Mobility, Data Mining and Privacy: Geographic Knowledge Discovery (Hardcover)
暫譯: 移動性、資料探勘與隱私:地理知識發現 (精裝版)

Fosca Giannotti, Dino Pedreschi

  • 出版商: Springer
  • 出版日期: 2007-12-18
  • 售價: $4,470
  • 貴賓價: 9.5$4,247
  • 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)

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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)

行動通信和無所不在計算的技術滲透我們的社會,無線網絡能夠感知人員和車輛的移動,產生大量的移動數據。這是一個充滿機會和風險的情境:一方面,挖掘這些數據可以產生有用的知識,支持可持續的移動性和智能交通系統;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。在這個移動性、數據挖掘和隱私的交叉點上,出現了一個新的多學科研究領域。

本書從計算機科學的角度評估這一研究前沿,探討各種科學和技術問題、未解決的問題以及未來的路線圖。編輯們管理一個名為GeoPKDD的研究項目,即地理隱私意識知識發現與交付,該項目由歐盟委員會資助,涉及來自7個國家的40位研究人員,本書緊密整合並關聯他們的研究成果,分為13章,涵蓋所有相關主題,包括移動數據和從移動數據中發現知識的概念;隱私意識的地理知識發現;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;技術的隱私和安全方面及相關法規;對時空數據的查詢、挖掘和推理;以及針對移動數據的視覺分析方法。

本書將惠及計算機科學、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實務工作者。