Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London ; s.l.
Springer London
2014
Imprint: Springer |
| Schriftenreihe: | SpringerBriefs in Computer Science
|
| Schlagworte: | |
| Online-Zugang: | Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | Description based upon print version of record |
| Beschreibung: | 1 Online-Ressource (XIII, 105 p.) Ill. |
| ISBN: | 9781447154549 9781447154532 |
| DOI: | 10.1007/978-1-4471-5454-9 |
Internformat
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Datensatz im Suchindex
| _version_ | 1804152010979672064 |
|---|---|
| adam_text | DATA MINING TECHNIQUES IN SENSOR NETWORKS
/ APPICE, ANNALISA
: 2014
TABLE OF CONTENTS / INHALTSVERZEICHNIS
INTRODUCTION
SENSOR NETWORKS AND DATA STREAMS: BASICS
GEODATA STREAM SUMMARIZATION
MISSING SENSOR DATA INTERPOLATION
SENSOR DATA SURVEILLANCE
SENSOR DATA ANALYSIS APPLICATIONS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
DATA MINING TECHNIQUES IN SENSOR NETWORKS
/ APPICE, ANNALISA
: 2014
ABSTRACT / INHALTSTEXT
EMERGING REAL LIFE APPLICATIONS, SUCH AS ENVIRONMENTAL COMPLIANCE,
ECOLOGICAL STUDIES AND METEOROLOGY, ARE CHARACTERIZED BY REAL-TIME DATA
ACQUISITION THROUGH A NUMBER OF (WIRELESS) REMOTE SENSORS. OPERATIVELY,
REMOTE SENSORS ARE INSTALLED ACROSS A SPATIALLY DISTRIBUTED NETWORK;
THEY GATHER INFORMATION ALONG A NUMBER OF ATTRIBUTE DIMENSIONS AND
PERIODICALLY FEED A CENTRAL SERVER WITH THE MEASURED DATA. THE SERVER IS
REQUIRED TO MONITOR THESE DATA, ISSUE POSSIBLE ALARMS OR COMPUTE FAST
AGGREGATES. AS DATA ANALYSIS REQUESTS, WHICH ARE SUBMITTED TO A SERVER,
MAY CONCERN BOTH PRESENT AND PAST DATA, THE SERVER IS FORCED TO STORE
THE ENTIRE STREAM. BUT, IN THE CASE OF MASSIVE STREAMS (LARGE NETWORKS
AND/OR FREQUENT TRANSMISSIONS), THE LIMITED STORAGE CAPACITY OF A SERVER
MAY IMPOSE TO REDUCE THE AMOUNT OF DATA STORED ON THE DISK. ONE
SOLUTION TO ADDRESS THE STORAGE LIMITS IS TO COMPUTE SUMMARIES OF THE
DATA AS THEY ARRIVE AND USE THESE SUMMARIES TO INTERPOLATE THE REAL DATA
WHICH ARE DISCARDED INSTEAD. ON ANY FUTURE DEMANDS OF FURTHER ANALYSIS
OF THE DISCARDED DATA, THE SERVER PIECES TOGETHER THE DATA FROM THE
SUMMARIES STORED IN DATABASE AND PROCESSES THEM ACCORDING TO THE
REQUESTS. THIS WORK INTRODUCES THE MULTIPLE POSSIBILITIES AND FACETS OF
A RECENTLY DEFINED SPATIO-TEMPORAL PATTERN, CALLED TREND CLUSTER, AND
ITS APPLICATIONS TO SUMMARIZE, INTERPOLATE AND IDENTIFY ANOMALIES IN A
SENSOR NETWORK. AS AN EXAMPLE APPLICATION, THE AUTHORS ILLUSTRATE
THE APPLICATION OF TREND CLUSTER DISCOVERY TO MONITOR THE EFFICIENCY OF
PHOTOVOLTAIC POWER PLANTS. THE WORK CLOSES WITH REMARKS ON NEW
POSSIBILITIES FOR SURVEILLANCE GAINED BY RECENT DEVELOPMENTS OF SENSING
TECHNOLOGY, AND WITH AN OUTLINE OF FUTURE CHALLENGES
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Appice, Annalisa Ciampi, Anna Fumarola, Fabio Malerba, Donato |
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| author_role | aut aut aut aut |
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| author_variant | a a aa a c ac f f ff d m dm |
| building | Verbundindex |
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| dewey-full | 910 |
| dewey-hundreds | 900 - History & geography |
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| discipline | Informatik Geographie Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| doi_str_mv | 10.1007/978-1-4471-5454-9 |
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| spelling | Appice, Annalisa Verfasser (DE-588)1076896294 aut Data Mining Techniques in Sensor Networks Summarization, Interpolation and Surveillance by Annalisa Appice, Anna Ciampi, Fabio Fumarola, Donato Malerba London ; s.l. Springer London 2014 Imprint: Springer 1 Online-Ressource (XIII, 105 p.) Ill. txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in Computer Science Description based upon print version of record Online-Ausgabe Springer eBook Collection / Computer Science Sensortechnik (DE-588)4121663-5 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Informatik (DE-588)4026894-9 gnd rswk-swf Informatik (DE-588)4026894-9 s Data Mining (DE-588)4428654-5 s Sensortechnik (DE-588)4121663-5 s DE-604 Ciampi, Anna aut Fumarola, Fabio aut Malerba, Donato aut Reproduktion von Appice, Annalisa Data Mining Techniques in Sensor Networks 2014 https://doi.org/10.1007/978-1-4471-5454-9 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027175616&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027175616&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
| spellingShingle | Appice, Annalisa Ciampi, Anna Fumarola, Fabio Malerba, Donato Data Mining Techniques in Sensor Networks Summarization, Interpolation and Surveillance Sensortechnik (DE-588)4121663-5 gnd Data Mining (DE-588)4428654-5 gnd Informatik (DE-588)4026894-9 gnd |
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| title | Data Mining Techniques in Sensor Networks Summarization, Interpolation and Surveillance |
| title_auth | Data Mining Techniques in Sensor Networks Summarization, Interpolation and Surveillance |
| title_exact_search | Data Mining Techniques in Sensor Networks Summarization, Interpolation and Surveillance |
| title_full | Data Mining Techniques in Sensor Networks Summarization, Interpolation and Surveillance by Annalisa Appice, Anna Ciampi, Fabio Fumarola, Donato Malerba |
| title_fullStr | Data Mining Techniques in Sensor Networks Summarization, Interpolation and Surveillance by Annalisa Appice, Anna Ciampi, Fabio Fumarola, Donato Malerba |
| title_full_unstemmed | Data Mining Techniques in Sensor Networks Summarization, Interpolation and Surveillance by Annalisa Appice, Anna Ciampi, Fabio Fumarola, Donato Malerba |
| title_short | Data Mining Techniques in Sensor Networks |
| title_sort | data mining techniques in sensor networks summarization interpolation and surveillance |
| title_sub | Summarization, Interpolation and Surveillance |
| topic | Sensortechnik (DE-588)4121663-5 gnd Data Mining (DE-588)4428654-5 gnd Informatik (DE-588)4026894-9 gnd |
| topic_facet | Sensortechnik Data Mining Informatik |
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