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Mobility, Data Mining and Privacy: Geographic Knowledge Discovery by Fosca Giann
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eBay item number:364686950239
Item specifics
- Condition
- ISBN-13
- 9783540751762
- Book Title
- Mobility, Data Mining and Privacy
- ISBN
- 9783540751762
- Subject Area
- Mathematics, Computers, Technology & Engineering
- Publication Name
- Mobility, Data Mining and Privacy : Geographic Knowledge Discovery
- Publisher
- Springer Berlin / Heidelberg
- Item Length
- 9.3 in
- Subject
- Mobile & Wireless Communications, Probability & Statistics / General, Remote Sensing & Geographic Information Systems, Databases / Data Mining, Databases / General
- Publication Year
- 2007
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Weight
- 31.1 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xiv, 410 Pages
About this product
Product Identifiers
Publisher
Springer Berlin / Heidelberg
ISBN-10
3540751769
ISBN-13
9783540751762
eBay Product ID (ePID)
63847594
Product Key Features
Number of Pages
Xiv, 410 Pages
Publication Name
Mobility, Data Mining and Privacy : Geographic Knowledge Discovery
Language
English
Subject
Mobile & Wireless Communications, Probability & Statistics / General, Remote Sensing & Geographic Information Systems, Databases / Data Mining, Databases / General
Publication Year
2007
Type
Textbook
Subject Area
Mathematics, Computers, Technology & Engineering
Format
Hardcover
Dimensions
Item Weight
31.1 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2007-936014
Dewey Edition
22
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
005.74
Table Of Content
Setting the Stage.- Mobility, Data Mining and Privacy: A Vision of Convergence.- Basic Concepts of Movement Data.- Characterising the Next Generation of Mobile Applications Through a Privacy-Aware Geographic Knowledge Discovery Process.- Wireless Network Data Sources: Tracking and Synthesizing Trajectories.- Privacy Protection: Regulations and Technologies, Opportunities and Threats.- Managing Moving Object and Trajectory Data.- Trajectory Data Models.- Trajectory Database Systems.- Towards Trajectory Data Warehouses.- Privacy and Security in Spatiotemporal Data and Trajectories.- Mining Spatiotemporal and Trajectory Data.- Knowledge Discovery from Geographical Data.- Spatiotemporal Data Mining.- Privacy in Spatiotemporal Data Mining.- Querying and Reasoning for Spatiotemporal Data Mining.- Visual Analytics Methods for Movement Data.
Synopsis
Mobile communications and ubiquitous computing generate large volumes of data. Mining this data can produce useful knowledge, yet individual privacy is at risk. This book investigates the various scientific and technological issues of mobility data, open problems, and roadmap. The editors manage a research project called GeoPKDD, Geographic Privacy-Aware Knowledge Discovery and Delivery, and this book relates their findings in 13 chapters covering all related subjects., The technologies of mobile communications and ubiquitous computing are p- vading our society. Wireless networks are becoming the nerves of our territory, especially in the urban setting; through these nerves, the movement of people and vehicles may be sensed and possibly recorded, thus producing large volumes of mobility data. This is a scenario of great opportunities and risks. On one side, data mining can be put to work to analyse these data, with the purpose of producing useful knowledge in support of sustainable mobility and intelligent transportation systems. On the other side, individual privacy is at risk, as the mobility data may reveal, if misused, highly sensitive personal information. In a nutshell, a novel multi-disciplinary research area is emerging within this challenging con'ict of opportunities and risks and at the crossroads of three s- jects: mobility, data mining and privacy. This book is aimed at shaping up this frontier of research, from a computer science perspective: we investigate the v- ious scienti'c and technologicalachievementsthat are needed to face the challenge, anddiscussthecurrentstate oftheart,theopenproblemsandtheexpectedroad-map of research. Hence, this is a book for researchers: ?rst of all for computer science researchers, from any sub-area of the ?eld, and also for researchers from other disciplines (such as geography, statistics, social sciences, law, telecommunication and transportation engineering) who are willing to engage in a multi-disciplinary research area with potential for broad social and economic impact., The technologies of mobile communications and ubiquitous computing are p- vading our society. Wireless networks are becoming the nerves of our territory, especially in the urban setting; through these nerves, the movement of people and vehicles may be sensed and possibly recorded, thus producing large volumes of mobility data. This is a scenario of great opportunities and risks. On one side, data mining can be put to work to analyse these data, with the purpose of producing useful knowledge in support of sustainable mobility and intelligent transportation systems. On the other side, individual privacy is at risk, as the mobility data may reveal, if misused, highly sensitive personal information. In a nutshell, a novel multi-disciplinary research area is emerging within this challenging con?ict of opportunities and risks and at the crossroads of three s- jects: mobility, data mining and privacy. This book is aimed at shaping up this frontier of research, from a computer science perspective: we investigate the v- ious scienti?c and technologicalachievementsthat are needed to face the challenge, anddiscussthecurrentstate oftheart, theopenproblemsandtheexpectedroad-map of research. Hence, this is a book for researchers: ?rst of all for computer science researchers, from any sub-area of the ?eld, and also for researchers from other disciplines (such as geography, statistics, social sciences, law, telecommunication and transportation engineering) who are willing to engage in a multi-disciplinary research area with potential for broad social and economic impact, The technologies of mobile communications and ubiquitous computing are p- vading our society. Wireless networks are becoming the nerves of our territory, especially in the urban setting; through these nerves, the movement of people and vehicles may be sensed and possibly recorded, thus producing large volumes of mobility data. This is a scenario of great opportunities and risks. On one side, data mining can be put to work to analyse these data, with the purpose of producing useful knowledge in support of sustainable mobility and intelligent transportation systems. On the other side, individual privacy is at risk, as the mobility data may reveal, if misused, highly sensitive personal information. In a nutshell, a novel multi-disciplinary research area is emerging within this challenging con?ict of opportunities and risks and at the crossroads of three s- jects: mobility, data mining and privacy. This book is aimed at shaping up this frontier of research, from a computer science perspective: we investigate the v- ious scienti?c and technologicalachievementsthat are needed to face the challenge, anddiscussthecurrentstate oftheart,theopenproblemsandtheexpectedroad-map of research. Hence, this is a book for researchers: ?rst of all for computer science researchers, from any sub-area of the ?eld, and also for researchers from other disciplines (such as geography, statistics, social sciences, law, telecommunication and transportation engineering) who are willing to engage in a multi-disciplinary research area with potential for broad social and economic impact., The technologies of mobile communications and ubiquitous computing are p- vading our society. Wireless networks are becoming the nerves of our territory, especially in the urban setting; through these nerves, the movement of people and vehicles may be sensed and possibly recorded, thus producing large volumes of mobility data. This is a scenario of great opportunities and risks. On one side, data mining can be put to work to analyse these data, with the purpose of producing useful knowledge in support of sustainable mobility and intelligent transportation systems. On the other side, individual privacy is at risk, as the mobility data may reveal, if misused, highly sensitive personal information. In a nutshell, a novel multi-disciplinary research area is emerging within this challenging con'ict of opportunities and risks and at the crossroads of three s- jects: mobility, data mining and privacy. This book is aimed at shaping up this frontier of research, from a computer science perspective: we investigate the v- ious scienti'c and technologicalachievementsthat are needed to face the challenge, anddiscussthecurrentstate oftheart, theopenproblemsandtheexpectedroad-map of research. Hence, this is a book for researchers: ?rst of all for computer science researchers, from any sub-area of the ?eld, and also for researchers from other disciplines (such as geography, statistics, social sciences, law, telecommunication and transportation engineering) who are willing to engage in a multi-disciplinary research area with potential for broad social and economic impact
LC Classification Number
QA76.9.D343
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