European University Institute Library

Data mining, M.M. Eboch, book editor

Label
Data mining, M.M. Eboch, book editor
Language
eng
Bibliography note
Includes bibliographical references and index
Illustrations
illustrations
Index
index present
resource.interestGradeLevel
Grade 9 to 12
Literary Form
non fiction
Main title
Data mining
Nature of contents
bibliography
Oclc number
1004733444
Responsibility statement
M.M. Eboch, book editor
Series statement
Introducing Issues With Opposing Viewpoints
Summary
In this tech-obsessed day and age, there is no such thing as true security, unless you have no digital footprint whatsoever and live entirely off the grid. A smartphone, a laptop, an online shopping account, all of these things leave users vulnerable to data mining. The viewpoints in this resource debate data mining and whether it's a danger to society or, ultimately, a boon that will only help our technology-driven world grow more efficient. Readers will learn about the benefits of data mining as well as the pitfalls that come with security breaches. --, provided by publisher
Table Of Contents
Data brokers know all about you / Lois Beckett -- Big data has the potential to discriminate / Jason Furman and Tim Simcoe -- Data surveillance is all around us, and it will change our behavior / Uri Gal -- Surveillance can go too far / National Coalition against Censorship -- Corporate cybersnooping is a big business / Stephanie Simon and Josh Gerstein -- Data can improve city life / William Echikson -- Big data can make a company more efficient / World Economic Forum -- Data collection will improve health care / Carol McDonald -- Big data failed to predict the flu / Adam Kucharski -- Big data helps determine our leaders / Teradata India -- Government surveillance is a failure / Rachel Levinson-Waldman -- Data mining won't stop terrorism, but it is one step closer to the police state / American Civil Liberties Union of Massachusetts -- Big data can help predict crimes / H.V. Jagadish -- Data mining can be discriminatory / Jeremy Kun -- Anyonymity on the internet / Mary Madden and Lee Rainie
Target audience
juvenile
Contributor
Content
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