Mobility, Data Mining and Privacy: Geographic Knowledge Discovery (Hardcover)

Fosca Giannotti, Dino Pedreschi

  • 出版商: Springer
  • 出版日期: 2007-12-18
  • 售價: $4,400
  • 貴賓價: 9.5$4,180
  • 語言: 英文
  • 頁數: 410
  • 裝訂: Hardcover
  • ISBN: 3540751769
  • ISBN-13: 9783540751762
  • 相關分類: 地理資訊系統 GisData-mining
  • 海外代購書籍(需單獨結帳)

買這商品的人也買了...

商品描述

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 assesses this research frontier from a computer science perspective, investigating the various scientific and technological issues, open problems, and roadmap. The editors manage a research project called GeoPKDD, Geographic Privacy-Aware Knowledge Discovery and Delivery, funded by the EU Commission and involving 40 researchers from 7 countries, and this book tightly integrates and relates their findings in 13 chapters covering all related subjects, including the concepts of movement data and knowledge discovery from movement data; privacy-aware geographic knowledge discovery; wireless network and next-generation mobile technologies; trajectory data models, systems and warehouses; privacy and security aspects of technologies and related regulations; querying, mining and reasoning on spatiotemporal data; and visual analytics methods for movement data.

This book will benefit researchers and practitioners in the related areas of computer science, geography, social science, statistics, law, telecommunications and transportation engineering.

商品描述(中文翻譯)

移動通訊和普遍計算技術已經滲透到我們的社會,無線網絡感知人和車輛的移動,產生大量的移動數據。這是一個充滿機遇和風險的場景:一方面,挖掘這些數據可以產生有用的知識,支持可持續的移動和智能交通系統;另一方面,個人隱私面臨風險,因為移動數據包含敏感的個人信息。在移動、數據挖掘和隱私交叉點上,出現了一個新的跨學科研究領域。

本書從計算機科學的角度評估了這一研究前沿,探討了各種科學和技術問題、開放問題和路線圖。編者們管理著一個名為GeoPKDD(地理隱私感知知識發現和傳遞)的研究項目,該項目由歐盟委員會資助,涉及來自7個國家的40名研究人員,本書緊密地整合和關聯了他們在13個章節中的研究成果,涵蓋了所有相關主題,包括移動數據和從移動數據中發現知識的概念;隱私感知的地理知識發現;無線網絡和下一代移動技術;軌跡數據模型、系統和數據倉庫;技術和相關法規的隱私和安全方面;對時空數據進行查詢、挖掘和推理;以及移動數據的可視化分析方法。

本書將對計算機科學、地理學、社會科學、統計學、法律、電信和交通工程等相關領域的研究人員和從業人員有所裨益。