ePUB Nathan Eagle Ç Reality Mining Epub Ë Ç

A look at how Big Data can be put to positive use from helping users break bad habits to tracking the global spread of diseaseBig Data is made up of lots of little data numbers entered into cell phones addresses entered into GPS devices visits to websites online purchases ATM transactions and any other activity that leaves a digital trail Although the abuse of Big Data surveillance spying hacking has made headlines it shouldn't overshadow the abundant positive applications of Big Data In Reality Mining Nathan Eagle and Kate Greene cut through the hype and the headlines to explore the positive potential of Big Data showing the ways in which the analysis of Big Data Reality Mining can be used to improve human systems as varied as political polling and disease tracking while considering user privacyEagle a recognized expert in the field and Greene an experienced technology journalist describe Reality Mining at five different levels the individual the neighborhood and organization the city the nation and the world For each level they first offer a nontechnical explanation of data collection methods and then describe applications and systems that have been or could be built These include a mobile app that helps smokers uit smoking; a workplace knowledge system; the use of GPS Wi Fi and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease Eagle and Greene argue that Big Data used respectfully and responsibly can help people live better healthier and happier lives

10 thoughts on “Reality Mining

  1. says:

    Full of well researched information but many examples are obvious or worse socially naive Additionally while the first half proposed some interesting ideas I felt the latter half relied too heavily on a few examples to make its point and failed to live up to the premise

  2. says:

    I found this a good summary of current trends in using data to make sense of our world with a call at the end to technologists to improve neighborhoods fight infectious disease and use data in other beneficial ways The authors don't show much interest in commercial uses of personal data and disparage consumer tracking focusing on how governments and communities can use it If you're interested in how Twitter data can be used to identify flu trends in the UK you'll find that here pp 161 Even better you'll get a brief but helpful non technical description of how the data was used to produce those insights But detailed technical explanations would be too long and hard to read for a book of this type However the book is short and is aimed at a general reader so don't expect intensive discussions of statistical algorithms The authors include some technical information but are careful to limit it to material that can be understood a person with a modest exposure to technology in the general press

  3. says:

    I wanted a in depth study of a few specific cases rather than a shotgun approach with so many repeats and with such little backing data; lacked an end to end POINT I wanted discussions on the software necessary the rise of the internet of things and specific deep insights and examples about how volumes of data could lead to results you could not get through other mechanisms What I got instead was what seemed like 10 stories about traffic

  4. says:

    The authors have given a good review on the current status of big data efforts in data collection and application It mainly deals with efforts lead by companies So the focus is given to works which can be deployed within few years not long term possibilities which is the focus of academic research It is intended for researchers in the field and can be a little tough on casual readers

  5. says:

    This book is an interesting summary of ideas on how to use and where to find big data in our current world