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The Resource Learning from data streams : processing techniques in sensor networks, João Gama, Mohamed Medhat Gaber, (electronic resource)
Learning from data streams : processing techniques in sensor networks, João Gama, Mohamed Medhat Gaber, (electronic resource)
Resource Information
The item Learning from data streams : processing techniques in sensor networks, João Gama, Mohamed Medhat Gaber, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item Learning from data streams : processing techniques in sensor networks, João Gama, Mohamed Medhat Gaber, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.
This item is available to borrow from all library branches.
- Summary
- Sensor networks consist of distributed autonomous devices that cooperatively monitor an environment. Sensors are equipped with capacities to store information in memory, process this information and communicate with their neighbors. Processing data streams generated from wireless sensor networks has raised new research challenges over the last few years due to the huge numbers of data streams to be managed continuously and at a very high rate. The book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. The set of chapters covers the state-of-art in data stream mining approaches using clustering, predictive learning, and tensor analysis techniques, and applying them to applications in security, the natural sciences, and education. This research monograph delivers to researchers and graduate students the state of the art in data stream processing in sensor networks. The huge bibliography offers an excellent starting point for further reading and future research
- Language
- eng
- Extent
- 1 online resource (x, 244 pages)
- Note
- Electronic book
- Contents
-
- Overview
- Sensor Networks: An Overview
- Data Stream Processing
- Data Stream Processing in Sensor Networks
- Data Stream Management Techniques in Sensor Networks
- Data Stream Management Systems and Architectures
- Querying of Sensor Data
- Aggregation and Summarization in Sensor Networks
- Sensory Data Monitoring
- Mining Sensor Network Data Streams
- Clustering Techniques in Sensor Networks
- Predictive Learning in Sensor Networks
- Tensor Analysis on Multi-aspect Streams
- Applications
- Knowledge Discovery from Sensor Data for Security Applications
- Knowledge Discovery from Sensor Data For Scientific Applications
- TinyOS Education with LEGO MINDSTORMS NXT
- Isbn
- 9783540736783
- Label
- Learning from data streams : processing techniques in sensor networks
- Title
- Learning from data streams
- Title remainder
- processing techniques in sensor networks
- Statement of responsibility
- João Gama, Mohamed Medhat Gaber
- Subject
-
- Algorithms
- Algorithms
- Algorithms
- Artificial Intelligence (incl. Robotics)
- Artificial Intelligence (incl. Robotics)
- Coding theory
- Coding theory
- Coding theory
- Computer Communication Networks
- Computer Communication Networks
- Data mining
- Data mining
- Data mining
- Electronic books
- Electronic books
- Electronic resources
- Information Storage and Retrieval
- Information Storage and Retrieval
- Informatique
- Inteligência artificial
- Mineração de dados
- Sensor networks
- Sensor networks
- Sensor networks
- Sistemas híbridos
- TECHNOLOGY & ENGINEERING -- Sensors
- Language
- eng
- Summary
- Sensor networks consist of distributed autonomous devices that cooperatively monitor an environment. Sensors are equipped with capacities to store information in memory, process this information and communicate with their neighbors. Processing data streams generated from wireless sensor networks has raised new research challenges over the last few years due to the huge numbers of data streams to be managed continuously and at a very high rate. The book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. The set of chapters covers the state-of-art in data stream mining approaches using clustering, predictive learning, and tensor analysis techniques, and applying them to applications in security, the natural sciences, and education. This research monograph delivers to researchers and graduate students the state of the art in data stream processing in sensor networks. The huge bibliography offers an excellent starting point for further reading and future research
- Cataloging source
- GW5XE
- Image bit depth
- 0
- LC call number
- TK7872.D48
- LC item number
- L43 2007eb
- Literary form
- non fiction
- Nature of contents
- dictionaries
- http://library.link/vocab/relatedWorkOrContributorName
-
- SpringerLink
- Gama, João
- Gaber, Mohamed Medhat
- http://library.link/vocab/subjectName
-
- Sensor networks
- Data mining
- Algorithms
- Coding theory
- Artificial Intelligence (incl. Robotics)
- Computer Communication Networks
- Information Storage and Retrieval
- TECHNOLOGY & ENGINEERING
- Informatique
- Algorithms
- Coding theory
- Data mining
- Sensor networks
- Mineração de dados
- Inteligência artificial
- Sistemas híbridos
- Sensor networks
- Data mining
- Algorithms
- Coding theory
- Artificial Intelligence (incl. Robotics)
- Computer Communication Networks
- Information Storage and Retrieval
- Electronic books
- Label
- Learning from data streams : processing techniques in sensor networks, João Gama, Mohamed Medhat Gaber, (electronic resource)
- Note
- Electronic book
- Antecedent source
- mixed
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- not applicable
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Overview -- Sensor Networks: An Overview -- Data Stream Processing -- Data Stream Processing in Sensor Networks -- Data Stream Management Techniques in Sensor Networks -- Data Stream Management Systems and Architectures -- Querying of Sensor Data -- Aggregation and Summarization in Sensor Networks -- Sensory Data Monitoring -- Mining Sensor Network Data Streams -- Clustering Techniques in Sensor Networks -- Predictive Learning in Sensor Networks -- Tensor Analysis on Multi-aspect Streams -- Applications -- Knowledge Discovery from Sensor Data for Security Applications -- Knowledge Discovery from Sensor Data For Scientific Applications -- TinyOS Education with LEGO MINDSTORMS NXT
- Dimensions
- unknown
- Extent
- 1 online resource (x, 244 pages)
- File format
- multiple file formats
- Form of item
-
- online
- electronic
- Isbn
- 9783540736783
- Level of compression
- uncompressed
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations
- Quality assurance targets
- absent
- Reformatting quality
- access
- Specific material designation
- remote
- Stock number
- 978-3-540-73678-3
- System control number
-
- (OCoLC)213091693
- (OCoLC)ocn213091693
- (DE-He213)3-540-73679-4
- Label
- Learning from data streams : processing techniques in sensor networks, João Gama, Mohamed Medhat Gaber, (electronic resource)
- Note
- Electronic book
- Antecedent source
- mixed
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- not applicable
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Overview -- Sensor Networks: An Overview -- Data Stream Processing -- Data Stream Processing in Sensor Networks -- Data Stream Management Techniques in Sensor Networks -- Data Stream Management Systems and Architectures -- Querying of Sensor Data -- Aggregation and Summarization in Sensor Networks -- Sensory Data Monitoring -- Mining Sensor Network Data Streams -- Clustering Techniques in Sensor Networks -- Predictive Learning in Sensor Networks -- Tensor Analysis on Multi-aspect Streams -- Applications -- Knowledge Discovery from Sensor Data for Security Applications -- Knowledge Discovery from Sensor Data For Scientific Applications -- TinyOS Education with LEGO MINDSTORMS NXT
- Dimensions
- unknown
- Extent
- 1 online resource (x, 244 pages)
- File format
- multiple file formats
- Form of item
-
- online
- electronic
- Isbn
- 9783540736783
- Level of compression
- uncompressed
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations
- Quality assurance targets
- absent
- Reformatting quality
- access
- Specific material designation
- remote
- Stock number
- 978-3-540-73678-3
- System control number
-
- (OCoLC)213091693
- (OCoLC)ocn213091693
- (DE-He213)3-540-73679-4
Subject
- Algorithms
- Algorithms
- Algorithms
- Artificial Intelligence (incl. Robotics)
- Artificial Intelligence (incl. Robotics)
- Coding theory
- Coding theory
- Coding theory
- Computer Communication Networks
- Computer Communication Networks
- Data mining
- Data mining
- Data mining
- Electronic books
- Electronic books
- Electronic resources
- Information Storage and Retrieval
- Information Storage and Retrieval
- Informatique
- Inteligência artificial
- Mineração de dados
- Sensor networks
- Sensor networks
- Sensor networks
- Sistemas híbridos
- TECHNOLOGY & ENGINEERING -- Sensors
Genre
Member of
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.bu.edu/portal/Learning-from-data-streams--processing/mER5teofqK0/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.bu.edu/portal/Learning-from-data-streams--processing/mER5teofqK0/">Learning from data streams : processing techniques in sensor networks, João Gama, Mohamed Medhat Gaber, (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.bu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.bu.edu/">Boston University Libraries</a></span></span></span></span></div>
