev Pedersen
............................................231
14.1
Introduction
..................................................231
14.2
NXT Brick
...................................................232
14.3
LEGO Ecosystem
.............................................237
14.4
Proposing a TinyOS Educational Platform for NXT
................240
14.5
Conclusion
..................................................240
References
.........................................................241
Index
.............................................................243
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| id | DE-604.BV022875151 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T13:05:10Z |
| institution | BVB |
| isbn | 9783540736783 3540736786 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016080202 |
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| physical | X, 244 S. Ill., graph. Darst. 235 mm x 155 mm |
| publishDate | 2007 |
| publishDateSearch | 2007 |
| publishDateSort | 2007 |
| publisher | Springer |
| record_format | marc |
| spellingShingle | Learning from data streams processing techniques in sensor networks Inteligência artificial larpcal Mineração de dados larpcal Sistemas híbridos larpcal Algorithms Coding theory Data mining Sensor networks Data Mining (DE-588)4428654-5 gnd Datenstrom (DE-588)4410055-3 gnd Wissensextraktion (DE-588)4546354-2 gnd Information-Retrieval-System (DE-588)4670557-0 gnd Datenverwaltung (DE-588)4011168-4 gnd Drahtloses Sensorsystem (DE-588)4789222-5 gnd Verteiltes System (DE-588)4238872-7 gnd |
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| title | Learning from data streams processing techniques in sensor networks |
| title_auth | Learning from data streams processing techniques in sensor networks |
| title_exact_search | Learning from data streams processing techniques in sensor networks |
| title_full | Learning from data streams processing techniques in sensor networks Hrsg. Joao Gama ... |
| title_fullStr | Learning from data streams processing techniques in sensor networks Hrsg. Joao Gama ... |
| title_full_unstemmed | Learning from data streams processing techniques in sensor networks Hrsg. Joao Gama ... |
| title_short | Learning from data streams |
| title_sort | learning from data streams processing techniques in sensor networks |
| title_sub | processing techniques in sensor networks |
| topic | Inteligência artificial larpcal Mineração de dados larpcal Sistemas híbridos larpcal Algorithms Coding theory Data mining Sensor networks Data Mining (DE-588)4428654-5 gnd Datenstrom (DE-588)4410055-3 gnd Wissensextraktion (DE-588)4546354-2 gnd Information-Retrieval-System (DE-588)4670557-0 gnd Datenverwaltung (DE-588)4011168-4 gnd Drahtloses Sensorsystem (DE-588)4789222-5 gnd Verteiltes System (DE-588)4238872-7 gnd |
| topic_facet | Inteligência artificial Mineração de dados Sistemas híbridos Algorithms Coding theory Data mining Sensor networks Data Mining Datenstrom Wissensextraktion Information-Retrieval-System Datenverwaltung Drahtloses Sensorsystem Verteiltes System Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016080202&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT gamajoao learningfromdatastreamsprocessingtechniquesinsensornetworks |