Mobility, Data Mining and Privacy Geographic Knowledge Discovery
The technologies of mobile communications and ubiquitous computing pervade our society, and wireless networks sense the movement of people and vehicles, generating large volumes of mobility data. This is a scenario of great opportunities and risks: on one
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Fosca Giannotti • Dino Pedreschi Editors
Mobility, Data Mining and Privacy Geographic Knowledge Discovery With 96 Figures, 12 in color, and 5 Tables
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Fosca Giannotti KDD Laboratory ISTI-CNR, Istituto di Scienza e Tecnologie dell'Informazione "A. Faedo" Via G. Moruzzi, 1 56124 Pisa, Italy [email protected]
ISBN 978-3-540-75176-2
Dino Pedreschi KDD Laboratory Dipartimento di Informatica Università di Pisa Largo B. Pontecorvo, 3 56127 Pisa, Italy [email protected]
e-ISBN 978-3-540-75177-9
Library of Congress Control Number: 2007936014 ACM Classification: C.2, G.3, H.2, H.3, H.4, I.2, I.5, J.1, J.4, K.4 c 2008 Springer-Verlag Berlin Heidelberg
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Preface
The technologies of mobile communications and ubiquitous computing are pervading 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 conflict of opportunities and risks and at the crossroads of three subjects: mobility, data mining and privacy. This book is aimed at shaping up this frontier of research, from a computer science perspective: we investigate the various scientific and technological achievements that are needed to face the challenge, and discuss the current state of the art, the open problems and the expected road-map of research. Hence, this is a book for researchers: first of all for computer science researchers, from any sub-area of the field, and also for researchers from other disciplines (such as geog
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