 |
ISBN
| 9783540751762 | |
DDC
| 005.75 | |
Nhan đề
| Mobility, data mining, and privacy : geographic knowledge discovery / Gianni Giannotti, Dino Pedreschi (editor) | |
Thông tin xuất bản
| Berlin : Springer Heidelberg, 2008 | |
Mô tả vật lý
| 412 pages. : illustrations (some color) ; cm. | |
Tóm tắt
| 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 side, mining this data can produce useful knowledge, supporting sustainable mobility and intelligent transportation systems; on the other side, individual privacy is at risk, as the mobility data contain sensitive personal information. A new multidisciplinary research area is emerging at this crossroads of mobility, data mining, and privacy." "This book will benefit researchers and practitioners in the related areas of computer science, geography, social science, statistics, law, telecommunications and transportation engineering | |
Từ khóa tự do
| Geographic knowledge discovery (GKD) | |
Từ khóa tự do
| Location privacy | |
Từ khóa tự do
| Mobility analysis | |
Từ khóa tự do
| Spatial data mining | |
Từ khóa tự do
| Data mining | |
Từ khóa tự do
| Machine learning | |
Từ khóa tự do
| GIS | |
Khoa
| Khoa Công nghệ Thông tin | |
Tác giả(bs) CN
| Giannotti, Gianni | |
Tác giả(bs) CN
| Pedreschi, Dino | |
Địa chỉ
| Thư Viện Đại học Nguyễn Tất Thành |
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| 082 | |a005.75|bM6878|223 |
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| 245 | |aMobility, data mining, and privacy : |bgeographic knowledge discovery / |cGianni Giannotti, Dino Pedreschi (editor) |
|---|
| 260 | |aBerlin : |bSpringer Heidelberg, |c2008 |
|---|
| 300 | |a412 pages. : |billustrations (some color) ; |ccm. |
|---|
| 520 | |aThe 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 side, mining this data can produce useful knowledge, supporting sustainable mobility and intelligent transportation systems; on the other side, individual privacy is at risk, as the mobility data contain sensitive personal information. A new multidisciplinary research area is emerging at this crossroads of mobility, data mining, and privacy." "This book will benefit researchers and practitioners in the related areas of computer science, geography, social science, statistics, law, telecommunications and transportation engineering |
|---|
| 653 | |aGeographic knowledge discovery (GKD) |
|---|
| 653 | |aLocation privacy |
|---|
| 653 | |aMobility analysis |
|---|
| 653 | |aSpatial data mining |
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| 653 | |aData mining |
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| 653 | |aMachine learning |
|---|
| 653 | |aGIS |
|---|
| 690 | |aKhoa Công nghệ Thông tin |
|---|
| 691 | |aKỹ thuật phần mềm |
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| 700 | |aGiannotti, Gianni |eeditor |
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| 700 | |aPedreschi, Dino|eeditor |
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| 852 | |aThư Viện Đại học Nguyễn Tất Thành |
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