Mobility, Data Mining and Privacy: Geographic Knowledge Discovery [Hardcover]

Fosca Giannotti (Editor), Dino Pedreschi (Editor)

Book Description

ISBN-10: 3540751769 | ISBN-13: 978-3540751762 | Publication Date: February 6, 2008 | Edition: 1

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.

Editorial Reviews

From the Back Cover

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.

Product Details

• Hardcover: 424 pages
• Publisher: Springer; 1 edition (February 6, 2008)
• Language: English
• ISBN-10: 3540751769
• ISBN-13: 978-3540751762
• Product Dimensions: 9.4 x 6.3 x 1 inches
• Shipping Weight: 1.8 pounds (View shipping rates and policies)
• Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #3,365,088 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

1 of 1 people found the following review helpful:

4.0 out of 5 stars Where's the index?, September 8, 2008

By 

Chris Hobbs "cwlh" (Ottawa, Ontario Canada) - See all my reviews
(REAL NAME)   

This review is from: Mobility, Data Mining and Privacy: Geographic Knowledge Discovery (Hardcover)

As the review title suggests, the first drawback with this book is a lack of index. It is inconceivable that a book of this sophistication could be published without an index.

Putting that immense weakness aside, this is a really useful book. I am always wary of books that are really just collections of papers with each chapter written by a different set of authors. I have written such chapters for composite books myself and realise how little co-ordination there normally is between the authors and, consequently, between the chapters. So chapter N will use different terminology from chapter M for the same concept, chapter N+1 will not follow-on from chapter N, etc. Certainly this book has some of that weakness but there does seem to have been some sort of effort to align terminology and reduce repetition between papers.

There are a lot of grammatical errors not picked up in the editing phase (speeds measured in km on page 277, "hypothesis" for "hypotheses" on page 50, etc.) but apart from rather nasty misprint on page 59 they don't generally cause a loss of sense in the article.

OK, once beyond the lack of index (!!!) and grammatical errors, what are the articles like? Generally insightful, stimulating and useful. They are almost without exception fairly elementary and do not demand any great depth of knowledge in location technologies or data analysis. Instead the content is qualitative and presents methods for approaching issues rather than solutions of those issues.

I'm glad I bought the book and have learned from it.

My background: practitioner rather than academic in this field. Designing and writing systems for location-based knowledge discovery.